{"id":31604,"date":"2025-12-09T12:05:14","date_gmt":"2025-12-09T11:05:14","guid":{"rendered":"https:\/\/keplervision.eu\/kepler-frequently-asked-questions\/"},"modified":"2025-12-09T15:22:02","modified_gmt":"2025-12-09T14:22:02","slug":"frequently-asked-questions","status":"publish","type":"page","link":"https:\/\/keplervision.eu\/en\/frequently-asked-questions\/","title":{"rendered":"Kepler Frequently Asked Questions"},"content":{"rendered":"<!--themify_builder_content-->\n<div id=\"themify_builder_content-31604\" data-postid=\"31604\" class=\"themify_builder_content themify_builder_content-31604 themify_builder tf_clear\">\n                    <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_6rgk055 tb_first tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_1 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col-full tb_ojpn550 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_q4i3770    hide-mobile\" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2 style=\"text-align: center;\">Frequently Asked Questions<\/h2>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module text -->\n<div  class=\"module module-text tb_3r51183    hide-desktop hide-tablet hide-tablet_landscape\" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2 style=\"text-align: left;\">Frequently Asked Question<\/h2>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module tab -->\n<div  id=\"tb_9xiw078\" class=\"module ui module-tab tb_9xiw078 minimal  transparent \" data-lazy=\"1\" data-fx=\"fadeIn\">\n        <div class=\"tab-nav-current-active tf_hide\">\n\t\t<span class=\"tab_burger_icon_wrap\">\n\t        <span class=\"tab_burger_icon tf_rel\"><\/span>\n\t\t<\/span>\n        <span class=\"tb_activetab_title\">\n            <span class=\"tb_tab_title\">Product &amp; Technology<\/span>\n                    <\/span>\n    <\/div>\n    <ul class=\"tab-nav tf_clearfix tf_scrollbar\">\n                <li class=\"current\" aria-expanded=\"true\">\n            <a href=\"#tab-tb_9xiw078-0\">\n                                <span class=\"tb_tab_title\">Product &amp; Technology<\/span>                                            <\/a>\n        <\/li>\n                <li aria-expanded=\"false\">\n            <a href=\"#tab-tb_9xiw078-1\">\n                                <span class=\"tb_tab_title\">Elderly Care<\/span>                                            <\/a>\n        <\/li>\n                <li aria-expanded=\"false\">\n            <a href=\"#tab-tb_9xiw078-2\">\n                                <span class=\"tb_tab_title\">Personnel &amp; Operations<\/span>                                            <\/a>\n        <\/li>\n                <li aria-expanded=\"false\">\n            <a href=\"#tab-tb_9xiw078-3\">\n                                <span class=\"tb_tab_title\">Privacy, Security &amp; Ethics<\/span>                                            <\/a>\n        <\/li>\n            <\/ul>\n            <div data-id=\"tab-tb_9xiw078-0\" class=\"tab-content tf_clear wow\" aria-hidden=\"false\">\n                    <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_23mm45\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_ru7i222 first\">\n                    <!-- module accordion -->\n<div  class=\"module module-accordion tb_jx56220 \" data-behavior=\"toggle\" data-lazy=\"1\">\n    <h3 class=\"module-title\">Product & Technology<\/h3>\n    <ul class=\"ui module-accordion separate  transparent\">\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-jx56220-0\" class=\"tb_title_accordion\" aria-controls=\"acc-jx56220-0-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\" xlink:href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\" xlink:href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">How do Kepler Night Nurse and Kepler NurseAssist detect falls in real time and help reduce them?<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-jx56220-0-content\" data-id=\"acc-jx56220-0\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_iqyt220\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_xury220 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_ml7p220   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        \n\n\n\n\n\n\n\n<span style=\"background-color: initial;\">Kepler Night Nurse and Kepler Nurse Assist use anonymized computer vision technology and AI-powered sensors that monitor residents 24\/7. When a fall is detected, caregivers receive immediate notification, which helps reduce injuries and improve response time. <\/span><div><span style=\"background-color: initial;\"><br><\/span><\/div><div><span style=\"background-color: initial; text-decoration-line: underline;\"><a href=\"https:\/\/keplervision.eu\/four-ways-to-improve-the-response-time-to-falls-in-care-facilities\/\">Read more about response times here<\/a><\/span><\/div>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-jx56220-1\" class=\"tb_title_accordion\" aria-controls=\"acc-jx56220-1-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\" xlink:href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\" xlink:href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">Why is Kepler Vision's fall detection system more reliable than wearables?<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-jx56220-1-content\" data-id=\"acc-jx56220-1\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_y88r220\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_7pq7220 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_gjrr220   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        \n\n\n\n\n\n\n\n<p class=\"p1\">Unlike wearables, residents where Kepler Night Nurse and Kepler NurseAssist are used do not have to wear anything. They don&#8217;t have to remember to put a device on or charge it. Our always-active AI sensors monitor continuously, reliably and immediately detecting every fall.  <br><br><a href=\"https:\/\/keplervision.eu\/en\/customer-reviews\/\" style=\"text-decoration-line: underline;\">Read our customer reviews here<\/a><\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-jx56220-2\" class=\"tb_title_accordion\" aria-controls=\"acc-jx56220-2-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\" xlink:href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\" xlink:href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">How do Kepler Night Nurse and Kepler NurseAssist support fall prevention before incidents happen?<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-jx56220-2-content\" data-id=\"acc-jx56220-2\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_zgux220\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_zzee220 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_9lzq220   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        \n\n\n\n\n\n\n\n<p class=\"p1\">The system recognizes early risk indicators, such as sitting at the edge of the bed, getting out of bed or getting up in bed. <span style=\"background-color: initial;\">Caregivers are proactively alerted so that preventive measures can be taken.<br><\/span><span style=\"background-color: initial;\"><br>Read more about <a href=\"https:\/\/keplervision.eu\/en\/night-nurse\/\" style=\"text-decoration-line: underline;\">Kepler Night Nurse<\/a> and <a href=\"https:\/\/keplervision.eu\/en\/kepler-nurse-assist\/\" style=\"text-decoration-line: underline;\">Kepler NurseAssist<\/a> here.<\/span><span style=\"background-color: initial;\"><\/span><\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-jx56220-3\" class=\"tb_title_accordion\" aria-controls=\"acc-jx56220-3-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\" xlink:href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\" xlink:href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">Are Kepler Night Nurse and Kepler NurseAssist really always active, even at night?<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-jx56220-3-content\" data-id=\"acc-jx56220-3\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_cdzq220\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_b5n6220 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_bzk1220   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        \n\n\n\n\n\n\n\n<p class=\"p1\">Yes. Daylight is used during the day, and infrared light is used at night to provide 24\/7 monitoring. Thus, residents are always safely monitored without disturbing their sleep.  <\/p>\n<p class=\"p1\"><a href=\"https:\/\/keplervision.eu\/en\/kepler-nurse-assist\/\" style=\"text-decoration-line: underline;\">Kepler NurseAssist<\/a> always operates on cameras equipped with infrared light.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-jx56220-4\" class=\"tb_title_accordion\" aria-controls=\"acc-jx56220-4-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\" xlink:href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\" xlink:href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">What is anonymized digital supervision and how does it protect residents' privacy?<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-jx56220-4-content\" data-id=\"acc-jx56220-4\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_nl8p220\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_l2ob220 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_g1mo220   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p class=\"p1\">The software processes video footage locally and converts it into anonymized data where faces are automatically blurred. The analysis focuses only on body movement, not identity. This ensures dignity, privacy and regulatory compliance.  <\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-jx56220-5\" class=\"tb_title_accordion\" aria-controls=\"acc-jx56220-5-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\" xlink:href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\" xlink:href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">How do Kepler Night Nurse and Kepler NurseAssist provide real-time notifications for falls or abnormal behavior?<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-jx56220-5-content\" data-id=\"acc-jx56220-5\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_kwxo220\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_a0qa220 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_pyf9220   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        \n\n\n\n\n\n\n\n<p class=\"p1\">When the AI detects a fall or unusual activity, notifications are immediately sent via the <a href=\"https:\/\/keplervision.eu\/en\/partner-page\/#tab-tb_0xge22-1\" style=\"text-decoration-line: underline;\">nurse call system<\/a> to employees&#8217; mobile devices. This speeds up care and improves safety. <\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-jx56220-6\" class=\"tb_title_accordion\" aria-controls=\"acc-jx56220-6-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\" xlink:href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\" xlink:href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">What is the difference between an AI camera and a regular security camera?<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-jx56220-6-content\" data-id=\"acc-jx56220-6\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_mv8j220\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_5242220 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_w3ue220   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        \n\n\n\n\n\n\n\n<p class=\"p1\">An AI camera processes video images directly on the device itself so that human activities and risk situations are recognized locally. With an ordinary camera, this processing often does not occur or must occur externally (e.g., in the cloud or on a server). &nbsp;<span style=\"background-color: initial;\">The advantage of AI cameras is that video footage does not have to leave the camera, offering a significant privacy benefit.<\/span><\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-jx56220-7\" class=\"tb_title_accordion\" aria-controls=\"acc-jx56220-7-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\" xlink:href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\" xlink:href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">What are the numbers on the accuracy of the system? How often does it give a false report (false positive) and how often does it miss a report (false negative)? <\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-jx56220-7-content\" data-id=\"acc-jx56220-7\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_dqp1220\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_t7r0220 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_yjfh220   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p class=\"p1\"><span style=\"font-weight: bold;\">For Kepler Night Nurse (server application):<\/span><\/p>\n<p class=\"p2\"><span style=\"background-color: initial;\">For man-down alarms, Kepler Vision receives on average <\/span><span class=\"s1\" style=\"background-color: initial;\">one missed man-down per month<\/span><span style=\"background-color: initial;\">. Approximately  <\/span><span class=\"s1\" style=\"background-color: initial;\">ten false-positive man-down reports<\/span><span style=\"background-color: initial;\"> reported.<\/span><\/p>\n<p class=\"p1\"><span style=\"font-weight: bold;\">For Kepler NurseAssist (embedded application):<\/span><\/p>\n<p class=\"p1\"> <\/p>\n<p class=\"p3\">The software running on the camera uses <span class=\"s1\">the same underlying models<\/span>. Therefore, the performance statistics <span class=\"s1\">should be similar<\/span>. <\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-jx56220-8\" class=\"tb_title_accordion\" aria-controls=\"acc-jx56220-8-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\" xlink:href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\" xlink:href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">How does the system determine that a notification should be sent? What is the model logic? <\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-jx56220-8-content\" data-id=\"acc-jx56220-8\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_poxs220\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_uxc3220 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_fat7220   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        \n\n\n\n\n\n\n\n<p class=\"p1\">\n\n\n\n\n\n\n\n<\/p><p class=\"p1\">Users can customize any type of notification or alarm. Users select which notifications they want to receive. <\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-jx56220-9\" class=\"tb_title_accordion\" aria-controls=\"acc-jx56220-9-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\" xlink:href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\" xlink:href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">Are there scenarios or environments in which the system performs less effectively? What are the \"ideal\" conditions to achieve the highest effectiveness? <\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-jx56220-9-content\" data-id=\"acc-jx56220-9\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_5ifv220\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_lnew220 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_1tap220   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        \n\n\n\n\n\n\n\n<p class=\"p1\">\n\n\n\n\n\n\n\n<\/p><p class=\"p1\">\n\n\n\n\n\n\n\n<\/p><p class=\"p1\">The ideal environments are elder care facilities, mental health facilities and hospitals that use a nurse call system (Nurse Call System). It is ideal when the nursing staff has basic knowledge of how a call system works, combined with training on how notifications are generated. <\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-jx56220-10\" class=\"tb_title_accordion\" aria-controls=\"acc-jx56220-10-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\" xlink:href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\" xlink:href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">How are improvement opportunities identified, and what happens when performance declines? Is performance likely to decline over time, or will it remain consistent? <\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-jx56220-10-content\" data-id=\"acc-jx56220-10\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_qw99220\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_65ed220 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_g6an220   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        \n\n\n\n\n\n\n\n<p class=\"p1\">\n\n\n\n\n\n\n\n<\/p><p class=\"p1\">\n\n\n\n\n\n\n\n<\/p><p class=\"p1\">\n\n\n\n\n\n\n\n<\/p><p class=\"p1\">Performance typically improves during the implementation phase and then increases further when software updates are installed.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n        <\/ul>\n\n<\/div><!-- \/module accordion -->        <\/div>\n                    <\/div>\n                <\/div>\n            <div data-id=\"tab-tb_9xiw078-1\" class=\"tab-content tf_clear wow\" aria-hidden=\"true\">\n                    <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_0c3j690\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_c145690 first\">\n                    <!-- module accordion -->\n<div  class=\"module module-accordion tb_nftw690 \" data-behavior=\"toggle\" data-lazy=\"1\">\n    <h3 class=\"module-title\">Elderly Care and Living Environments<\/h3>\n    <ul class=\"ui module-accordion separate  transparent\">\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-nftw690-0\" class=\"tb_title_accordion\" aria-controls=\"acc-nftw690-0-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\" xlink:href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\" xlink:href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">How do Kepler Night Nurse and Kepler NurseAssist reduce fall risk for the elderly?<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-nftw690-0-content\" data-id=\"acc-nftw690-0\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_t9l8690\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_yop6690 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_y00d690   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p class=\"p1\">By continuously monitoring residents, the systems recognize risky behaviors early, such as getting up from the bed, sitting on the bed edge or getting up from a chair. This allows caregivers to intervene before an accident occurs. This significantly reduces the overall number of falls.  <\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-nftw690-1\" class=\"tb_title_accordion\" aria-controls=\"acc-nftw690-1-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\" xlink:href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\" xlink:href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">Do Kepler Night Nurse and Kepler NurseAssist help increase residents' dignity and independence?<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-nftw690-1-content\" data-id=\"acc-nftw690-1\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_577f690\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_v1om690 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_c8li690   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p class=\"p1\">Yes. Anonymized digital supervision allows residents to maintain their independence while alerting caregivers immediately when help is needed. <\/p><p class=\"p1\">\n\n\n\n\n\n\n\n\n<\/p><p class=\"p1\">Without this software, staff often have to come in several times a night to check if the resident is okay. This is less privacy friendly and can wake residents up. In addition, without automatic detection, it can take hours to find a resident in distress.  <\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-nftw690-2\" class=\"tb_title_accordion\" aria-controls=\"acc-nftw690-2-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\" xlink:href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\" xlink:href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">How do Kepler Night Nurse and Kepler NurseAssist improve safety in dementia care?<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-nftw690-2-content\" data-id=\"acc-nftw690-2\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_k23b690\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_4ccn690 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_cz7v690   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p class=\"p1\">\n\n\n\n\n\n\n\n<\/p><p class=\"p1\">The systems detect wandering, abnormal behavior and falls in residents with dementia and immediately send notifications to staff members. This ensures safety without compromising privacy. <\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-nftw690-3\" class=\"tb_title_accordion\" aria-controls=\"acc-nftw690-3-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\" xlink:href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\" xlink:href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">What are the benefits for hospital departments with limited staff?<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-nftw690-3-content\" data-id=\"acc-nftw690-3\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_a1cx690\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_kbjy690 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_qzs2690   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p class=\"p1\">\n\n\n\n\n\n\n\n<\/p><p class=\"p1\">The software provides passive, always-active monitoring, reducing the need for physical observation. Staff can respond more quickly to incidents, increasing patient safety and reducing workload. <\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n        <\/ul>\n\n<\/div><!-- \/module accordion -->        <\/div>\n                    <\/div>\n                <\/div>\n            <div data-id=\"tab-tb_9xiw078-2\" class=\"tab-content tf_clear wow\" aria-hidden=\"true\">\n                    <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_k92b323\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_bidl323 first\">\n                    <!-- module accordion -->\n<div  class=\"module module-accordion tb_5xtf323 \" data-behavior=\"toggle\" data-lazy=\"1\">\n    <h3 class=\"module-title\">Personnel & Operations<\/h3>\n    <ul class=\"ui module-accordion separate  transparent\">\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-5xtf323-0\" class=\"tb_title_accordion\" aria-controls=\"acc-5xtf323-0-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\" xlink:href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\" xlink:href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">How do Kepler Night Nurse and Kepler NurseAssist help optimize staffing in healthcare facilities?<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-5xtf323-0-content\" data-id=\"acc-5xtf323-0\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_5qgx323\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_guz4323 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_oihe323   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p class=\"p1\">\n\n\n\n\n\n\n\n<\/p><p class=\"p1\">By automating supervision and alerting employees only when intervention is needed, caregivers can spend more time on direct care.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-5xtf323-1\" class=\"tb_title_accordion\" aria-controls=\"acc-5xtf323-1-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\" xlink:href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\" xlink:href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">In what ways do Kepler Night Nurse and Kepler NurseAssist improve the efficiency of care teams?<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-5xtf323-1-content\" data-id=\"acc-5xtf323-1\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_cark323\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_qkx8323 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_tjls323   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p class=\"p1\">\n\n\n\n\n\n\n\n<\/p><p class=\"p1\">With real-time notifications and fewer manual checks, employees walk to rooms less frequently and can focus on meaningful care tasks. This reduces stress and improves quality of care. <\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-5xtf323-2\" class=\"tb_title_accordion\" aria-controls=\"acc-5xtf323-2-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\" xlink:href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\" xlink:href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">How does Kepler Night Nurse and Kepler NurseAssist help reduce workload?<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-5xtf323-2-content\" data-id=\"acc-5xtf323-2\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_kmjl323\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_2fnl323 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_q8n2323   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p class=\"p1\">\n\n\n\n\n\n\n\n<\/p><p class=\"p1\">\n\n\n\n\n\n\n\n<\/p><p class=\"p1\">Automated monitoring reduces routine observation tasks, allowing staff to focus on higher-risk situations.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n        <\/ul>\n\n<\/div><!-- \/module accordion -->        <\/div>\n                    <\/div>\n                <\/div>\n            <div data-id=\"tab-tb_9xiw078-3\" class=\"tab-content tf_clear wow\" aria-hidden=\"true\">\n                    <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_l9lj349\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_pvs2349 first\">\n                    <!-- module accordion -->\n<div  class=\"module module-accordion tb_pxyh349 \" data-behavior=\"toggle\" data-lazy=\"1\">\n    <h3 class=\"module-title\">Privacy, Security & Ethics<\/h3>\n    <ul class=\"ui module-accordion separate  transparent\">\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-pxyh349-0\" class=\"tb_title_accordion\" aria-controls=\"acc-pxyh349-0-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\" xlink:href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\" xlink:href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">How do Kepler Night Nurse and Kepler NurseAssist ensure resident safety while maintaining privacy?<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-pxyh349-0-content\" data-id=\"acc-pxyh349-0\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_6bb3349\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_3x8w349 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_po19349   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p class=\"p1\"><span style=\"background-color: initial; color: inherit;\">All monitoring is anonymized and processed locally. Kepler Night Nurse and Kepler Nurse Assist thus ensure residents\u2019 dignity, privacy and independence, while only sending a notification when help is actually needed.<br><\/span><br><a href=\"https:\/\/keplervision.eu\/whitepaper-privacy\/\" style=\"background-color: initial;\">Read more about privacy<\/a><\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-pxyh349-1\" class=\"tb_title_accordion\" aria-controls=\"acc-pxyh349-1-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\" xlink:href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\" xlink:href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">Is the training data demographically representative of different ethnic backgrounds and age groups?<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-pxyh349-1-content\" data-id=\"acc-pxyh349-1\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_c6wn349\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_crai349 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_f8iq349   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p class=\"p1\">&nbsp;<span style=\"background-color: initial; font-size: 1em;\">We do not collect or record ethnicity or age in the training data, so we cannot provide information on demographic composition. <\/span><span style=\"background-color: initial; font-size: 1em;\">However, we have tested extensively with various ethnic backgrounds and age groups, and the results show consistent performance without discrimination.  <\/span><span style=\"background-color: initial; font-size: 1em;\">An independent audit concluded:<\/span><\/p>\n<p class=\"p1\"><i>&#8220;The tests showed that the AI&#8217;s decisions were free of significant biases, confirming the suitability of the model for diverse and inclusive healthcare environments.&#8221;<br><br><\/i><a href=\"https:\/\/code4thought.eu\/case-studies-ai\/ai-bias-audit-for-keplers-night-nurse-solution\/\"><u>Read the report here<\/u><\/a><\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-pxyh349-2\" class=\"tb_title_accordion\" aria-controls=\"acc-pxyh349-2-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\" xlink:href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\" xlink:href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">What measures does Kepler Vision Technologies take to ensure fairness and prevent bias?<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-pxyh349-2-content\" data-id=\"acc-pxyh349-2\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_5zrz349\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_tb0r349 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_5okt349   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p class=\"p1\">\n\n\n\n\n\n\n\n<\/p><p class=\"p1\">\n\n\n\n\n\n\n\n<\/p><p class=\"p1\">Although we do not track demographics in the training data, we actively test for fairness and potential biases. Our test sets include a wide range of demographic scenarios. &nbsp;<span style=\"background-color: initial; font-size: 1em;\">These tests confirm that the software performs consistently and does not exhibit discriminatory behavior.<\/span><\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-pxyh349-3\" class=\"tb_title_accordion\" aria-controls=\"acc-pxyh349-3-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\" xlink:href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\" xlink:href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">Is there documentation available on the demographic composition of the training data?<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-pxyh349-3-content\" data-id=\"acc-pxyh349-3\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_fqzk349\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_6bus349 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_dd6n349   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        \n\n\n\n\n\n\n\n<p class=\"p1\">No. Because we do not collect demographic data and faces are anonymized in the training data, auditing of demographic compositions is not possible. &nbsp;<span style=\"background-color: initial; font-size: 1em;\">However, extensive documentation is available on the tests conducted with a variety of demographic scenarios.<\/span><\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-pxyh349-4\" class=\"tb_title_accordion\" aria-controls=\"acc-pxyh349-4-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\" xlink:href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\" xlink:href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">What are the demographics of the test data, and does effectiveness differ between groups? What measures were taken to avoid bias? <\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-pxyh349-4-content\" data-id=\"acc-pxyh349-4\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_o7gp349\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_iztg349 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_cnhl349   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        We do not track demographic characteristics in the training data, but we do actively test our software for fairness and potential bias. Our test samples represent a wide range of demographic scenarios, including different ethnic backgrounds and age groups. These tests have confirmed that the software performs consistently across all groups and does not exhibit discriminatory behavior.      <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-pxyh349-5\" class=\"tb_title_accordion\" aria-controls=\"acc-pxyh349-5-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\" xlink:href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\" xlink:href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">What mechanisms exist to feedback performance issues or negative outcomes? And how is this managed? <\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-pxyh349-5-content\" data-id=\"acc-pxyh349-5\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_bu2v349\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_0qy6349 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_q1dc349   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p class=\"p1\">For Kepler Night Nurse (server application):<\/p><p class=\"p2\">Kepler Vision Technologies allows specific alarms to be reported (provided the data is stored). This provides a structured way to provide feedback. <\/p><p class=\"p1\">For Kepler NurseAssist (embedded application):<\/p><p class=\"p1\"><\/p><p class=\"p2\">Responsibility for this lies with Mobotix.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n        <\/ul>\n\n<\/div><!-- \/module accordion -->        <\/div>\n                    <\/div>\n                <\/div>\n    <\/div>\n<!-- \/module tab -->\n        <\/div>\n                        <\/div>\n        <\/div>\n        <\/div>\n<!--\/themify_builder_content-->","protected":false},"excerpt":{"rendered":"<p>Frequently Asked Questions<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_improvement_type_select":"improve_an_existing","_thumb_yes_seoaic":false,"_frame_yes_seoaic":false,"seoaic_generate_description":"","seoaic_improve_instructions_prompt":"","seoaic_rollback_content_improvement":"","seoaic_idea_thumbnail_generator":"","thumbnail_generated":false,"thumbnail_generate_prompt":"","seoaic_article_description":"","footnotes":""},"class_list":["post-31604","page","type-page","status-publish","hentry","has-post-title","has-post-date","has-post-category","has-post-tag","has-post-comment","has-post-author",""],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Kepler Frequently Asked Questions | Kepler Vision Technologies<\/title>\n<meta name=\"description\" content=\"Kepler Vision Technologies develops innovative software that alerts nurses when the client needs care. Find out how it can help you!\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/keplervision.eu\/en\/frequently-asked-questions\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Kepler Frequently Asked Questions | Kepler Vision Technologies\" \/>\n<meta property=\"og:description\" content=\"Kepler Vision Technologies develops innovative software that alerts nurses when the client needs care. Find out how it can help you!\" \/>\n<meta property=\"og:url\" content=\"https:\/\/keplervision.eu\/en\/frequently-asked-questions\/\" \/>\n<meta property=\"og:site_name\" content=\"Kepler Vision Technologies\" \/>\n<meta property=\"article:modified_time\" content=\"2025-12-09T14:22:02+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"32 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/keplervision.eu\\\/en\\\/frequently-asked-questions\\\/\",\"url\":\"https:\\\/\\\/keplervision.eu\\\/en\\\/frequently-asked-questions\\\/\",\"name\":\"Kepler Frequently Asked Questions | Kepler Vision Technologies\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/keplervision.eu\\\/en\\\/#website\"},\"datePublished\":\"2025-12-09T11:05:14+00:00\",\"dateModified\":\"2025-12-09T14:22:02+00:00\",\"description\":\"Kepler Vision Technologies develops innovative software that alerts nurses when the client needs care. Find out how it can help you!\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/keplervision.eu\\\/en\\\/frequently-asked-questions\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/keplervision.eu\\\/en\\\/frequently-asked-questions\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/keplervision.eu\\\/en\\\/frequently-asked-questions\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/keplervision.eu\\\/en\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Kepler Frequently Asked Questions\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/keplervision.eu\\\/en\\\/#website\",\"url\":\"https:\\\/\\\/keplervision.eu\\\/en\\\/\",\"name\":\"Kepler Vision Technologies\",\"description\":\"TRUSTED, PROVEN TECHNOLOGIES SECURING CARE AVAILABILITY\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/keplervision.eu\\\/en\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Kepler Frequently Asked Questions | Kepler Vision Technologies","description":"Kepler Vision Technologies develops innovative software that alerts nurses when the client needs care. Find out how it can help you!","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/keplervision.eu\/en\/frequently-asked-questions\/","og_locale":"en_US","og_type":"article","og_title":"Kepler Frequently Asked Questions | Kepler Vision Technologies","og_description":"Kepler Vision Technologies develops innovative software that alerts nurses when the client needs care. Find out how it can help you!","og_url":"https:\/\/keplervision.eu\/en\/frequently-asked-questions\/","og_site_name":"Kepler Vision Technologies","article_modified_time":"2025-12-09T14:22:02+00:00","twitter_card":"summary_large_image","twitter_misc":{"Est. reading time":"32 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/keplervision.eu\/en\/frequently-asked-questions\/","url":"https:\/\/keplervision.eu\/en\/frequently-asked-questions\/","name":"Kepler Frequently Asked Questions | Kepler Vision Technologies","isPartOf":{"@id":"https:\/\/keplervision.eu\/en\/#website"},"datePublished":"2025-12-09T11:05:14+00:00","dateModified":"2025-12-09T14:22:02+00:00","description":"Kepler Vision Technologies develops innovative software that alerts nurses when the client needs care. Find out how it can help you!","breadcrumb":{"@id":"https:\/\/keplervision.eu\/en\/frequently-asked-questions\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/keplervision.eu\/en\/frequently-asked-questions\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/keplervision.eu\/en\/frequently-asked-questions\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/keplervision.eu\/en\/"},{"@type":"ListItem","position":2,"name":"Kepler Frequently Asked Questions"}]},{"@type":"WebSite","@id":"https:\/\/keplervision.eu\/en\/#website","url":"https:\/\/keplervision.eu\/en\/","name":"Kepler Vision Technologies","description":"TRUSTED, PROVEN TECHNOLOGIES SECURING CARE AVAILABILITY","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/keplervision.eu\/en\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"}]}},"builder_content":"<h2 style=\"text-align: center;\">Frequently Asked Questions<\/h2>\n<h2 style=\"text-align: left;\">Frequently Asked Question<\/h2>\n<ul><li><h4>Product &amp; Technology<\/h4><h3>Product & Technology<\/h3><ul><li><h4>How do Kepler Night Nurse and Kepler NurseAssist detect falls in real time and help reduce them?<\/h4>Kepler Night Nurse and Kepler Nurse Assist use anonymized computer vision technology and AI-powered sensors that monitor residents 24\/7. When a fall is detected, caregivers receive immediate notification, which helps reduce injuries and improve response time. <br><a href=\"https:\/\/keplervision.eu\/four-ways-to-improve-the-response-time-to-falls-in-care-facilities\/\">Read more about response times here<\/a><\/li><li><h4>Why is Kepler Vision's fall detection system more reliable than wearables?<\/h4><p>Unlike wearables, residents where Kepler Night Nurse and Kepler NurseAssist are used do not have to wear anything. They don't have to remember to put a device on or charge it. Our always-active AI sensors monitor continuously, reliably and immediately detecting every fall. <br><br><a href=\"https:\/\/keplervision.eu\/en\/customer-reviews\/\" style=\"text-decoration-line: underline;\">Read our customer reviews here<\/a><\/p><\/li><li><h4>How do Kepler Night Nurse and Kepler NurseAssist support fall prevention before incidents happen?<\/h4><p>The system recognizes early risk indicators, such as sitting at the edge of the bed, getting out of bed or getting up in bed. Caregivers are proactively alerted so that preventive measures can be taken.<br><br>Read more about <a href=\"https:\/\/keplervision.eu\/en\/night-nurse\/\" style=\"text-decoration-line: underline;\">Kepler Night Nurse<\/a> and <a href=\"https:\/\/keplervision.eu\/en\/kepler-nurse-assist\/\" style=\"text-decoration-line: underline;\">Kepler NurseAssist<\/a> here.<\/p><\/li><li><h4>Are Kepler Night Nurse and Kepler NurseAssist really always active, even at night?<\/h4><p>Yes. Daylight is used during the day, and infrared light is used at night to provide 24\/7 monitoring. Thus, residents are always safely monitored without disturbing their sleep. <\/p> <p><a href=\"https:\/\/keplervision.eu\/en\/kepler-nurse-assist\/\" style=\"text-decoration-line: underline;\">Kepler NurseAssist<\/a> always operates on cameras equipped with infrared light.<\/p><\/li><li><h4>What is anonymized digital supervision and how does it protect residents' privacy?<\/h4><p>The software processes video footage locally and converts it into anonymized data where faces are automatically blurred. The analysis focuses only on body movement, not identity. This ensures dignity, privacy and regulatory compliance. <\/p><\/li><li><h4>How do Kepler Night Nurse and Kepler NurseAssist provide real-time notifications for falls or abnormal behavior?<\/h4><p>When the AI detects a fall or unusual activity, notifications are immediately sent via the <a href=\"https:\/\/keplervision.eu\/en\/partner-page\/#tab-tb_0xge22-1\" style=\"text-decoration-line: underline;\">nurse call system<\/a> to employees' mobile devices. This speeds up care and improves safety. <\/p><\/li><li><h4>What is the difference between an AI camera and a regular security camera?<\/h4><p>An AI camera processes video images directly on the device itself so that human activities and risk situations are recognized locally. With an ordinary camera, this processing often does not occur or must occur externally (e.g., in the cloud or on a server). &nbsp;The advantage of AI cameras is that video footage does not have to leave the camera, offering a significant privacy benefit.<\/p><\/li><li><h4>What are the numbers on the accuracy of the system? How often does it give a false report (false positive) and how often does it miss a report (false negative)? <\/h4><p>For Kepler Night Nurse (server application):<\/p> <p>For man-down alarms, Kepler Vision receives on average one missed man-down per month. Approximately ten false-positive man-down reports reported.<\/p> <p>For Kepler NurseAssist (embedded application):<\/p> <p> <\/p> <p>The software running on the camera uses the same underlying models. Therefore, the performance statistics should be similar. <\/p><\/li><li><h4>How does the system determine that a notification should be sent? What is the model logic? <\/h4><p> <\/p><p>Users can customize any type of notification or alarm. Users select which notifications they want to receive. <\/p><\/li><li><h4>Are there scenarios or environments in which the system performs less effectively? What are the \"ideal\" conditions to achieve the highest effectiveness? <\/h4><p> <\/p><p> <\/p><p>The ideal environments are elder care facilities, mental health facilities and hospitals that use a nurse call system (Nurse Call System). It is ideal when the nursing staff has basic knowledge of how a call system works, combined with training on how notifications are generated. <\/p><\/li><li><h4>How are improvement opportunities identified, and what happens when performance declines? Is performance likely to decline over time, or will it remain consistent? <\/h4><p> <\/p><p> <\/p><p> <\/p><p>Performance typically improves during the implementation phase and then increases further when software updates are installed.<\/p><\/li><\/ul> Kepler Night Nurse and Kepler Nurse Assist use anonymized computer vision technology and AI-powered sensors that monitor residents 24\/7. When a fall is detected, caregivers receive immediate notification, which helps reduce injuries and improve response time. <br><a href=\"https:\/\/keplervision.eu\/four-ways-to-improve-the-response-time-to-falls-in-care-facilities\/\">Read more about response times here<\/a> <p>Unlike wearables, residents where Kepler Night Nurse and Kepler NurseAssist are used do not have to wear anything. They don't have to remember to put a device on or charge it. Our always-active AI sensors monitor continuously, reliably and immediately detecting every fall. <br><br><a href=\"https:\/\/keplervision.eu\/en\/customer-reviews\/\" style=\"text-decoration-line: underline;\">Read our customer reviews here<\/a><\/p> <p>The system recognizes early risk indicators, such as sitting at the edge of the bed, getting out of bed or getting up in bed. Caregivers are proactively alerted so that preventive measures can be taken.<br><br>Read more about <a href=\"https:\/\/keplervision.eu\/en\/night-nurse\/\" style=\"text-decoration-line: underline;\">Kepler Night Nurse<\/a> and <a href=\"https:\/\/keplervision.eu\/en\/kepler-nurse-assist\/\" style=\"text-decoration-line: underline;\">Kepler NurseAssist<\/a> here.<\/p> <p>Yes. Daylight is used during the day, and infrared light is used at night to provide 24\/7 monitoring. Thus, residents are always safely monitored without disturbing their sleep. <\/p> <p><a href=\"https:\/\/keplervision.eu\/en\/kepler-nurse-assist\/\" style=\"text-decoration-line: underline;\">Kepler NurseAssist<\/a> always operates on cameras equipped with infrared light.<\/p> <p>The software processes video footage locally and converts it into anonymized data where faces are automatically blurred. The analysis focuses only on body movement, not identity. This ensures dignity, privacy and regulatory compliance. <\/p> <p>When the AI detects a fall or unusual activity, notifications are immediately sent via the <a href=\"https:\/\/keplervision.eu\/en\/partner-page\/#tab-tb_0xge22-1\" style=\"text-decoration-line: underline;\">nurse call system<\/a> to employees' mobile devices. This speeds up care and improves safety. <\/p> <p>An AI camera processes video images directly on the device itself so that human activities and risk situations are recognized locally. With an ordinary camera, this processing often does not occur or must occur externally (e.g., in the cloud or on a server). &nbsp;The advantage of AI cameras is that video footage does not have to leave the camera, offering a significant privacy benefit.<\/p> <p>For Kepler Night Nurse (server application):<\/p> <p>For man-down alarms, Kepler Vision receives on average one missed man-down per month. Approximately ten false-positive man-down reports reported.<\/p> <p>For Kepler NurseAssist (embedded application):<\/p> <p> <\/p> <p>The software running on the camera uses the same underlying models. Therefore, the performance statistics should be similar. <\/p> <p> <\/p><p>Users can customize any type of notification or alarm. Users select which notifications they want to receive. <\/p> <p> <\/p><p> <\/p><p>The ideal environments are elder care facilities, mental health facilities and hospitals that use a nurse call system (Nurse Call System). It is ideal when the nursing staff has basic knowledge of how a call system works, combined with training on how notifications are generated. <\/p> <p> <\/p><p> <\/p><p> <\/p><p>Performance typically improves during the implementation phase and then increases further when software updates are installed.<\/p><\/li><li><h4>Elderly Care<\/h4><h3>Elderly Care and Living Environments<\/h3><ul><li><h4>How do Kepler Night Nurse and Kepler NurseAssist reduce fall risk for the elderly?<\/h4><p>By continuously monitoring residents, the systems recognize risky behaviors early, such as getting up from the bed, sitting on the bed edge or getting up from a chair. This allows caregivers to intervene before an accident occurs. This significantly reduces the overall number of falls. <\/p><\/li><li><h4>Do Kepler Night Nurse and Kepler NurseAssist help increase residents' dignity and independence?<\/h4><p>Yes. Anonymized digital supervision allows residents to maintain their independence while alerting caregivers immediately when help is needed. <\/p><p> <\/p><p>Without this software, staff often have to come in several times a night to check if the resident is okay. This is less privacy friendly and can wake residents up. In addition, without automatic detection, it can take hours to find a resident in distress. <\/p><\/li><li><h4>How do Kepler Night Nurse and Kepler NurseAssist improve safety in dementia care?<\/h4><p> <\/p><p>The systems detect wandering, abnormal behavior and falls in residents with dementia and immediately send notifications to staff members. This ensures safety without compromising privacy. <\/p><\/li><li><h4>What are the benefits for hospital departments with limited staff?<\/h4><p> <\/p><p>The software provides passive, always-active monitoring, reducing the need for physical observation. Staff can respond more quickly to incidents, increasing patient safety and reducing workload. <\/p><\/li><\/ul> <p>By continuously monitoring residents, the systems recognize risky behaviors early, such as getting up from the bed, sitting on the bed edge or getting up from a chair. This allows caregivers to intervene before an accident occurs. This significantly reduces the overall number of falls. <\/p> <p>Yes. Anonymized digital supervision allows residents to maintain their independence while alerting caregivers immediately when help is needed. <\/p><p> <\/p><p>Without this software, staff often have to come in several times a night to check if the resident is okay. This is less privacy friendly and can wake residents up. In addition, without automatic detection, it can take hours to find a resident in distress. <\/p> <p> <\/p><p>The systems detect wandering, abnormal behavior and falls in residents with dementia and immediately send notifications to staff members. This ensures safety without compromising privacy. <\/p> <p> <\/p><p>The software provides passive, always-active monitoring, reducing the need for physical observation. Staff can respond more quickly to incidents, increasing patient safety and reducing workload. <\/p><\/li><li><h4>Personnel &amp; Operations<\/h4><h3>Personnel & Operations<\/h3><ul><li><h4>How do Kepler Night Nurse and Kepler NurseAssist help optimize staffing in healthcare facilities?<\/h4><p> <\/p><p>By automating supervision and alerting employees only when intervention is needed, caregivers can spend more time on direct care.<\/p><\/li><li><h4>In what ways do Kepler Night Nurse and Kepler NurseAssist improve the efficiency of care teams?<\/h4><p> <\/p><p>With real-time notifications and fewer manual checks, employees walk to rooms less frequently and can focus on meaningful care tasks. This reduces stress and improves quality of care. <\/p><\/li><li><h4>How does Kepler Night Nurse and Kepler NurseAssist help reduce workload?<\/h4><p> <\/p><p> <\/p><p>Automated monitoring reduces routine observation tasks, allowing staff to focus on higher-risk situations.<\/p><\/li><\/ul> <p> <\/p><p>By automating supervision and alerting employees only when intervention is needed, caregivers can spend more time on direct care.<\/p> <p> <\/p><p>With real-time notifications and fewer manual checks, employees walk to rooms less frequently and can focus on meaningful care tasks. This reduces stress and improves quality of care. <\/p> <p> <\/p><p> <\/p><p>Automated monitoring reduces routine observation tasks, allowing staff to focus on higher-risk situations.<\/p><\/li><li><h4>Privacy, Security &amp; Ethics<\/h4><h3>Privacy, Security & Ethics<\/h3><ul><li><h4>How do Kepler Night Nurse and Kepler NurseAssist ensure resident safety while maintaining privacy?<\/h4><p>All monitoring is anonymized and processed locally. Kepler Night Nurse and Kepler Nurse Assist thus ensure residents\u2019 dignity, privacy and independence, while only sending a notification when help is actually needed.<br><br><a href=\"https:\/\/keplervision.eu\/whitepaper-privacy\/\" style=\"background-color: initial;\">Read more about privacy<\/a><\/p><\/li><li><h4>Is the training data demographically representative of different ethnic backgrounds and age groups?<\/h4><p>&nbsp;We do not collect or record ethnicity or age in the training data, so we cannot provide information on demographic composition. However, we have tested extensively with various ethnic backgrounds and age groups, and the results show consistent performance without discrimination. An independent audit concluded:<\/p> <p><i>\"The tests showed that the AI's decisions were free of significant biases, confirming the suitability of the model for diverse and inclusive healthcare environments.\"<br><br><\/i><a href=\"https:\/\/code4thought.eu\/case-studies-ai\/ai-bias-audit-for-keplers-night-nurse-solution\/\"><u>Read the report here<\/u><\/a><\/p><\/li><li><h4>What measures does Kepler Vision Technologies take to ensure fairness and prevent bias?<\/h4><p> <\/p><p> <\/p><p>Although we do not track demographics in the training data, we actively test for fairness and potential biases. Our test sets include a wide range of demographic scenarios. &nbsp;These tests confirm that the software performs consistently and does not exhibit discriminatory behavior.<\/p><\/li><li><h4>Is there documentation available on the demographic composition of the training data?<\/h4><p>No. Because we do not collect demographic data and faces are anonymized in the training data, auditing of demographic compositions is not possible. &nbsp;However, extensive documentation is available on the tests conducted with a variety of demographic scenarios.<\/p><\/li><li><h4>What are the demographics of the test data, and does effectiveness differ between groups? What measures were taken to avoid bias? <\/h4>We do not track demographic characteristics in the training data, but we do actively test our software for fairness and potential bias. Our test samples represent a wide range of demographic scenarios, including different ethnic backgrounds and age groups. These tests have confirmed that the software performs consistently across all groups and does not exhibit discriminatory behavior.<\/li><li><h4>What mechanisms exist to feedback performance issues or negative outcomes? And how is this managed? <\/h4><p>For Kepler Night Nurse (server application):<\/p><p>Kepler Vision Technologies allows specific alarms to be reported (provided the data is stored). This provides a structured way to provide feedback. <\/p><p>For Kepler NurseAssist (embedded application):<\/p><p><\/p><p>Responsibility for this lies with Mobotix.<\/p><\/li><\/ul> <p>All monitoring is anonymized and processed locally. Kepler Night Nurse and Kepler Nurse Assist thus ensure residents\u2019 dignity, privacy and independence, while only sending a notification when help is actually needed.<br><br><a href=\"https:\/\/keplervision.eu\/whitepaper-privacy\/\" style=\"background-color: initial;\">Read more about privacy<\/a><\/p> <p>&nbsp;We do not collect or record ethnicity or age in the training data, so we cannot provide information on demographic composition. However, we have tested extensively with various ethnic backgrounds and age groups, and the results show consistent performance without discrimination. An independent audit concluded:<\/p> <p><i>\"The tests showed that the AI's decisions were free of significant biases, confirming the suitability of the model for diverse and inclusive healthcare environments.\"<br><br><\/i><a href=\"https:\/\/code4thought.eu\/case-studies-ai\/ai-bias-audit-for-keplers-night-nurse-solution\/\"><u>Read the report here<\/u><\/a><\/p> <p> <\/p><p> <\/p><p>Although we do not track demographics in the training data, we actively test for fairness and potential biases. Our test sets include a wide range of demographic scenarios. &nbsp;These tests confirm that the software performs consistently and does not exhibit discriminatory behavior.<\/p> <p>No. Because we do not collect demographic data and faces are anonymized in the training data, auditing of demographic compositions is not possible. &nbsp;However, extensive documentation is available on the tests conducted with a variety of demographic scenarios.<\/p> We do not track demographic characteristics in the training data, but we do actively test our software for fairness and potential bias. Our test samples represent a wide range of demographic scenarios, including different ethnic backgrounds and age groups. These tests have confirmed that the software performs consistently across all groups and does not exhibit discriminatory behavior. <p>For Kepler Night Nurse (server application):<\/p><p>Kepler Vision Technologies allows specific alarms to be reported (provided the data is stored). This provides a structured way to provide feedback. <\/p><p>For Kepler NurseAssist (embedded application):<\/p><p><\/p><p>Responsibility for this lies with Mobotix.<\/p><\/li><\/ul>\n<h3>Product & Technology<\/h3><ul><li><h4>How do Kepler Night Nurse and Kepler NurseAssist detect falls in real time and help reduce them?<\/h4>Kepler Night Nurse and Kepler Nurse Assist use anonymized computer vision technology and AI-powered sensors that monitor residents 24\/7. When a fall is detected, caregivers receive immediate notification, which helps reduce injuries and improve response time. <br><a href=\"https:\/\/keplervision.eu\/four-ways-to-improve-the-response-time-to-falls-in-care-facilities\/\">Read more about response times here<\/a><\/li><li><h4>Why is Kepler Vision's fall detection system more reliable than wearables?<\/h4><p>Unlike wearables, residents where Kepler Night Nurse and Kepler NurseAssist are used do not have to wear anything. They don't have to remember to put a device on or charge it. Our always-active AI sensors monitor continuously, reliably and immediately detecting every fall. <br><br><a href=\"https:\/\/keplervision.eu\/en\/customer-reviews\/\" style=\"text-decoration-line: underline;\">Read our customer reviews here<\/a><\/p><\/li><li><h4>How do Kepler Night Nurse and Kepler NurseAssist support fall prevention before incidents happen?<\/h4><p>The system recognizes early risk indicators, such as sitting at the edge of the bed, getting out of bed or getting up in bed. Caregivers are proactively alerted so that preventive measures can be taken.<br><br>Read more about <a href=\"https:\/\/keplervision.eu\/en\/night-nurse\/\" style=\"text-decoration-line: underline;\">Kepler Night Nurse<\/a> and <a href=\"https:\/\/keplervision.eu\/en\/kepler-nurse-assist\/\" style=\"text-decoration-line: underline;\">Kepler NurseAssist<\/a> here.<\/p><\/li><li><h4>Are Kepler Night Nurse and Kepler NurseAssist really always active, even at night?<\/h4><p>Yes. Daylight is used during the day, and infrared light is used at night to provide 24\/7 monitoring. Thus, residents are always safely monitored without disturbing their sleep. <\/p> <p><a href=\"https:\/\/keplervision.eu\/en\/kepler-nurse-assist\/\" style=\"text-decoration-line: underline;\">Kepler NurseAssist<\/a> always operates on cameras equipped with infrared light.<\/p><\/li><li><h4>What is anonymized digital supervision and how does it protect residents' privacy?<\/h4><p>The software processes video footage locally and converts it into anonymized data where faces are automatically blurred. The analysis focuses only on body movement, not identity. This ensures dignity, privacy and regulatory compliance. <\/p><\/li><li><h4>How do Kepler Night Nurse and Kepler NurseAssist provide real-time notifications for falls or abnormal behavior?<\/h4><p>When the AI detects a fall or unusual activity, notifications are immediately sent via the <a href=\"https:\/\/keplervision.eu\/en\/partner-page\/#tab-tb_0xge22-1\" style=\"text-decoration-line: underline;\">nurse call system<\/a> to employees' mobile devices. This speeds up care and improves safety. <\/p><\/li><li><h4>What is the difference between an AI camera and a regular security camera?<\/h4><p>An AI camera processes video images directly on the device itself so that human activities and risk situations are recognized locally. With an ordinary camera, this processing often does not occur or must occur externally (e.g., in the cloud or on a server). &nbsp;The advantage of AI cameras is that video footage does not have to leave the camera, offering a significant privacy benefit.<\/p><\/li><li><h4>What are the numbers on the accuracy of the system? How often does it give a false report (false positive) and how often does it miss a report (false negative)? <\/h4><p>For Kepler Night Nurse (server application):<\/p> <p>For man-down alarms, Kepler Vision receives on average one missed man-down per month. Approximately ten false-positive man-down reports reported.<\/p> <p>For Kepler NurseAssist (embedded application):<\/p> <p> <\/p> <p>The software running on the camera uses the same underlying models. Therefore, the performance statistics should be similar. <\/p><\/li><li><h4>How does the system determine that a notification should be sent? What is the model logic? <\/h4><p> <\/p><p>Users can customize any type of notification or alarm. Users select which notifications they want to receive. <\/p><\/li><li><h4>Are there scenarios or environments in which the system performs less effectively? What are the \"ideal\" conditions to achieve the highest effectiveness? <\/h4><p> <\/p><p> <\/p><p>The ideal environments are elder care facilities, mental health facilities and hospitals that use a nurse call system (Nurse Call System). It is ideal when the nursing staff has basic knowledge of how a call system works, combined with training on how notifications are generated. <\/p><\/li><li><h4>How are improvement opportunities identified, and what happens when performance declines? Is performance likely to decline over time, or will it remain consistent? <\/h4><p> <\/p><p> <\/p><p> <\/p><p>Performance typically improves during the implementation phase and then increases further when software updates are installed.<\/p><\/li><\/ul>\nKepler Night Nurse and Kepler Nurse Assist use anonymized computer vision technology and AI-powered sensors that monitor residents 24\/7. When a fall is detected, caregivers receive immediate notification, which helps reduce injuries and improve response time. <br><a href=\"https:\/\/keplervision.eu\/four-ways-to-improve-the-response-time-to-falls-in-care-facilities\/\">Read more about response times here<\/a>\n<p>Unlike wearables, residents where Kepler Night Nurse and Kepler NurseAssist are used do not have to wear anything. They don't have to remember to put a device on or charge it. Our always-active AI sensors monitor continuously, reliably and immediately detecting every fall. <br><br><a href=\"https:\/\/keplervision.eu\/en\/customer-reviews\/\" style=\"text-decoration-line: underline;\">Read our customer reviews here<\/a><\/p>\n<p>The system recognizes early risk indicators, such as sitting at the edge of the bed, getting out of bed or getting up in bed. Caregivers are proactively alerted so that preventive measures can be taken.<br><br>Read more about <a href=\"https:\/\/keplervision.eu\/en\/night-nurse\/\" style=\"text-decoration-line: underline;\">Kepler Night Nurse<\/a> and <a href=\"https:\/\/keplervision.eu\/en\/kepler-nurse-assist\/\" style=\"text-decoration-line: underline;\">Kepler NurseAssist<\/a> here.<\/p>\n<p>Yes. Daylight is used during the day, and infrared light is used at night to provide 24\/7 monitoring. Thus, residents are always safely monitored without disturbing their sleep. <\/p> <p><a href=\"https:\/\/keplervision.eu\/en\/kepler-nurse-assist\/\" style=\"text-decoration-line: underline;\">Kepler NurseAssist<\/a> always operates on cameras equipped with infrared light.<\/p>\n<p>The software processes video footage locally and converts it into anonymized data where faces are automatically blurred. The analysis focuses only on body movement, not identity. This ensures dignity, privacy and regulatory compliance. <\/p>\n<p>When the AI detects a fall or unusual activity, notifications are immediately sent via the <a href=\"https:\/\/keplervision.eu\/en\/partner-page\/#tab-tb_0xge22-1\" style=\"text-decoration-line: underline;\">nurse call system<\/a> to employees' mobile devices. This speeds up care and improves safety. <\/p>\n<p>An AI camera processes video images directly on the device itself so that human activities and risk situations are recognized locally. With an ordinary camera, this processing often does not occur or must occur externally (e.g., in the cloud or on a server). &nbsp;The advantage of AI cameras is that video footage does not have to leave the camera, offering a significant privacy benefit.<\/p>\n<p>For Kepler Night Nurse (server application):<\/p> <p>For man-down alarms, Kepler Vision receives on average one missed man-down per month. Approximately ten false-positive man-down reports reported.<\/p> <p>For Kepler NurseAssist (embedded application):<\/p> <p> <\/p> <p>The software running on the camera uses the same underlying models. Therefore, the performance statistics should be similar. <\/p>\n<p>\n<\/p><p>Users can customize any type of notification or alarm. Users select which notifications they want to receive. <\/p>\n<p>\n<\/p><p>\n<\/p><p>The ideal environments are elder care facilities, mental health facilities and hospitals that use a nurse call system (Nurse Call System). It is ideal when the nursing staff has basic knowledge of how a call system works, combined with training on how notifications are generated. <\/p>\n<p>\n<\/p><p>\n<\/p><p>\n<\/p><p>Performance typically improves during the implementation phase and then increases further when software updates are installed.<\/p>\n<h3>Elderly Care and Living Environments<\/h3><ul><li><h4>How do Kepler Night Nurse and Kepler NurseAssist reduce fall risk for the elderly?<\/h4><p>By continuously monitoring residents, the systems recognize risky behaviors early, such as getting up from the bed, sitting on the bed edge or getting up from a chair. This allows caregivers to intervene before an accident occurs. This significantly reduces the overall number of falls. <\/p><\/li><li><h4>Do Kepler Night Nurse and Kepler NurseAssist help increase residents' dignity and independence?<\/h4><p>Yes. Anonymized digital supervision allows residents to maintain their independence while alerting caregivers immediately when help is needed. <\/p><p> <\/p><p>Without this software, staff often have to come in several times a night to check if the resident is okay. This is less privacy friendly and can wake residents up. In addition, without automatic detection, it can take hours to find a resident in distress. <\/p><\/li><li><h4>How do Kepler Night Nurse and Kepler NurseAssist improve safety in dementia care?<\/h4><p> <\/p><p>The systems detect wandering, abnormal behavior and falls in residents with dementia and immediately send notifications to staff members. This ensures safety without compromising privacy. <\/p><\/li><li><h4>What are the benefits for hospital departments with limited staff?<\/h4><p> <\/p><p>The software provides passive, always-active monitoring, reducing the need for physical observation. Staff can respond more quickly to incidents, increasing patient safety and reducing workload. <\/p><\/li><\/ul>\n<p>By continuously monitoring residents, the systems recognize risky behaviors early, such as getting up from the bed, sitting on the bed edge or getting up from a chair. This allows caregivers to intervene before an accident occurs. This significantly reduces the overall number of falls. <\/p>\n<p>Yes. Anonymized digital supervision allows residents to maintain their independence while alerting caregivers immediately when help is needed. <\/p><p>\n<\/p><p>Without this software, staff often have to come in several times a night to check if the resident is okay. This is less privacy friendly and can wake residents up. In addition, without automatic detection, it can take hours to find a resident in distress. <\/p>\n<p>\n<\/p><p>The systems detect wandering, abnormal behavior and falls in residents with dementia and immediately send notifications to staff members. This ensures safety without compromising privacy. <\/p>\n<p>\n<\/p><p>The software provides passive, always-active monitoring, reducing the need for physical observation. Staff can respond more quickly to incidents, increasing patient safety and reducing workload. <\/p>\n<h3>Personnel & Operations<\/h3><ul><li><h4>How do Kepler Night Nurse and Kepler NurseAssist help optimize staffing in healthcare facilities?<\/h4><p> <\/p><p>By automating supervision and alerting employees only when intervention is needed, caregivers can spend more time on direct care.<\/p><\/li><li><h4>In what ways do Kepler Night Nurse and Kepler NurseAssist improve the efficiency of care teams?<\/h4><p> <\/p><p>With real-time notifications and fewer manual checks, employees walk to rooms less frequently and can focus on meaningful care tasks. This reduces stress and improves quality of care. <\/p><\/li><li><h4>How does Kepler Night Nurse and Kepler NurseAssist help reduce workload?<\/h4><p> <\/p><p> <\/p><p>Automated monitoring reduces routine observation tasks, allowing staff to focus on higher-risk situations.<\/p><\/li><\/ul>\n<p>\n<\/p><p>By automating supervision and alerting employees only when intervention is needed, caregivers can spend more time on direct care.<\/p>\n<p>\n<\/p><p>With real-time notifications and fewer manual checks, employees walk to rooms less frequently and can focus on meaningful care tasks. This reduces stress and improves quality of care. <\/p>\n<p>\n<\/p><p>\n<\/p><p>Automated monitoring reduces routine observation tasks, allowing staff to focus on higher-risk situations.<\/p>\n<h3>Privacy, Security & Ethics<\/h3><ul><li><h4>How do Kepler Night Nurse and Kepler NurseAssist ensure resident safety while maintaining privacy?<\/h4><p>All monitoring is anonymized and processed locally. Kepler Night Nurse and Kepler Nurse Assist thus ensure residents\u2019 dignity, privacy and independence, while only sending a notification when help is actually needed.<br><br><a href=\"https:\/\/keplervision.eu\/whitepaper-privacy\/\" style=\"background-color: initial;\">Read more about privacy<\/a><\/p><\/li><li><h4>Is the training data demographically representative of different ethnic backgrounds and age groups?<\/h4><p>&nbsp;We do not collect or record ethnicity or age in the training data, so we cannot provide information on demographic composition. However, we have tested extensively with various ethnic backgrounds and age groups, and the results show consistent performance without discrimination. An independent audit concluded:<\/p> <p><i>\"The tests showed that the AI's decisions were free of significant biases, confirming the suitability of the model for diverse and inclusive healthcare environments.\"<br><br><\/i><a href=\"https:\/\/code4thought.eu\/case-studies-ai\/ai-bias-audit-for-keplers-night-nurse-solution\/\"><u>Read the report here<\/u><\/a><\/p><\/li><li><h4>What measures does Kepler Vision Technologies take to ensure fairness and prevent bias?<\/h4><p> <\/p><p> <\/p><p>Although we do not track demographics in the training data, we actively test for fairness and potential biases. Our test sets include a wide range of demographic scenarios. &nbsp;These tests confirm that the software performs consistently and does not exhibit discriminatory behavior.<\/p><\/li><li><h4>Is there documentation available on the demographic composition of the training data?<\/h4><p>No. Because we do not collect demographic data and faces are anonymized in the training data, auditing of demographic compositions is not possible. &nbsp;However, extensive documentation is available on the tests conducted with a variety of demographic scenarios.<\/p><\/li><li><h4>What are the demographics of the test data, and does effectiveness differ between groups? What measures were taken to avoid bias? <\/h4>We do not track demographic characteristics in the training data, but we do actively test our software for fairness and potential bias. Our test samples represent a wide range of demographic scenarios, including different ethnic backgrounds and age groups. These tests have confirmed that the software performs consistently across all groups and does not exhibit discriminatory behavior.<\/li><li><h4>What mechanisms exist to feedback performance issues or negative outcomes? And how is this managed? <\/h4><p>For Kepler Night Nurse (server application):<\/p><p>Kepler Vision Technologies allows specific alarms to be reported (provided the data is stored). This provides a structured way to provide feedback. <\/p><p>For Kepler NurseAssist (embedded application):<\/p><p><\/p><p>Responsibility for this lies with Mobotix.<\/p><\/li><\/ul>\n<p>All monitoring is anonymized and processed locally. Kepler Night Nurse and Kepler Nurse Assist thus ensure residents\u2019 dignity, privacy and independence, while only sending a notification when help is actually needed.<br><br><a href=\"https:\/\/keplervision.eu\/whitepaper-privacy\/\" style=\"background-color: initial;\">Read more about privacy<\/a><\/p>\n<p>&nbsp;We do not collect or record ethnicity or age in the training data, so we cannot provide information on demographic composition. However, we have tested extensively with various ethnic backgrounds and age groups, and the results show consistent performance without discrimination. An independent audit concluded:<\/p> <p><i>\"The tests showed that the AI's decisions were free of significant biases, confirming the suitability of the model for diverse and inclusive healthcare environments.\"<br><br><\/i><a href=\"https:\/\/code4thought.eu\/case-studies-ai\/ai-bias-audit-for-keplers-night-nurse-solution\/\"><u>Read the report here<\/u><\/a><\/p>\n<p>\n<\/p><p>\n<\/p><p>Although we do not track demographics in the training data, we actively test for fairness and potential biases. Our test sets include a wide range of demographic scenarios. &nbsp;These tests confirm that the software performs consistently and does not exhibit discriminatory behavior.<\/p>\n<p>No. Because we do not collect demographic data and faces are anonymized in the training data, auditing of demographic compositions is not possible. &nbsp;However, extensive documentation is available on the tests conducted with a variety of demographic scenarios.<\/p>\nWe do not track demographic characteristics in the training data, but we do actively test our software for fairness and potential bias. Our test samples represent a wide range of demographic scenarios, including different ethnic backgrounds and age groups. These tests have confirmed that the software performs consistently across all groups and does not exhibit discriminatory behavior.\n<p>For Kepler Night Nurse (server application):<\/p><p>Kepler Vision Technologies allows specific alarms to be reported (provided the data is stored). This provides a structured way to provide feedback. <\/p><p>For Kepler NurseAssist (embedded application):<\/p><p><\/p><p>Responsibility for this lies with Mobotix.<\/p>","_links":{"self":[{"href":"https:\/\/keplervision.eu\/en\/wp-json\/wp\/v2\/pages\/31604","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/keplervision.eu\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/keplervision.eu\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/keplervision.eu\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/keplervision.eu\/en\/wp-json\/wp\/v2\/comments?post=31604"}],"version-history":[{"count":35,"href":"https:\/\/keplervision.eu\/en\/wp-json\/wp\/v2\/pages\/31604\/revisions"}],"predecessor-version":[{"id":31681,"href":"https:\/\/keplervision.eu\/en\/wp-json\/wp\/v2\/pages\/31604\/revisions\/31681"}],"wp:attachment":[{"href":"https:\/\/keplervision.eu\/en\/wp-json\/wp\/v2\/media?parent=31604"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}