Kepler Vision Technologies today announced the launch of its new range of Kepler Vision Smart Sensors. Developed in partnership with video security systems provider Hikvision, the Kepler Vision Smart Sensors enable care providers to better monitor the wellbeing of elderly patients in care home environments.
Integrated with the computer vision-powered Kepler Night Nurse software, the sensor, the software solution transfortransformsm a monitored video feed into text to alert staff when they are needed. For example, a video feed showing an elderly resident fallen on the floor is indicated by the message “In room 13 a client has fallen who needs help” – delivered to a nurse through the nurse call system. The video feed itself does not need to be sent or viewed by the nurse, ensuring privacy for the client, and removing the need for constant camera monitoring.
Through the use of deep learning and computer vision, the Kepler Night Nurse can detect when elderly patients fall, when they are in physical distress, and when patients suffering from dementia wander into areas that are not supposed to – automatically alerting staff when these patients need assistance. Replacing old sensor systems such as bed mats, motion sensors, and wearables like necklaces and bracelets, the software allows staff to immediately respond to patients and eliminates 99% of false alarms.
Two versions of the Kepler Vision Smart Sensor are available for use in care homes. A 6 MP camera for private rooms, and a 12 MP version for monitoring common rooms and hallways. These new devices reduce the calibration period for the Kepler Night Nurse and reduce the set-up cost for the system as a whole. While the quality of the Kepler Vision Smart Sensor ensures the highest level of operability for the Kepler Night Nurse, the solution will still work with any existing camera systems already in use by care facilities.
Dr. Harro Stokman, CEO of Kepler Vision Technologies, said: “We are very excited about the increased efficiency and accuracy that the new Kepler Vision Smart Sensor brings to care staff looking after the wellbeing of elderly patients. The combination of the Kepler Night Nurse solution with these sensors eliminates the need for pilot tests for the system in care environments, significantly reduces the set-up cost of the whole monitoring solution, and maximizes both the reliability and accuracy of our cutting-edge computer vision solution. Given the current state of the care home industry, we are proud to be offering something that reduces the strain on care staff by allowing them to more effectively administer care, without sacrificing the privacy of patients.”
Marc van der Heuvel, Hikvision Europe Business Development Leader for Benelux said: “We are pleased to be deepening our partnership with Kepler Vision Technologies by working with them on this new range of sensors. The work Kepler has done in creating the Kepler Night Nurse solution has the potential to be revolutionary for patient monitoring in elderly care around the world, and we’re glad that our cutting edge camera technology will enable Kepler to fully realize the potential of its computer vision software, in a way that will benefit both care staff and patients.”
The launch of the Kepler Vision Smart Sensor is an important component of Kepler Vision’s full-stack solution. This consists of the computing hardware found in the Kepler Edge Appliance, the Kepler Vision Smart Sensor, and of course the software itself in the form of the Kepler Night Nurse, which is being constantly refined to add greater functionality for care facilities of all kinds.
The Kepler Night Nurse solution is the world’s first computer vision-based fall detector to be awarded medical device status. Its computer vision-powered software is officially registered as a medical device in compliance with the European council directive 93/42/EEC. The registration signifies that the software has been tested both internally and in the field to meet the highest specifications and that risk assessment has been performed, and mitigating measures have been implemented.