Health Holland subsidy
Kepler Vision Technologies and the University of Amsterdam Partner to Develop AI-Driven Elderly Care Solution, Supported by Health Holland Subsidy
As the population ages and care resources become increasingly strained, innovative solutions are essential to ensure high-quality care for the elderly, particularly for those remaining in their own homes. Kepler Vision Technologies, in collaboration with the University of Amsterdam (UvA), is proud to announce its participation in a Health Holland-subsidized project aimed at developing an advanced automatic detection and reporting system to support elderly care in home environments.
Addressing the Growing Demand for Home-Based Elderly Care
With the elderly population growing much faster than the availability of care staff and dedicated care facilities, there is a pressing need for solutions that enable elderly individuals to stay in their own homes while receiving proper care. The burden of care often falls on both formal caregivers and informal caregivers, such as family members, who are increasingly overwhelmed by the demands of ensuring their loved ones’ well-being.
This project aims to alleviate that burden by developing a system that automatically monitors and reports the status of elderly individuals living at home. The system will send regular, simple, and informative updates to the elderly client’s “inner circle” — caregivers, family, and other relevant stakeholders — ensuring that they are always aware of the client’s condition without the need for constant physical monitoring.
Supporting Mission 2: A Vision for 2030
This innovative project aligns with Mission 2 of the Health Holland agenda, which targets a 50% increase in home-based care by 2030. For this vision to become a reality, formal and informal care must work together seamlessly. Given the increasing pressure on professional care services and the rising demands on informal caregivers, the development of this automatic detection and reporting system is vital for supporting both groups.
Kepler Vision Technologies offers a solution that eases the load on family members and professional care workers alike. By leveraging cutting-edge AI technology, Kepler can monitor elderly clients in their home environments without requiring constant human intervention. The system will help ensure that care can be delivered efficiently and effectively, without placing undue strain on caregivers.
A Pioneering Role for the Netherlands
As one of the world’s leading institutions in the field of AI, the University of Amsterdam plays a key role in this collaboration. By validating this type of automatic detection and reporting system, UvA can continue to enhance its reputation as a global leader in AI-driven healthcare solutions and attract the next generation of students to this critical field.
This partnership offers the Netherlands a pioneering role in Europe’s efforts to transform elderly care. By implementing and demonstrating the success of this AI-powered solution, the project is poised to have a significant impact on the Dutch economy and
healthcare system, serving as a model for other European nations facing similar demographic challenges.
Pushing the Boundaries of AI and Care
The project will also contribute to the scientific community by developing generative models capable of automatically producing reports and images from home environments. These generated data will be used to train AI models for recognizing daily living activities, further improving the system’s ability to monitor and report on elderly clients’ well-being.
By advancing these technologies, Kepler Vision Technologies and the University of Amsterdam are helping to ensure that elderly care can meet the demands of the future, while also relieving the pressure on caregivers and creating a more sustainable, scalable model for home-based care.
Together, Kepler Vision Technologies and UvA are at the forefront of transforming elderly care, ensuring that both formal and informal care networks can work together more efficiently to support the aging population in their own homes.