At present, behaviour recognition mainly adopts two solutions: one is to wear a health bracelet and other contacting monitors, and the other is to perform video analysis through a visual camera. However, contacting monitors such as health bracelets can only recognize the basic daily behaviours (walking, stillness, etc.), and cannot accurately determine the dangerous behaviours of the senior people, and also have the problem of comfort wearing.

By the utilization of machine learning and big data, this product uses radar images to achieve non-contact monitoring of dangerous behaviours of the senior, solve the privacy problems caused by visual cameras, including toilets, bedrooms and other places, achieve full-range monitoring and real time, and solve the nursing home’s monitoring of dangerous behavioural issues for the senior people.