A novel AI fall-management system for older adults is branching out in a big way. Previously adopted by over a dozen senior living communities and memory care facilities, KamiCare by Kami Vision has moved into the consumer space with Fall Detect by KamiCare, bringing fall-prevention care where it is needed most: the home. According to the Centers for Disease Control and Prevention (CDC), about 3 million older Americans are brought to emergency rooms due to falls each year. These falls result in around 34,000 deaths annually, and cost around $50 billion in medical expenses each year.
A solution now comes at an affordable price. For $24.99 per month, Fall Detect subscribers get a fall-detecting camera that features continuous live views, real-time alerts, two-way communication, and keeps a record of fall history. All with privacy, as users authorize who shares this information. If there is a fall, notifications are sent to these authorized people, such as friends, family and healthcare professionals, via an app, SMS, email, or a phone call. All that’s needed in the home of the subscriber is power and WiFi. Kami Vision CEO Yamin Durrani says, “We’re empowering the age-in-place movement. Fall Detect is an integral service to protect seniors and provide greater autonomy.”
The tech behind the system is equally notable; edge AI in the sensor — rather than relying on the cloud — recognizes falls. Storing data on the device instead of a server reduces both latency and cost. And the vision AI camera only identifies people, lowering the chance that a pet or a moving object in the home could trigger a false alert. The system also identifies what KamiCare calls “intentional lowering,” a warning sign and precursor of a fall that can manifest when the older adult is doing things like putting on shoes or picking something up from the floor. Plus Fall Detect points out potential issues such as obstacles in a walking path that could lead to a fall.
How accurate is the system? Its makers say Fall Detect by KamiCare identifies confirmed falls in 90 seconds or fewer with 99% accuracy, reducing fall risks by 60% and lowering hospitalization costs by as much as 80%. And that the system’s ever-improving false positives are down to about 15%. Durrani adds, “[Older adults] want to remain in their homes for as long as possible. They report feeling safer and more secure in the comfort of their home. At the same time, their families want additional layers of protection in place when it comes to fall risk.”