Kevin Tang FallGuard: 13-Year-Old Builds AI Device for Elderly Safety

Kevin Tang FallGuard is an AI-powered fall detection system created by a 13-year-old student after his grandmother suffered a life-changing fall at home, inspiring him to improve elderly safety. Kevin Tang FallGuard has earned global attention after the young innovator developed an AI-powered system that detects falls among older adults without requiring them to wear smart devices. Inspired by his grandmother’s accident, Tang designed the camera-based technology to monitor movement inside homes and instantly alert caregivers when a fall is detected. Unlike traditional wearable emergency devices, FallGuard uses artificial intelligence and computer vision to identify falls in real time. The affordable prototype was built using low-cost hardware, making it more accessible for families caring for elderly relatives. The invention also won recognition in the 3M Young Scientist Challenge, highlighting the growing impact of student-led innovation in healthcare technology. Kevin hopes to further reduce the system’s cost and expand its availability to improve senior care worldwide.