SGI Launches TOF Fall Detection for Elderly Care

China’s population aged 65 and above has reached 191 million, accounting for over one-fifth of the global elderly demographic. As population aging accelerates and the demand for elderly care services surges, smart elderly care technology has become a key focus of public attention. Recently, Suzhou Vision Intelligence announced the launch of its next-generation TOF (Time-of-Flight) fall detection solution, which has already been successfully piloted in client elderly care systems. The solution utilizes a VGA-resolution TOF depth camera to capture indoor 3D depth data and combines AI-based posture recognition with fall detection algorithms and high-performance edge computing to achieve precise monitoring of fall incidents among the elderly.

The TOF depth camera emits infrared light pulses to measure distance, generating real-time 3D depth maps of monitored spaces and extracting human posture features for analysis. Compared with traditional RGB cameras, this solution only captures depth contours, eliminating the need to record facial or environmental details, thus naturally protecting user privacy. Additionally, the TOF system is minimally affected by lighting conditions and can operate stably at night or in low-light environments, offering round-the-clock safety monitoring. In field tests, the solution was able to detect abnormal behavior early, reducing bed-related fall incidents by nearly 40% and significantly improving care efficiency and emergency response time.

Core Technologies

• VGA-Resolution TOF Depth Camera: Uses active TOF distance measurement to capture environmental depth information at 640×480 resolution. Each second, the camera collects over a million distance points to generate dense 3D point clouds that accurately reconstruct human and environmental contours.
• AI Posture Recognition and Fall Detection Algorithms: Analyze depth data output from the TOF camera to locate skeletal key points and interpret posture. The system can distinguish between normal and abnormal behavior and trigger an alarm in the event of a suspected fall.
• Edge Computing Box: Equipped with AI chips to process inference tasks locally, ensuring data privacy without the need for cloud transmission, and offering efficient, low-latency performance.

Accuracy and Privacy Advantages

• Higher Accuracy than Millimeter-Wave Radar: TOF generates dense depth point clouds with significantly greater precision, especially effective for detecting soft targets like the human body.
• Better Privacy than RGB Cameras: Captures only depth outlines without facial or environmental imagery, preserving user privacy and operating reliably in the dark.

Flexible Deployment

The TOF fall detection device supports ceiling or wall installation and is adaptable to spaces between 1.9 and 3 meters in height. With an overhead layout that does not interfere with daily life, it features clean, aesthetic wiring and is widely applicable to nursing homes, care centers, hospitals, and home bedrooms.

Real-World Application and Future Development

The solution has already been piloted within a client’s smart elderly care system, successfully enabling real-time fall alerts and rapid reporting. It integrates seamlessly with existing platforms to notify caregivers and family members instantly. Looking ahead, Suzhou Vision Intelligence will continue to optimize the solution and promote the integration of "Internet + Elderly Care." The company welcomes industry partners to join in building a smarter elderly care ecosystem.

Published on: August 1, 2025

Suzhou Guanshi Intelligence Technology Co., Ltd. (SGI) is an innovative company focused on TOF depth-sensing and intelligent camera solutions. The company offers end-to-end capabilities, from underlying algorithms and module design to complete system products, with wide applications in smart devices, security monitoring, smart healthcare, sports and fitness, and more. SGI is committed to continuously innovating, bringing 3D vision technology into diverse industries, and enabling a smarter, safer future for everyday life.