This solution is built on TOF (Time-of-Flight) 3D depth sensing technology,
combined with embedded algorithms and human behavior understanding models.
It is designed for medical care, assisted living, elderly care, and rehabilitation monitoring,
providing non-contact, privacy-friendly, and 24/7 reliable
spatial perception and behavior recognition capabilities.
The system relies solely on depth information and does not capture RGB images,
ensuring both privacy protection and long-term operational stability.
TOF Fall Detection & Behavior Recognition Demo
Fall Detection & Risk Alerting:
By analyzing 3D human silhouettes and motion trajectories,
the system detects falls from multiple directions and postures,
enabling real-time alerts.
Suitable for nursing homes, rehabilitation centers, hospitals,
and independent living environments.
Prolonged Sitting / Lying Detection:
Continuous monitoring of human posture changes in 3D space
allows identification of abnormal prolonged sitting or lying behavior,
providing decision support for caregivers and medical staff.
Privacy-Preserving, Non-Contact Sensing:
The system outputs only depth data and behavior results.
No color images are captured or stored,
making it suitable for privacy-sensitive medical and care environments.
24/7 Stable Operation:
Independent of ambient lighting conditions,
the system operates reliably in darkness or low-light environments
and is suitable for continuous, around-the-clock operation.
Embedded, Local Algorithm Deployment:
All algorithms can run entirely on local embedded platforms
without reliance on cloud services,
ensuring real-time response, flexible deployment,
and easy integration into existing medical systems.