Human Behavior Recognition System

This human behavior recognition system uses video as its core data source, analyzing posture and motion with an AI model to recognize behaviors such as standing, walking, prolonged inactivity, suspected idling, restricted-area intrusion, and falls in real time, with alert conditions configurable for different environments.

In long-term care and monitoring of elderly people living alone, it can quickly detect falls or prolonged non-movement and immediately notify caregivers; in factories and warehouses, it can monitor intrusion into hazardous zones and unsafe work behavior; in general security scenarios, it can identify suspicious intrusion and loitering.

Technically, it supports simultaneous multi-target tracking and continuous learning depending on site conditions. All clips that trigger an alert are automatically saved as objective evidence for later audits and training, helping site safety management evolve from passive monitoring to proactive early warning.