Detect people who have fallen

Use This When

• Building safety monitoring systems for elderly care or industrial environments
• Detecting medical emergencies where person collapse needs immediate alerts
• Monitoring high-risk areas where falls require rapid response
• Implementing automated safety surveillance in warehouses or construction sites

What It Does

• Analyzes pose landmarks to determine if person orientation indicates fallen state
• Uses body keypoint angles and positions to distinguish lying/fallen from normal postures
• Outputs boolean fallen status per detected person for alert triggering
• Processes pose detections to classify body state without requiring video history

Works Best With

• Pose landmark detector → this component → alert systems or safety dashboards
• Real-time monitoring pipelines needing instant fall detection notifications
• Safety compliance systems tracking incident frequency and response times

Caveats

• Requires accurate pose landmarks; poor pose detection causes false positives or misses
• Cannot distinguish intentional lying down from accidental falls without temporal context
• Single-frame analysis may trigger on sitting or crouching if angles match fallen threshold
• Camera angle affects body orientation perception; calibrate thresholds per installation