Fall and worker-down detection with CCTV

The problem

How it works

1. 1People are detected and tracked in each camera view.
2. 2Posture and motion patterns are analysed to recognise a fall or a person lying down.
3. 3A short confirmation window reduces alerts for people who simply bend or kneel.
4. 4An alert with a snapshot is sent to the defined responders.

What can be detected

• Fall event
• Person lying motionless beyond a time threshold
• Fall locations over time for risk analysis

Typical scenarios

• Lone-worker areas and night shifts
• Stairs, ramps and wet floors
• Cold storage and remote warehouse zones
• Public areas in hotels or retail spaces

Working with existing cameras

• The person’s full body should be visible; heavy occlusion reduces reliability.
• Side or angled views are generally better than strict top-down views for posture analysis.
• Most IP cameras and NVRs that provide RTSP or ONVIF streams can be connected, regardless of brand.
• Before a pilot, sample footage from each candidate camera is reviewed for resolution, angle, distance and lighting.
• Where a view is not suitable, the recommendation is usually to reposition the camera or add one — not to replace the whole system.

Integration

• Dashboard and mobile alerts
• Escalation via REST API / webhook
• Local siren or beacon via relay output

Privacy and security

• No face recognition is used in safety and operations analytics; events describe what happened, not who.
• On-premise processing keeps video inside your network.
• Evidence clips, retention periods and user access are configurable and should follow your GDPR/KVKK policies.
• Workplace monitoring should be introduced with clear employee information and, where applicable, consultation with employee representatives.

Limitations

• Some work tasks (lying under a vehicle, maintenance on the floor) resemble falls; such zones are configured or excluded during the pilot.
• It is an alerting aid and does not replace emergency procedures.