Object and vehicle tracking across camera views

The problem

How it works

1. 1Objects of interest are detected in each frame.
2. 2A tracker links detections into trajectories.
3. 3Zone entry, exit and dwell time are calculated.
4. 4Process timings and exceptions are reported.

What can be detected

• Vehicle arrival and departure at docks
• Dwell time per zone
• Route and zone transitions
• Objects left in a zone longer than allowed

Typical scenarios

• Truck and dock management
• Internal logistics between stations
• Material flow in workshops
• Yard monitoring

Working with existing cameras

• Tracking across multiple cameras requires planned overlap or handover zones.
• 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

• REST API to WMS, TMS or MES
• Dashboard and reports

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

• Long occlusions can break tracks; re-identification across cameras is evaluated per project.
• Custom object classes require training data.