Forklift Safety with Computer Vision: Monitoring Pedestrian Interaction Risk

Making near-misses at crossings visible — and what camera-based systems can and cannot do.

5 min readBy the Hype Vision engineering team

Aisle ends, dock doors and blind corners — where forklifts and pedestrians share space — carry most of the interaction risk in warehouses. Near-misses there are rarely reported.

How it is monitored

  1. Existing cameras covering crossings are connected.
  2. The model detects and tracks forklifts and people.
  3. Pedestrian zones, vehicle zones and proximity rules are defined.
  4. Rule breaches trigger alerts and are logged for near-miss analysis.

Using near-miss data

Location and time distributions show which crossing to address first — markings, mirrors, barriers, traffic rules or shift changes.

Limitations

Camera-based monitoring is an awareness and analysis layer. It does not replace vehicle-mounted safety systems or safety-rated interlocks. Racks and loads can block views, so camera placement matters.

Solution page: forklift–pedestrian detection. Industry: logistics and warehousing.

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Frequently asked questions

Do forklifts need sensors?

No; detection is camera-based. Existing vehicle-mounted systems can be used alongside.