AI pedestrian detection
Identifies people inside configured vehicle danger zones without wearable tags.
AI pedestrian detection & collision avoidance camera for industrial vehicles
Forklift pedestrian detection that acts before contact
An AI camera watches the danger zones around your forklifts, warns the operator and supports automatic stopping before contact with a pedestrian — without wearable tags.
Operator warning
Provides clear visual and audible alerts when a critical approach develops.
Optional automatic stop
Can support vehicle stopping when the control circuit allows a safe integration.
Automatic stop demonstration: the AI camera detects a pedestrian in the forklift path and triggers the stop output before contact.
From detection to action
Collision avoidance for blind spots and mixed traffic
The camera analyses people in the vehicle path, separates warning zones and sends an alarm output when the risk level changes.
- Step 1
Detect
Identify people around the vehicle movement zone.
- Step 2
Assess
Analyse distance and the developing trajectory.
- Step 3
Warn
Trigger escalating visual and audible operator alerts.
- Step 4
Act
Provide an alarm output for approved vehicle safety logic.
Detection in action
How the AI camera sees a danger zone — before and after
Without detection, the operator finds out about the person at the last moment. With calibrated warning and stop zones, the same situation produces an escalating alert — and, where integrated, a stop signal.
Red dashed area — critical zone (stop output) · Amber dashed area — early-warning zone · Blue frame — pedestrian detected
Blind spot detection and warning zones
The system watches what the operator cannot
Real-time pedestrian detection
Detects a person in near danger zones, including non-ideal body positions and complex manoeuvring scenarios.
Audible warning and alarm output
Provides escalating warning flow and supports integration with external alarm or blocking logic.
Stop-system integration
When trajectory risk becomes critical, an alarm output can support stop action instead of warning-only response.
Applications
Where forklift pedestrian detection pays off
Warehouses and logistics
Racking aisles, dock areas and shared walkways where forklifts and people work in the same space.
Manufacturing plants
Delivery zones and production feeds where visitor and contractor traffic is hard to control.
Ports and terminals
Mixed traffic of heavy machinery and people, especially at shift changes.
Quarries and heavy machinery
Blind spots around loaders and dumpers are larger; camera zones scale to the machine.
Recycling and scrap yards
Constant pedestrian–vehicle mixing in tough outdoor conditions.
Deployment
Retrofit the forklifts already working on your site
Start with one critical direction or expand coverage across rear, side and front blind spots. The final layout depends on the vehicle and operating process.
1 to 4 cameras
Cover one critical direction or several vehicle blind spots.
Visual and audible alerts
Give the operator a clear warning without extra wearable tags.
Industrial installation
Select camera positions, monitor placement and wiring for each vehicle.
Engineering-led integration
Connect alarm or stop logic only after the vehicle circuit and operating risks are assessed.
Harsh-environment hardware
IP69K-rated camera options are available for washdown and outdoor dust; enclosures are selected per site.
Operational value
Turn a blind spot into a managed safety zone
The system adds a visual detection layer around the vehicle, helping operators respond to people in configured risk zones before a critical approach becomes contact.
A practical pilot starts with one vehicle, one high-risk route and clearly defined warning or stopping behaviour.
Review deployment options →Questions
Before you plan a pilot
Is this only a rear-view camera?
No. The camera detects pedestrians inside configured risk zones and can provide visual and audible operator warnings. An alarm output can also support vehicle safety logic where a safe integration is possible.
Is the system only for forklifts?
No. The same approach can be adapted to other warehouse and industrial vehicles with blind-spot or mixed-traffic risk.
Can it support automatic stopping?
The system can provide an alarm output for stop-system integration. The final implementation depends on the vehicle control circuit and a safe engineering assessment.
Does the pedestrian need to wear a tag?
No wearable tag is required for visual pedestrian detection. The camera analyses the scene around the vehicle.
Can the hardware work in harsh environments?
The available industrial camera hardware includes IP69K-rated options. The final enclosure and installation are selected for the operating environment.
How is this different from RFID or UWB tag systems?
Tag-based systems only detect people wearing a tag. The AI camera detects any person inside the configured risk zones visually, so visitors, contractors and unfamiliar staff are protected too — and there are no tag batteries to manage.
Which vehicles can the system be fitted to?
Counterbalance forklifts, reach trucks and similar warehouse vehicles are the core use case. The same hardware can be adapted to other industrial vehicles with blind-spot risk after an engineering assessment.
Does it replace pedestrian segregation rules?
No. It complements workplace transport safety practice such as HSE guidance in the UK and OSHA rules in the US. Physical segregation, training and traffic routing stay primary; detection covers the residual risk in mixed traffic.
Start with the critical route
Map the blind spot before choosing the hardware
Vehicle geometry, pedestrian flow and the required operator response determine the camera layout. Share the route and vehicle type to start a technical discussion.
Request a demo