VLM output
Inside a warehouse aisle, several workers in hi-vis vests and hard hats handle stock on pallet racking while one worker in an orange vest and white helmet maneuvers a powered pallet truck/stacker along the marked floor lane. A worker with a red clipboard checks and picks items from a shelf, another crouches at a low rack, and a colleague walks past in the foreground.
- PPE ComplianceYes
- High-Vis Vest WornYes
- Hard Hat WornYes
- Persons Detected4-5
- Powered Equipment PresentYes
- Pedestrian Near VehicleYes
- Safety Violation DetectedNo
- Aisle ObstructionNo
- Risk LevelLow
Customer challenges
Safety incidents still depend heavily on human observation and reporting
Workers may be unable to call for help during an emergency
PPE compliance is difficult to monitor continuously
Forklifts, robots, and workers increasingly share the same operating space
Critical events may not be detected until after an incident occurs
Customer benefits
Improve worker safety and risk awareness
Enable faster emergency response
Strengthen PPE compliance
Reduce vehicle-pedestrian risks
Reduce reliance on manual supervision
Key features
Fire & Smoke
Detects fire and smoke early in monitored areas.
Incident Detection
Person Fall, Wave for Help
Protective Gear Detection
Checks whether workers wear the required protective equipment.
Forklift–Pedestrian Proximity Alert
Alerts when a forklift comes too close to a pedestrian.
Before & after
| Before | After — with Linker AI Nexa |
|---|---|
| Before Safety relies on manual observation | After — with Linker AI Nexa Continuous AI safety monitoring |
| Before Falls require manual reporting | After — with Linker AI Nexa Automatic fall detection |
| Before Workers must manually call for help | After — with Linker AI Nexa Emergency gesture recognition |
| Before PPE checks rely on supervisors | After — with Linker AI Nexa Automated PPE monitoring |
| Before Vehicle-pedestrian risks go unnoticed | After — with Linker AI Nexa Real-time proximity alerts |