AI-Triggered Crossing Warnings at an Automotive Manufacturing Facility

Case Study · Active Safety Solutions

AI-Triggered Crossing Warnings at an Automotive Manufacturing Facility

WSS combined AI visual recognition with projected STOP signs and audible warnings to address a crossing beneath an overhead vehicle carrier.

SectorAutomotive Manufacturing
SolutionAI & Projected Markings
LocationUnited Kingdom


Projected STOP warnings at a production-line underpass crossing beneath an overhead vehicle carrier

AI recognition
Configured to detect the carrier’s wheels
Automatic
Triggers projected and audible warnings
Targeted
Distinguishes the hazard from unrelated activity
Integrated
Works with the existing warning infrastructure
01

The Challenge

A UK automotive manufacturer needed to improve safety at a crossing beneath an overhead vehicle carrier on a live production line.

Pedestrians, material transfer carts and ride-on pallet trucks used the height-limited underpass. When a vehicle travelled overhead, movement through the crossing needed to be held back.

The initial system used sequential beam detection, projected warnings and audible alarms. Maintenance activity could trigger unnecessary alerts, while differences in vehicle height made consistent detection difficult.

02

Our Approach

WSS reviewed what the system needed to recognise and developed an approach that would:

  • Identify vehicle wheels entering a defined zone above the crossing
  • Filter out unrelated activity that could interrupt beam sensors
  • Activate the existing projected and audible warnings
  • Fit around the production line without modifying the carrier infrastructure
03

What We Delivered

WSS  implemented a SAiFI AI visual recognition system, configured around the crossing’s specific hazard.The AI camera system monitors a defined area and recognises the wheels of vehicles moving along the overhead carrier. Detecting that specific feature enables the warning response to be tied to the movement that creates the risk.

The system activates projected STOP warnings and the existing sounders to instruct pedestrians and ground-level traffic to wait while the overhead hazard passes.

See the system in action

How the AI system works

Tom Davies explains the detection approach and its integration with the crossing warnings.

04

Results & What’s Next

The AI upgrade changed what triggered the warnings: recognition of the defined carrier-wheel hazard replaced reliance on interrupted beams alone.

The published project review reports fewer nuisance activations, improved operator confidence and smoother crossing flow. The system was integrated with the existing warning equipment without major changes to the production line.

The project demonstrates:

  • Site-specific recognition focused on the feature associated with the hazard
  • Connected warnings that turn detection into an immediate instruction
  • Practical integration with the existing crossing controls
  • A considered upgrade addressing the limitations of the initial detection method

Recognise the hazard. Activate the warning. Keep the crossing clear.

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