Dynamic Safety Zones: Edge-AI Guidance for Industrial Forklifts

The Challenge: Safer Movement in Mixed Traffic Areas

Forklifts often operate near pedestrians, racks, assembly stations, and temporary work zones. Fixed barriers and floor markings help, but they cannot adapt quickly when routes, load paths, or work cells change.

The deployment required:

• Edge Intelligence: Local processing on the vehicle to reduce reaction time.
• Vibration Resistance: Reliable operation on vehicles that run over uneven factory floors.
• Power Management: Stable startup and shutdown behavior on ignition-controlled industrial power.

The Solution: YT-Karbon Series Edge AI PC

The deployment used YX-E 500 systems for multi-camera processing and YX-E 300 systems for compact vehicle control nodes.

The YT-Karbon Engineering Fit

1. Rugged Connectivity: M12 connector options help keep camera and power cables secure under vibration.
2. Ignition-Sensing Support: The system can coordinate boot and shutdown with vehicle power cycles to reduce data corruption risk.
3. Sensor Fusion Capacity: PoE camera and sensor inputs support local perception models for dynamic safety zones.

Technical Architecture: The Safety Zone

The system processes sensor data directly on the vehicle:

• Perception: Cameras and depth sensors identify pedestrians, obstacles, and vehicle path constraints.
• Decision: The edge system estimates risk zones based on vehicle direction, speed, and obstacle position.
• Action: When a risk condition is detected, the control layer can signal warning, speed-limit, or braking systems depending on the vehicle integration.

Engineering Outcomes

• Reduced Latency: Safety decisions can be made locally without depending on round-trip cloud processing.
• Operational Flexibility: Dynamic zones can adapt to changing aisle layouts and temporary work areas.
• Vehicle Integration: Industrial power handling and rugged I/O make the system easier to deploy on mobile equipment.