Dual-band visible + LWIR fusion enables reliable vehicle counting, pedestrian detection, and traffic incident monitoring regardless of lighting conditions or weather. Unlike conventional RGB cameras that fail in glare, headlight wash-out, or darkness, thermal sensors detect vehicle and body heat independently of ambient light.

CCTV camera monitoring city traffic on a busy urban road
Urban intersection monitoring systems benefit from thermal+visible fusion — maintaining detection accuracy in rain, glare, and low-light conditions

The NEXUS LV0619B AI imaging system integrates neural processing directly on the module board, enabling on-device analytics without latency from cloud communication. Detection results — vehicle counts, pedestrian alerts, incident flags — are output directly over standard video interfaces.

Application Scenarios

  • Urban intersection management: Vehicle and pedestrian detection with accurate counts across all lighting conditions, feeding adaptive traffic signal control systems
  • Highway incident detection: Wrong-way driver, stopped vehicle, and debris detection for rapid emergency dispatch
  • Crowd density monitoring: Public event and transportation hub safety — early warning of crowd crush risk
  • School zone and crosswalk safety: Reliable pedestrian detection in dawn/dusk glare conditions where RGB cameras miss

Technical Advantages

The LWIR channel detects thermal differences between road surfaces, vehicles (engine heat), and pedestrians — providing a reliable signal even when the visible channel is saturated by direct sunlight or headlights. Fused outputs reduce false positives from shadows and reflections that commonly trip single-band systems.