Infrared vision delivers safety where it matters most.

Compal ITS applies infrared sensing and AI perception to support early, reliable detection of occluded pedestrians, cyclists, and vulnerable road users in adverse weather conditions and all lighting environments.

Tunnel To Bright Sunlight

Challenge:

Sudden transition to bright light causes exposure delay in visible cameras, temporarily degrading detection.

Infrared:

Unaffected by light intensity changes, maintaining continuous perception.

Impact:

Provides uninterrupted safety during bright sunlight.

Fog

Challenge:

Fog scatters visible light and reduces LiDAR return accuracy, lowering detection range.

Infrared:

Maintains higher thermal contrast in fog.

Impact:

Enables distant classification with high confidence.

Object in Road

Challenge:

Small, low-profile, or non-reflective objects may be missed by visible-light cameras, especially at night or under glare.

Infrared:

Detects thermal differences or heat-retaining surfaces earlier.

Impact:

Improves awareness of obstacles that may not be immediately visible to conventional systems.

Snow & Rain

Challenge:

Snow and rain reduce visibility and can obscure pedestrian form or roadway edges.

Infrared:

Sees heat differences in snow, rain and low contrast backgrounds.

Impact:

Maintains classification of vehicles, pedestrians, animals, and objects.

Construction

Challenge:

Temporary layouts, high-visibility clothing under headlamp glare, or workers obstructed can degrade perception accuracy.

Infrared:

Highlights human thermal signature, independent of environmental lighting and glare.

Impact:

Supports earlier detection of workers and vulnerable road users in transitional or poorly lit construction areas.

Dirty Windshield

Challenge:

Dirt, dust, or water droplets reduce contrast and distort vision perception.

Infrared:

Continues tracking based on thermal signature, less dependent on optical clarity.

Impact:

Supports consistent and reliable classification.

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