How accurate is edge-based AI?

How accurate is edge-based AI?


How accurate is edge-based AI?

Using a dedicated ADAS camera, typical accuracies are as follows:

    • Lane Departure Warning  95%
    • Forward Collision Warning  95%
    • Pedestrian Detection Warning  90%

    Factors affecting ADAS accuracy include:

    • Placement and calibration of camera
    • Sensitivity settings in configuration
    • Very high speeds
    • Extreme weather
    • Poor light conditions
    • The need for the preceding vehicle to be in the same 'recognized lane'
    • Human-shaped standing signs or roadside dummies (however, portrait patterns on the preceding vehicle or on a roadside billboard rarely trigger)
    • Accurate inputs from the Left and Right indicators
    • Water stains, cement joints, or other line-like marks on the roadway.

     

    Using a dedicated ADAS camera, typical accuracies are as follows:

    • Fatigue                  95%
    • Distraction          95%
    • Phone                   95%
    • Smoking                               95%
    • Seat belt                               90%

    Factors affecting DSM accuracy include:

    • Placement and calibration of camera
    • Sensitivity settings in configuration
    • Frequently blinking
    • Deep sunken eyes or long eyelashes
    • Eye glass reflection
    • Sunglasses and glasses that block infrared
    • Masks, thick beards and other objects around the mouth
    • Strong backlighting
    • Seatbelt same color and texture as driver’s clothing
    • Similar shaped and sized objects to a cigarette, e.g. pens
    • Hand and cigarette must be in view at the same time
    • Hand must not cover more than 80% of the cigarette
    • Cigarette is directly facing the DSM camera (no discernible features)
    • Cigarette is held horizontally
    • Phone is held side-on to the camera (either vertically or horizontally)
    • At least 20% of the phone must be visible
    • Phone color same as background
    • Similar shaped and sized objects to a phone, e.g. walkie-talkies and e-cigarettes
    • Hands free calling not detected

    In many of the above cases, the AI system will typically trigger an alarm, preferring not to miss a genuine event even though it may be a false positive.

     

    Please also note that the DSM features on an AI Dashcam are largely dependent on the manufacturer firmware. While dashcams such as the VT3500-AI broadly support all main DSM features, its better detections are in the areas of Phone Use and Seatbelts. All other DSM features are better supported with a dedicated DSM camera.