Qcarcam Api May 2026

Marina insisted every automated judgment include an audit trail. If the API reported “primary-fault: following vehicle” it also returned the rules and model activations that led to that call: “distance-to-lead < 1.2s for 6s; deceleration profile inconsistent with road grade; rear-impact vector 280°; model ensemble weight 0.63.” That way, a claims investigator could understand, contest, or corroborate the conclusion without blindly trusting a number.

This explainability shaped user trust. Fleet managers used it to coach drivers — showing them seconds of video with speed graphs; law enforcement used it to corroborate statements while preserving citizens’ rights; safety researchers aggregated anonymized events to spot dangerous intersections. qcarcam api

Why use QCarCam over the standard Android Camera HAL? It boils down to three pillars: Marina insisted every automated judgment include an audit

qcarcam_hw_cfg_t hw_cfg = 
    .csi_lane_id = 0,
    .csi_lane_assign = 0x4321,
    .csi_data_type = QCARCAM_CSI_DT_RAW10,
    .sensor_id = SONY_IMX390_ID
;
qcarcam_set_hw_config(session_id, &hw_cfg);