Advanced In-Cabin Vital Signs & Driver Monitoring Systems

CareDetection transforms in-cabin visual and infrared cameras into clinical health monitors. By processing micro-color fluctuations in facial skin and tracking pupil micro-saccades, it detects driver drowsiness, cognitive distraction, and passenger vital signs without a single wearable device.

Exposing Driver Drowsiness Long Before the Eyes Physically Close

Standard driver monitoring systems rely solely on eyelid closure (PERCLOS); by the time eyes close at 100 km/h, the vehicle has traveled 30 meters completely blind. CareDetection monitors autonomic micro-indicators: pupil diameter oscillation, eyelid velocity decline, and sub-dermal facial blood flow fluctuations, alerting drivers to cognitive fatigue before physical microsleep strikes.

Core Engineering Areas

• Remote Optical rPPG Vision — Analyzing micro-variations in green-spectrum light absorption caused by blood pulsing through sub-dermal capillary beds across the forehead and cheekbones.
• 3D Gaze Vector Tracking — Synthesizing 3D eyeball center geometry and corneal reflection glints (Purkinje images) to identify exactly when the driver looks away from the road for > 1.5 seconds.
• Child & Pet Presence Detection — Using 60 GHz mmWave radar to detect the sub-millimeter chest wall movements of a sleeping infant hidden beneath heavy blankets in locked parked cars.

Technical Articles

• Implementing Remote Photoplethysmography (rPPG) in Automotive Cockpits
• 60 GHz mmWave Radar Topologies for Sub-Millimeter Infant Breathing Sensing

Related Cluster Architecture Specifications

• AutomotiveSDV — Full SDV Stack & Reference Architecture
• A2HCard — Agent-to-Human (A2H) Interface Cards & In-Cabin Autonomous Interaction Manifests
• A2HumanCard — Standardized In-Vehicle AI Agent Capability Discovery, Trust & Authorization Cards
• AIDrivenSynBio — AI-Driven Synthetic Biology for Automotive In-Cabin Air Purification, Bio-Engineered Pathogen Scavengers & Molecular Biosensors