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Features Built for Automotive Cabin Integration

Every capability engineered for production-grade driver monitoring — from real-time fatigue detection on automotive SoCs to fleet-scale wellness analytics.

Driver Vital Signs Extraction

Physiological metrics from the cabin camera, delivered in real time

Continuous Heart Rate

Ongoing heart rate measurement extracted from facial video via rPPG, providing a real-time physiological baseline for fatigue and impairment detection

HRV-Based Fatigue Scoring

Heart rate variability analysis tuned for automotive use cases, identifying the autonomic shifts that precede drowsiness and microsleep events

Real-Time Stress Indicators

Sympathetic nervous system arousal detected through cardiovascular signal patterns, providing continuous driver stress context to ADAS and fleet systems

Driver Alertness Scoring

Composite alertness metric derived from multiple physiological signals, giving DMS controllers a single reliable indicator of driver readiness

Driver Vital Signs Extraction

Automotive-Grade Integration

Engineered for the constraints and requirements of vehicle programs

Automotive SoC Optimization

Algorithms optimized to run efficiently on production automotive processors, maintaining real-time performance within the compute and thermal budgets of cabin-mounted ECUs

Standardized SDK Interfaces

Clean API outputs compatible with major automotive middleware frameworks, enabling straightforward integration into existing DMS software architectures without custom bridging

Fleet Analytics Pipeline

Aggregated physiological telemetry across vehicles and drivers, transforming individual cabin data into fleet-wide safety intelligence through anonymized trend analysis

Automotive-Grade Integration

rPPG Vitals vs. Traditional DMS Only

Feature
QuickScanVitals
Traditional Methods
Physiological Fatigue Detection
No Additional Sensors Required
Continuous Stress Monitoring
Gaze and Attention Tracking
Complementary
Fleet Wellness Analytics
Limited
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