Key Features
Gaze Tracking
Real-time eye position and gaze direction monitoring with sub-degree accuracy
Drowsiness Detection
Multi-modal detection using eye closure, yawning, and head pose analysis
Distraction Alerts
Visual, auditory, and haptic warnings for driver attention management
Edge Processing
On-device inference with low latency and no cloud dependency
Technical Specifications
Performance Metrics
Detection Accuracy99.2%
Processing Latency<50ms
Frame Rate30 FPS
Working Distance50-80cm
Light ConditionsDay/Night/IR
Platform Support
NVIDIA Jetson (Xavier, Orin)
Qualcomm Snapdragon Ride
NXP i.MX8 & S32V
Intel Mobileye EyeQ
Renesas R-Car
Custom FPGA implementations
System Architecture
Input Layer
- • NIR/RGB camera feeds
- • Sensor data (CAN bus)
- • Vehicle state inputs
Processing Layer
- • Face detection & tracking
- • Landmark extraction
- • State classification
Output Layer
- • Alert generation
- • HMI integration
- • Event logging
Integration & Deployment
Modular Architecture
Plug-and-play integration with existing ADAS systems and vehicle ECUs via standardized interfaces.
Customizable Alerts
Configure warning thresholds, escalation policies, and notification channels based on OEM requirements.
Safety Certification Ready
ISO 26262 ASIL-B compliant development process with comprehensive testing and documentation.
Continuous Updates
OTA update capability for algorithm improvements and new feature rollouts without hardware changes.