Driven by UN R171/R157 regulations, the Driver Monitoring System (DMS) has evolved from an auxiliary feature into a critical core requirement for L2/L3 autonomous driving. Centered on vision-based DMS, this technology integrates domestic in-cabin cameras with edge computing devices and deploys lightweight AI models to robustly overcome bottlenecks such as mask/glass occlusions, large head poses, and complex lighting conditions. It precisely tracks gaze trajectories and fatigue states to instantly trigger alerts or Transition Demands; furthermore, it supports an expandable non-contact bio-radar module that fuses physiological signals—such as respiration and heart rate—to further enhance the accuracy of Driver Availability assessment, making it a highly commercially viable solution for autonomous electric buses.

1.Equipped with a 940 nm infrared (IR) camera at 720p (1280 x 720) resolution. 

2.Robustly adaptable to day/night lighting conditions and occlusions such as glasses or face masks. 

3.Head pose detection range: yaw ±60°; pitch ±20°. 

4.Complies with UN R157 requirements for driver availability and attentiveness monitoring. 

5.Delivers UN R171-compliant Eyes-on-Road (EOR) alerts within 5 seconds at ≤60 km/h and 3.5 seconds at 130 km/h. 

6.Runs on AI edge computing devices, requiring approximately 10 TOPS, with processing time ≤325 ms, enabling real-time in-cabin event detection.

This technology can be applied in various types of vehicles equipped with in-cabin monitoring system, such as car, bus, intercity bus, autonomous vehicle…etc.

This technology supports domestic manufacturers intending to develop driver monitoring systems by enabling them to establish key technological capabilities in the intelligent cockpit monitoring domain, including robust AI-based facial detection and recognition, driver gaze detection and gaze trajectory tracking, lightweight multi-task model inference, and driver availability recognition. By enhancing product development capabilities, the technology effectively shortens development cycles, reduces R&D costs, and strengthens competitiveness in the global market.