Modern cars identify drivers' fatigue status through multimodal intelligent monitoring technology, relying mainly on three core mechanisms. AI algorithms are employed to calculate physiological indicators such as blink frequency (e.g., less than 12 times per minute), eyelid closure time (PERCLOS value), and yawning frequency (mouth MAR value exceeding 0.5 for 2 consecutive seconds). Some high-end models also monitor abnormal movements like head posture deviation exceeding 25 degrees. Second is driving operation monitoring, which relies on steering wheel torque sensors and Lane Keeping Assist (LKA) systems. Third is regulatory duration monitoring: the ECU records continuous driving time, and mandatory reminders are issued if no rest is taken after more than 4 hours. Some models link with navigation systems to plan rest stops. These technologies are usually integrated into L2-level autonomous driving systems. For example, the Proton X90 is equipped with the second-generation DMS, which can intervene in fatigued driving through hierarchical alerts (from dashboard flashing to forced deceleration). Notably, new cars launched after 2025 will generally adopt multispectral cameras to solve nighttime monitoring challenges and introduce edge computing devices for localized real-time analysis. However, it is recommended that drivers still take the initiative to rest every 2 hours, as the system still has limitations in recognizing special scenarios such as wearing sunglasses or static gazing.
