The advents of disruptive technologies including CV AI, voice, and mixed reality have introduced a futuristic vision to the smart vehicle experience. Specially the computer vision AI benefits a lot and improved the safety level in fleet management. Compared to traditional machine vision systems, CV deep learning models achieve far greater performance, robustness, and flexibility. Hence, computer vision deep learning is the gold standard for most modern vision systems.
Driver Status Monitoring system (DSM) is designed to reduce Human Error Through Vision-based Monitoring
The automakers or vision solution provider are trying to minimize the 95 percent of traffic accidents caused by human error through driver monitoring technology which tracks driver behavior, identifies if a driver is distracted or fatigued, and intervenes before an accident occurs.
Such systems depend upon in-car sensors that capture what’s going on in the vehicle’s interior. Employing computer vision and facial recognition technology, the sensor data enables these monitoring systems to track and process a driver’s facial expressions, eye movements, and head position to understand his status and behavior. It can detect the potential issue can send an alert to the driver. Also, in more advanced vehicles it can automatically pull over and bring the car to a stop.