Biology and Facial Characteristics
Algorithms analyze facial characteristics like yawning, blinking, or head movement to indicate drowsiness. Detection systems go further and study minute details like inner and outer eye corners, the tip of the nose, pulse rate, heart rate, and EEG. Varying physiological indicators are accurate ways to determine driver drowsiness.
Vehicle Performance and Behavior
Driver fatigue and vehicle behavior are closely linked. Detection systems continually monitor a car’s speed, angle, and position according to car type, road conditions, and the weather. Together, these elements are telling indicators of drowsiness.
Images and Videos for Analysis
Computers analyze a ton of facial expression images – sorting out useful data and discarding the rest. Similarly, they convert video frames into a series of relevant images.
Active safety technology goes miles ahead in ensuring driver safety. Not only does it evaluate driver behavior but accounts for vehicle performance and surroundings. Early warning systems help drivers prevent accidents altogether or considerably reduce the impact in dangerous situations.