Driving while under fatigue and drowsiness poses a high risk for drivers

It is estimated that 6,000 fatal car crashes in the US are caused each year by drowsy driving, according to the Centers for Disease Control and Prevention (CDC).

Alter is a video-based embedded solution for detecting drivers’ signs of fatigue and tendencies to fall asleep during driving in real-time. It works by capturing and analyzing critical features related to sleep and drowsiness over short but regular time intervals. These include micro-sleeps, eye-blinking, yawing opening, as well as head tilts and orientation. Using deep learning, the system has been trained to extract those features using a reference and well-established data sets of videos produced by subjects at various levels of fatigue tagged according to KSS (Karolinska Sleepiness Scale).