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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).