Drowsiness Detection using Light Framework

People must be aware that to be at their best, they have to be at least awake. However, if one operates a vehicle despite being tired or out of concentration, they are not at their best—moreover, they are endangering themselves. Human fatigue could, at times, become a severe problem that can hamper the protection of travelers. Nearly every fifth case in more than 200 significant investigations completed between year 2000 to 2010 claimed driver fatigue as a ground, decisive issue, or a finding as part of the investigation. In this research, we compare and propose a machine learning-based solution that can detect drowsiness in drivers efficiently and in real-time.