Drowsiness Detection and Alert System using DLib

Drowsiness refers to sleepiness due to fatigue and it is the enemy on roads as statistics show 25% to 40% of accidents are fatigue related. Accidents caused by drowsiness are deadly but preventable if an intelligent system detects and alerts the driver using an alarm. For solving this real time problem of driver drowsiness detection and alert this project focuses on the technology of computer vision by using python, OpenCV and DLib. This project works by analyzing the facial features which drowsy drivers show such as yawning, eye closure, and head movements which can be used to measure the level of drowsiness. Alerts are divided according to level of drowsiness and actions are taken accordingly. System takes real time video input through a camera which monitors driver’s eyes and yawning frequency, if eyes are continuously closed for 8 frames, alert is given by an alarm to caution the driver, if the driver is still sleeping alert message notification is sent to its emergency contact.