Road Accident Prevention by Detecting Drowsiness & Ensure Safety Issues

Abstract

Driver's drowsiness detection during driving is a car safety technology that helps to prevent accidents caused by the driver getting drowsy. Drinking alcohol and seat-belts not being fastened are also other reasons for road accidents. In this paper, the design of a system that can alert the drivers and stopping them from driving while being in a drowsy state to mitigate road accidents have been presented. The system is also focused on ensuring safety issues like fastening the seatbelt, preventing unauthorized access, preventing driving while being in a drunk state, etc. The implemented system uses Artificial Intelligence-based advanced algorithms to detect the expressions of the driver and can calculate the rate of the driver's drowsiness. The system detects drowsiness by extracting the `Eye Aspect Ratio' (EAR) calculation of facial landmark localization and the authentication is verified by incorporating with the facial recognition technology. The outcome of this paper can be stated that the system ensures the safety and security of both the driver and the vehicle by preventing the driver from falling asleep while driving. In addition, sending the location of the car at the time of any kind occurrence of accidents is another outcome of this research work.