Drowsiness Detection System for Drivers Using Image Processing Technique

Abstract

These days, drowsy driving plays a significant role in a lot of road incidents. Car accidents can be avoided by implementing a system with alarm to alert drowsy drivers in order to focus on the road and help them to stay focused. This paper has developed to detect driver drowsiness and trigger them with an alarm to alert drivers in order to prevent accidents, and reduce loss of lives and sufferings. Several techniques have been studied and analyzed to conclude the best technique with highest accuracy to detect the driver drowsiness. The proposed method utilizes Python, dlib, and OpenCV to build a real-time framework that uses a computerized camera to monitor and process the driver's eye and yawn. A camera will be utilized so that it concentrates towards monitoring the driver's eye and yawn. A trigger is issued to alert the driver. The proposed system acknowledges whether thedriver is sleepy and it gives a caution alert, when his eyes and yawn are discovered close together for a particular measure of casing.