Authors: Mr Kanhu Panigrahi ¹, Mr Aditya Singh ², Dr. Jasbir Kaur' ³, Ms Sandhya Thakkar ⁴
Abstract: In today's world, a significant number of car accidents occur due to drivers' lack of attention and alertness, commonly known as driver drowsiness. This poses a serious threat to human lives and necessitates effective measures for detection and response. Various methods have been developed, including those based on vehicle motion and driver behavior. However, some of these methods require expensive sensors and handle extensive data. This research aims to address these limitations by proposing a real-time drowsiness detection system that is both accurate and practical. The system utilizes a webcam to capture and record the driver's facial expressions, employing specific techniques to analyse movement in each frame. By comparing calculated values with predefined thresholds, the system can effectively detect drowsiness. Additionally, the system includes alcohol detection capabilities using gas and ultrasonic sensors to prevent accidents. Importantly, this model system is designed to be compatible with all types of vehicles.
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