Detection of Unsafe Driving and Drivers Behaviour Monitoring System

Abstract

                Vehicle crashes have the potential to cause significant financial and human losses, so driving safety is a major concern. Intelligent driver monitoring systems that can identify and categorize risky driving behavior in real-time have been made possible in recent years thanks to advancements in computer vision and machine learning techniques. In this paper, we propose a driver monitoring and unsafe driving detection system that uses video to record data on driver behavior. When unsafe driving patterns are identified, our system uses machine learning algorithms to classify driving behaviors, such as whether or not the eyes are closed, and to generate alerts. Our findings demonstrate that our system can be a useful tool for enhancing driving security and lowering the risk of collisions. We think that using our system asvaluable tool for enhancing driver safety and assisting law enforcement in enforcing safe driving practices.