Driver Monitoring System

Driver Monitoring System

Authors:

Mrs. Belji T – Assistant Professor of CSE Dept. KSSEM [Tathi Reddy Giridhar Reddy – giridhar55@gmail.com Kiran Kumar N – kirankumar90083@gmail.com Vinay M – vinayvianvinay@gmail.com

Uday L – udayudu21@gmail.com

Students of 8th Sem CSE Dept. KSSEM, Bengaluru, India]

Abstract
The Driver Monitoring System (DMS) is an innovative solution aimed at reducing road accidents caused by driver fatigue, distraction, and other unsafe behaviors. Leveraging advanced technologies like Convolutional Neural Networks (CNNs) and YOLO object detection models, the system monitors critical parameters such as eye movements, blinking frequency, and facial expressions. This real-time analysis enables the detection of drowsiness, distractions, and risky behaviors, issuing timely alerts to ensure driver safety. CNNs, with their superior feature extraction and classification capabilities, outperform traditional methods by offering high accuracy, robustness to variations, and scalability. This project demonstrates the efficacy of integrating CNNs into DMS, paving the way for safer driving environments and significant advancements in automotive safety.