Driver Drowsiness Detection and Alert System Using Deep Learning Efficient Model With Computer Vision

Abstract

The increasing number of road accidents attributed to driver drowsiness poses a significant threat to road safety worldwide. To overcome this issue, a real-time driver drowsiness detection and sound alert system using AI Techniques is proposed. This system is designed to monitor a driver's facial and eye movements to accurately assess their level of drowsiness and promptly alert them, thereby enhancing road safety and reducing accidents. The proposed system employs a combination of facial recognition, and machine learning algorithms to continuously analyze the driver's state. A camera placed within the vehicle captures real-time images of the driver's face and eyes, which are then processed and analyzed by our computer vision algorithms. Additionally, the details of the driver will be stored in a database using a website to monitor the performance of the drivers by the owners of the transport head.