click here to download project abstract/base paper
ABSTRACT
Introducing our groundbreaking project – the Driver Drowsiness Detection System, a technological marvel designed to prevent accidents and save lives on the road. Targeting students with a passion for cutting-edge technology and a commitment to safety, this project explores the application of artificial intelligence (AI) and computer vision in mitigating the risks associated with driver drowsiness.
In this innovative endeavor, we employ state-of-the-art algorithms to analyze facial expressions, eye movements, and other key indicators to detect signs of driver fatigue and drowsiness. As a critical component of road safety, this system not only alerts drivers in real-time but also contributes to accident prevention by promoting timely intervention.
Students are invited to delve into the fascinating world of computer vision, machine learning, and automotive safety. Our user-friendly interface provides an interactive learning experience, allowing students to understand the intricacies of drowsiness detection technology and its potential impact on road safety.
