Paper Key : IRJ************112
Author: Monark Modh,Siddhi Modi,Sayali Bhole,Sagar Bhoir,Ashraf Siddiqui
Date Published: 01 Apr 2024
Abstract
The main idea of the project is to create an uninterrupted system that can detect everyone's fatigue and give timely warnings. Drivers who don't rest regularly on long trips can easily fall into a state of sleep that they often don't realize early enough. Research experts have found that nearly a quarter of major crashes are caused by drowsy drivers needing a break, meaning fatigue leads to crashes. The system will use cameras to monitor the driver's eyes, and by developing an algorithm, we can detect signs of driver fatigue early to prevent the driver from falling asleep. Therefore, this project will help detect driver fatigue in advance and provide alerts in notifications and pop-ups. Additionally, notifications can be disabled manually instead of being used. For this, a registration box will be created with simple mathematics and warnings will be limited when the correct answer is given. Drivers may also not respond properly to conversations when they are drowsy. We can determine this by graphing time. If all three variables indicate the possibility of fatigue at any time, a warning signal in the form of letters and sounds is given. This will directly indicate fatiguefatigue which can be used to document the driver's performance. Key-words: Drowsiness, Supervised learning, Unsupervised Learning, Machine Learning, user-friendly interface