Driver Drowsiness Detection System Using Machine Learning
Journal Title: International Journal for Modern Trends in Science and Technology - Year 2024, Vol 10, Issue 9
Abstract
Today the main problem faced due to accidents are driver state analysis and condition of driver. Drowsy Driving can be extremely dangerous, a lot of road accidents are related to the driver falling asleep while driving and subsequently losing control of the vehicle. However, initial signs of fatigue and drowsiness can be detected before a critical situation arises. Driver drowsiness detection is a car safety technology that helps to prevent accidents caused by driver getting drowsy. In this project, we aim to design and develop driver drowsiness detection and use image processing for detecting whether the driver is feeling fatigued and sleepy, using image processing we detect the eyes of the person and detect for how much time the eyes are closed of the driver if the eyes are closed the system will sound an alert thus alerting the driver and waking him up, preventing an accident. This proposed system implemented using Raspberry pi4 model. If driver getting drowsy feel automatically alerts through vibration motor to awake sleep. This tracking system is composed of a GPS receiver, Microcontroller and a GSM Module. The Microcontroller processes this information and this processed information is sent to the user/owner using GSM modem. The presented application is a low-cost solution for accident prevention using Alcohol detection for monitoring adolescent drivers by their parents as well as in car tracking system applications
Authors and Affiliations
Y Nagendra Kumar, Shaik Adhil, A. Karthikeya, G. Jyothi Sai, M V V D S S Phaneendra
Keywords
Related Articles
- EP ID EP747892
- DOI https://doi.org/10.46501/IJMTST1009013
- Views 73
- Downloads 0
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