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 2
- Downloads 0
Formulation and quality characterization of soy milk based dietary ice cream with the incorporation of probiotics and utilization, of fruit waste as a functional ingredient
Ice cream production is a complex process involving various stages such as pasteurization, homogenization, aging, freezing, and packaging. The quality and characteristics of ice cream depend on several factors including...
A Machine Learning Approach to Identifying StrayDogs
The goal of "A Machine Learning Approach to Identifying Stray Dogs" is to create a comprehensive system that uses deep learning techniques to detect stray dogs, evaluate their health, and handle user complaints through t...
Malicious URL Behaviour Analysis System
Now a days, A phishing website is a common social engineeringmethod that mimics trustful uniform resource locators (URLs) and webpages. Phishing attacks are done in every field of real life such as Banking, Finance, Soci...
Unlocking Potential: Enhancing Parking Efficiency Through Automatic Vacancy Detection using IoT
Nowadays, the majority of individuals living in urban areas heavily rely on cars. Consequently, parking for automobiles has become a crucial aspect of our daily routines. Despite the prevalence of manual parking systems,...
Optimal Cascaded Terminal Sliding Mode Controller for third-order DC motor model
Applying Terminal Sliding Mode Control (TSM) for a third-order system is always challenging. Most of the cases, authors use a Cascaded type of TSM (CTSM) to control those systems. But with two separate phases of sliding...