Driver Safety System Using Machine Learning

Authors

  • Roopali R Savant, Shivani Santhosh Nayak, Shoiba Azam, Udayarani

Abstract

The main idea behind the implementation of this project is to prevent vehicle accidents which is common occurrence in today’s world. The goal of this paper is to design a non intrusive system which detects lethargy (drowsiness) in the driver using the latest technology and to overcome the electrode system which was attached to the drivers in earlier days to detect drowsiness state in driver’s eyes. The earlier technology would irritate, annoy and would disturb drivers while driving. So as to eliminate this method, a new friendly method is being implemented. This vision based non intrusive system is developed for detecting whether the driver’s eyes are open or closed in real time. If the driver’s eyes stay closed for a thresholded time, then the sound module alerts driver’s as well as any possible passengers to prevent possible accidents. The project is developed using OpenCV, Dlib ML algorithm, and python programming language.

 Keywords: Dlib, Lethargy, Non-Intrusive System, Open CV, Python Sound Module

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Published

2020-05-16

Issue

Section

Articles