Smart system for driver drowsiness and alerting
Priyanka Raninga, Bhautik Adalja, Atit Patel, Dr. Falgun Thakkar, Dr. Kavindra Jain
Driver fatigue, Drowsiness detection techniques, Image processing, Facial expressions, Eye states, Head poses, Algorithm matching
Driver drowsiness has been one of the major causes of road accidents and can lead to severe physical injuries, deaths and significant economic losses. We decided to take a step towards safety and reduce accidents due to drowsiness by developing a prototype drowsiness detection system. By this prototype we intend to reduce accidents caused due to drowsiness. Our System is based on capturing real time video analysis and by using image processing those images will be scanned and based upon certain threshold results the drowsy condition will be detected. Using all these algorithms, the data obtained will be compared and if the drowsy condition is detected; the alarm will alert the driver and also text message related to drowsy condition will be sent to respective family members of the driver at the same time. By integrating such onboard system in every driving vehicle will definitely lead to 75% reduce in road accidents due to drowsy condition of a driver.
Article Details
Unique Paper ID: 149758

Publication Volume & Issue: Volume 7, Issue 1

Page(s): 537 - 541
Article Preview & Download

Share This Article

Conference Alert


AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

SWEC- Management


Last Date: 7th November 2021

Go To Issue

Call For Paper

Volume 8 Issue 4

Last Date 25 September 2021

About Us enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on

Social Media

Google Verified Reviews

Contact Details