Smart system for driver drowsiness and alerting
Author(s):
Priyanka Raninga, Bhautik Adalja, Atit Patel, Dr. Falgun Thakkar, Dr. Kavindra Jain
Keywords:
Driver fatigue, Drowsiness detection techniques, Image processing, Facial expressions, Eye states, Head poses, Algorithm matching
Abstract
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
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Volume 7 Issue 3

Last Date 25 August 2020

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