DRIVER DROWSINESS ALERT DETECTION FOR VEHICLE ACCELERATION USING DEEP LEARNING

DRIVER DROWSINESS ALERT DETECTION FOR VEHICLE ACCELERATION USING DEEP LEARNING
Author(s):
Shelke Nilkanth Balasaheb, Khebade Akshay Ramesh, Kardile Kiran Satish, Kolase S.R.
Keywords:
driver safety; drowsiness detection; Image processing; alert system, etc.
Abstract
Many people find it difficult to relax and get a decent night's sleep at night. Drivers who are sleep-deprived are more probable to fall asleep behind the wheel, growing the likelihood of an accident. The driver assistance system is presented in this system with the goal of reducing the frequency of accidents caused by driver fatigue and thereby improving road safety. Based on optical information and artificial intelligence, the proposed system treats the automatic identification of facial and driver fatigue. The proposed system estimates the distance between the eye iris and neck angle by locating, tracking, and analyzing both the driver's face and eyes. The location of the eye and neck, as well as the activities of those being seen, are all taken into account. It is used to determine how far the eye iris angle is from the neck angle in the eye and neck angle-based approach.
Article Details
Unique Paper ID: 155051 Publication Volume & Issue: Volume 8, Issue 12 Page(s): 1201 - 1204
Article Preview & Download

Share This Article

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org