Accident Prevention System using Driver Drowsiness Detection


Authors : B.Lakshmi Priya, M.Prithviraj, C.Baraniraj, P.Duraikannu.

Volume/Issue : Volume 3 - 2018, Issue 7 - July

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://goo.gl/mAf3nG

Thomson Reuters ResearcherID : https://goo.gl/3bkzwv

According to the recent survey of National Highway Traffic Safety Administration, United States, 30% of the car accidents take place due to driver drowsiness or fatigue. This project addresses this issue by continuously monitoring the drowsiness of the driver with the help of heartbeat sensor and night vision camera. Heartbeat sensor is used to find the variation in heart beat due to drowsiness and night vision camera is used to monitor the eye blinking rate. The driver’s heartbeat count and the number of eye blinks are continuously monitored for a period of 2 minutes using a heart beat sensor and night vision camera respectively. From the measured values, the proposed system mathematically manipulates the drowsiness and fatigue level of the driver. If the driveris found to be drowsy, an alarm by means of a buzzer is given to the driver to alert him not to sleep. Additionally, in case of accidents the information about the location is sent to the ambulance server through the IOT, by the virtue of Vibration Sensor.

Keywords : Heartbeat, Eye Blink, Vibration Sensor, Drowsiness.

CALL FOR PAPERS


Paper Submission Last Date
30 - April - 2020

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe