Automatic Driver Drowsiness Detector Using Convolution Neural Networks

Yadlapalli Sainath; Beera Sumanth; Kandru Satish; Kaccha Sandeep; Janapamula Pavan Kalyan1

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Publication Date: 2022/07/29

Abstract: Nowadays most of the accidents are occurred due to Drowsiness of the vehicles drivers and also in most of countries are forcing the motor riders not to use the vehicles when the person is under drunken condition. But still in so many places ,the rules are being violates by the vehicle drivers. In order to overcome this problem, a smart and Automatic Driver Drowsiness Detector should be embedded into the vehicle. It will not turn on the vehicle and also alert through beep alarm when driver feels drowsy while Driving it is detected by the sensors and the sensors will slow down the vehicle.

Keywords: Drowsiness Detector, Sensors.

DOI: https://doi.org/10.5281/zenodo.6930527

PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT22JUL015.pdf

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