Drowsiness Identification and Speed Ideling Using Machine Learning and Arduino

Authors

  • Saurabh Raj Student, Department of Information Technology, Greater Noida Institute of Technology, Greater Noida, India
  • Deepak Kanojia Assistant Professor, Department of Information Technology, Greater Noida Institute of Technology, Greater Noida, India
  • Shreyanshu Santosh Student, Department of Information Technology, Greater Noida Institute of Technology, Greater Noida, India
  • Prashant Rawat Student, Department of Information Technology, Greater Noida Institute of Technology, Greater Noida, India
  • Onitkar Sharma Student, Department of Information Technology, Greater Noida Institute of Technology, Greater Noida, India

Keywords:

arduino, battery, machine learning, moter, opencv

Abstract

The number of accidents in India are highest within the world as India features a large population and most of the transport is by road. The actual number of accidents happened could also be above documented. One person dies in every 4 min due to accident. Nowadays safety on roads has become a significant issue everywhere the planet. Accidents occur mainly during dawn and already dark. The accidents on highways are often prevented by employing a smart system. A smart system for accident prevention is a perfect concept for smart roads. It is a project with innovative ideas for safety on roads and highways. The data collected might be used and avoid most of the accidents.

Downloads

Published

13-07-2021

How to Cite

[1]
S. Raj, D. Kanojia, S. Santosh, P. Rawat, and O. Sharma, “Drowsiness Identification and Speed Ideling Using Machine Learning and Arduino”, IJRAMT, vol. 2, no. 7, pp. 28–30, Jul. 2021.

Issue

Section

Articles