Using Machine Learning to Detect Vehicle Speed

Authors

  • Gnanaselvakumar A
  • Gokulakrishnan S
  • Jeyaram P
  • Tamilselvan D
  • Ganeshan K

Keywords:

Vehicle, Raspberrypi, Picamera, Internet, Measuring the speed, Controlling the accident.

Abstract

Number of Transport in the roadway rapidly grows. According to the latest NCRB (National Crime Records Bureau) report on accidental deaths, over 80% of fatalities in road accidents in India happened due to speeding. Vehicles speed detection is difficult. All the existing methodologies can be adoptable only for city roads but it is ineffective for highways.

Radar Speed Gun: It has wide signal beam divergence, individual vehicle cannot be targeted    Jammers are used.

Lidar Speed Gun:  Like radar, lidar is subject to cosine error effect. Jammers are used.

Downloads

Download data is not yet available.

Downloads

Published

2022-06-19

How to Cite

Gnanaselvakumar A, Gokulakrishnan S, Jeyaram P, Tamilselvan D, & Ganeshan K. (2022). Using Machine Learning to Detect Vehicle Speed . International Journal of Progressive Research in Science and Engineering, 3(6), 65–67. Retrieved from https://journal.ijprse.com/index.php/ijprse/article/view/623

Issue

Vol. 3 No. 6 (2022): June

Section

Articles

License

Copyright (c) 2022 Gnanaselvakumar A, Gokulakrishnan S, Jeyaram P, Tamilselvan D, Ganeshan K

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Most read articles by the same author(s)