Accident Prevention in Fog Environment

Authors

  • Dr. Madhur Jain  Assistant Professor, Department of Information Technology, Bhagwan Parshuram Institute of Technology, Delhi, India
  • Rajat Gupta  Information Technology, Bhagwan Parshuram Institute of technology, Delhi, India
  • Onkar Manjua  Information Technology, Bhagwan Parshuram Institute of technology, Delhi, India
  • Hritik Kesharwani  Information Technology, Bhagwan Parshuram Institute of technology, Delhi, India
  • Nandita Upreti  Information Technology, Bhagwan Parshuram Institute of technology, Delhi, India

DOI:

https://doi.org/10.32628/CSEIT2390121

Keywords:

Ultrasonic Sensor, Buzzer, L.E.D, Accidents, Fog

Abstract

Number of accidents are increasing in foggy weather, to prevent this there should be a system to detect an object beforehand in fog. Object detection in foggy weather can be a challenging task due to the reduced visibility and the limitations of traditional vision-based methods. In this article, we introduce a way for object detection using Arduino microcontroller and an Ultrasonic sensors. It is designed to alert the driver to any objects in front of the vehicle via a buzzer and LED. To make sure this, we connected an ultrasonic sensor to identify the object and also the distance from the driver and alert the driver about the object.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2023-02-28

Issue

Volume 9, Issue 1, January-February-2023

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

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

How to Cite

[1]
Dr. Madhur Jain, Rajat Gupta, Onkar Manjua, Hritik Kesharwani, Nandita Upreti, " Accident Prevention in Fog Environment" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 1, pp.117-120, January-February-2023. Available at doi : https://doi.org/10.32628/CSEIT2390121