Survey of accident detection systems

EOI: 10.11242/viva-tech.01.04.054

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Ms. Raj Shah, Ms. Heena Shaikh, Ms. Devashish Shetty, Dr. Tatwadarshi Nagarhalli, "Survey of accident detection systems", VIVA-IJRI Volume 1, Issue 4, Article 54, pp. 1-8, 2021. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.


Vehicle accidents are by all accounts appalling and frightening occasions occurring which cause various deaths. As the number of accidents per year is increasing tremendously and so the lives affected by accidents. There are traditional ways to help the needy or the victim that is informing the right authority but needs assistance or help from others, but this tends to take ample of time and due to it could cost lives. So there is a need to develop an accident detection system that would detect and alert the proper authorities about the accident. The sudden assistance to the alert would in return lead to saving as many lives as possible. Many researchers have analyzed this technique using Convolutional neural network, HDNN, RCNN, etc. This paper will give us an overview of various techniques or methods that are used to detect accidents.


Accident detection system, Convolutional neural network, HDNN, RCNN.


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