Design and Implementation of Multimedia Evidence Collection System Using Image Processing with IoT-Reference-Cited by-同舟云学术

Design and Implementation of Multimedia Evidence Collection System Using Image Processing with IoT

Published:2024-07-30 Issue:3 Volume:14 Page:27-32
ISSN:2231-2307
Container-title:International Journal of Soft Computing and Engineering
language:
Short-container-title:IJSCE

Author:

Kalligudd Nagaraj B, ,Reshmi Dr. B. M.,

Abstract

Every day for many reasons, a lot of life's lost in accidents. To solve the causes of the accident, essentially it monitors how, when and where a vehicle is being driven, and records the data such as location and image soon after the accident, which is later used for forensics. An Automatic Accident Detection (AAD) algorithm will be developed to achieve that task; suitable thresholds are defined to determine the occurrence of accidents. The work in this paper is on implementation using concepts of IoT with embedded systems Raspberry Pi and image processing techniques.

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Reference26 articles.

1. Prem Kumar Bhaskar and Suet-Peng Yong "Image Processing Based Vehicle Detection and Tracking Method" Department of Computers and Information Sciences Universiti Teknologi PETRONAS Seri Iskandar, 31750, Perak, Malaysia, 978-1-4799-0059-6/13/$31.00 ©2014 IEEE

2. Sara Saravi, Eran A. Edirisinghe "Vehicle Make and Model Recognition in CCTV Footage" Department of Computer Science, Loughborough University, Loughborough, United Kingdom. 978-1-4673-5807-1/13/$31.00

4. World Health Organization, "Road traffic accidents," Last accessed on 01 May 2017. [Online]. Available: http://apps.who.int/iris/bitstream/ 10665/39723/1/WHO PHP12.pdf

5. H. Loimer and M. Guarnieri, "Accidents and acts of God: A history of the terms," American Journal of Public Health, vol. 86, no. 1, pp. 101- 107,1996. https://doi.org/10.2105/AJPH.86.1.101