Design and Implementation of Multimedia Evidence Collection System Using Image Processing with IoT
Nagaraj B Kalligudd1, B. M. Reshmi2
1Nagaraj B Kalligudd, Department of CSE, Atria Institute of Technology, Bengaluru -560024, India.
2Dr. B. M. Reshmi, Department of AIML, Basaveshwar Engineering College, Bagalkote-587103, India.
Manuscript received on 11 July 2024 | Revised Manuscript received on 14 July 2024 | Manuscript Accepted on 15 July 2024 | Manuscript published on 30 July 2024 | PP: 27-32 | Volume-14 Issue-3, July 2024 | Retrieval Number: 100.1/ijsce.D363814040924 | DOI: 10.35940/ijsce.D3638.14030724
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Automatic Accident Detection, IoT, vehicle driven.
Scope of the Article: Computer Science and Its Applications