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Accident Scene Image Identification Technique using Convolutional Neural Network

by Omogbhemhe M.I., Odegua R.O.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 32
Year of Publication: 2021
Authors: Omogbhemhe M.I., Odegua R.O.
10.5120/ijca2021921706

Omogbhemhe M.I., Odegua R.O. . Accident Scene Image Identification Technique using Convolutional Neural Network. International Journal of Computer Applications. 183, 32 ( Oct 2021), 5-7. DOI=10.5120/ijca2021921706

@article{ 10.5120/ijca2021921706,
author = { Omogbhemhe M.I., Odegua R.O. },
title = { Accident Scene Image Identification Technique using Convolutional Neural Network },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2021 },
volume = { 183 },
number = { 32 },
month = { Oct },
year = { 2021 },
issn = { 0975-8887 },
pages = { 5-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number32/32135-2021921706/ },
doi = { 10.5120/ijca2021921706 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:18:31.271560+05:30
%A Omogbhemhe M.I.
%A Odegua R.O.
%T Accident Scene Image Identification Technique using Convolutional Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 32
%P 5-7
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Building intelligent software that can effectively detect accident scene with the help of Google map has suffered set back because of the poor ability of the currently used software to effectively detect, identify and classify accident scene images from non accident scene images. Hence there is need for a better technique of implementing this software. In this paper, Convolutional neural networks (CNN) which is a part of deep learning algorithm was used to provide a better classification technique that any software to be developed for the purpose of detecting accident scene image can adopt. The algorithm was tested on 4000 accident scene images with other kind of images (cats and dogs) by adopting models of other researchers. In this paper, classification accuracy and Mean Squared Error (MSE) were used to evaluate the algorithm in identifying accident scene images accurately. The result was further presented using a graph of MSE against a number of trained epochs. The result of the experiment shows accuracy in the image classification and identification.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Image Identification Accident Scene Convolutional Neural Network Classification Algorithm