Paper Title
Road Accident Detection using Deep Learning
Article Identifiers
Authors
Rucha Ashishkumar Patil , Narayani shelke , Vaishnavi Metkari , Prof. Prachi Dhannawat
Keywords
DeepLearning,ConvolutionalNeuralNetwork, TensorFlow,Python,MongoDB.
Abstract
The global increase in road accidents presents a pressing issue, resulting in millions of fatalities annually and substantial economic burdens on societies worldwide. With big data applications proliferating across industries and research domains, leveraging diverse data sources such as social media, CCTV cameras, medical records has become pivotal. In this context, the focus shifts towards employing deep learning and CNN techniques for image analysis, specifically targeting road accident detection. We have used tech stacks for Frontend like Next json,Tailwind CSS,Typescript and Backend technologies like Flask,Python,MongoDB for the Website. Through experimenta- tion and evaluation, our model achieves an accuracy of 77.27 percent, demonstrating promising results for enhancing road safety. Future work involves refining the model with additional datasets and maintaining and modifying user-friendly interfaces for widespread deployment. This research contributes to the advancement of intelligent surveillance systems, offering valuable insights into accident detection and prevention.
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How To Cite (APA)
Rucha Ashishkumar Patil, Narayani shelke, Vaishnavi Metkari, & Prof. Prachi Dhannawat (May-2024). Road Accident Detection using Deep Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), d687-d696. https://ijnrd.org/papers/IJNRD2405378.pdf
Issue
Volume 9 Issue 5, May-2024
Pages : d687-d696
Other Publication Details
Paper Reg. ID: IJNRD_220979
Published Paper Id: IJNRD2405378
Downloads: 000121978
Research Area: Engineering
Country: Mumbai, Mahrashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2405378.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405378
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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