Paper Title
Enhanced YoloV5-Based Model for Real-Time Detection of Smoking and Phone Use in Dangerous Driving
Article Identifiers
Authors
NAVITA BANSAL , DEEN MOHAMMAD
Keywords
Smart TV Interaction Rotating Display User Behavior Analysis TCL XESS Experimental Design
Abstract
This research focuses on the automatic detection of two perilous driving behaviors: smoking and engaging in phone conversations. At first, we create specialized datasets for these abnormal acts. In addition, we present a two-stage approach for identifying behavioral irregularities. The efficacy of the YoloV5 object detection network model in detecting small target objects is improved through the strengthening of its prediction head. We optimize the loss function for datasets that consist of categories that are mutually exclusive. The structure of the posture estimation network is enhanced by integrating the attention mechanism of the Coordinate Attention (CA) structure. This integration aims to improve the efficiency and accuracy of information processing. The assessment of the final outcome is conducted by employing Euclidean distance calculation, with the elbow joint angle acting as an additional criterion for judgment. The suggested model for identifying hazardous driving behaviors achieves a mean average precision of 93.4% at a speed of about 61 frames per second (FPS), resulting in an improvement of 8.2% in detection accuracy. This fulfills real-time demands and enhances precision while maintaining velocity.
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How To Cite
"Enhanced YoloV5-Based Model for Real-Time Detection of Smoking and Phone Use in Dangerous Driving", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.a905-a920, May-2024, Available :https://ijnrd.org/papers/IJNRD2405097.pdf
Issue
Volume 9 Issue 5, May-2024
Pages : a905-a920
Other Publication Details
Paper Reg. ID: IJNRD_220466
Published Paper Id: IJNRD2405097
Downloads: 000121150
Research Area: Engineering
Country: Ghaziabad, Uttar Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2405097.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405097
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
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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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IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.
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