ZoneWatch-A Deep Learning Approach to Vehicle Zone Recognition and Speed Management

ZoneWatch-A Deep Learning Approach to Vehicle Zone Recognition and Speed Management

Registration ID: IJNRD_218584

Published ID: IJNRD2404589

DOI: Click Here to Get

C.SURYA , T.JEEVA , V.KANIMOZHI , M.NANDHINI , K.SOFIYA

Artificial intelligence, Convolutional neural network, microcontroller, traffic monitoring, segmentation, vehicles, zone recognition.

This study has been undertaken to focuses on leveraging deep learning approaches, specifically Convolutional Neural Networks (CNN), to enhance the efficiency of a vehicle zone recognition system tailored for critical areas such as schools, hospitals, and accident-prone zones. The proposed system aims to integrate artificial intelligence (AI) with a microcontroller to regulate vehicle speed dynamically. By implementing CNN algorithms, the model enhances the accuracy and robustness of object recognition within designated zones, contributing to improved safety measures. The incorporation of a microcontroller ensures real-time control of vehicle speed, facilitating a responsive and adaptive system that prioritizes safety in sensitive areas. This study not only addresses the technical aspects of deep learning but also explores the practical implications of deploying an AI-enhanced system for improved traffic management and overall public safety.

Published Paper   E-Certificate

"ZoneWatch-A Deep Learning Approach to Vehicle Zone Recognition and Speed Management", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.f736-f741, April-2024, Available :https://ijnrd.org/papers/IJNRD2404589.pdf

Volume 9 Issue 4, April-2024

Pages : f736-f741

Paper Reg. ID: IJNRD_218584

Published Paper Id: IJNRD2404589

Downloads: 000121130

Research Area: Computer Science & Technology 

Country: perambalur, Tamilnadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404589.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404589

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

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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