UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 7
July-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2207399


Registration ID:
405983

Page Number

d758-d763

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Title

AI Based Traffic Control System

Abstract

The suggested AI BASED TRAFFIC CONTROL SYSTEM can replace the current traffic management system and is extremely scalable, compatible, easy to upgrade, and it can greatly increase traffic clearing. Accidents due to congestion have wasted a lot of time and polluted the environment are some of the transportation worries. The existing system may prove to be ineffective when vehicle usage rises quickly. The suggested solution uses computer vision software and Raspberry Pi 3B+ for density-based traffic control. Computer vision uses AI to detect vehicles with unique identity and records are created. Based on the vehicle detection, the count of vehicles is updated and given to the traffic system.

Key Words

Raspberry Pi 3B+, Computer Vision, Artificial Intelligence, Vehicle Detection

Cite This Article

"AI Based Traffic Control System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.d758-d763, July-2022, Available :http://www.jetir.org/papers/JETIR2207399.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"AI Based Traffic Control System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppd758-d763, July-2022, Available at : http://www.jetir.org/papers/JETIR2207399.pdf

Publication Details

Published Paper ID: JETIR2207399
Registration ID: 405983
Published In: Volume 9 | Issue 7 | Year July-2022
DOI (Digital Object Identifier):
Page No: d758-d763
Country: Bangalore, Karnataka, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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