UGC Approved Journal no 63975(19)

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

Volume 10 Issue 3
March-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2303543


Registration ID:
510274

Page Number

f354-f360

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Title

TRAFFIC SIGN BOARD RECOGNITION AND VOICE ALERT SYSTEM USING CONVOLUTIONAL NEURAL NETWORK

Abstract

Abstract: Road signs are crucial for ensuring a safe and orderly flow of traffic. Ignorance in failing to read traffic signs correctly is a key contributor to auto accidents. The suggested system assists in identifying traffic signs and alerting the driver through speaker so that he or she may make the appropriate selections. The Convolutional Neural Network (CNN) used in the proposed system's training assists in the detection and categorization of images of traffic signs. To increase the accuracy of a given dataset, a set of classes are created and trained. We used the German Traffic Sign Benchmarks Dataset, which includes 51,900 images of traffic signs in about 43 categories. Around 98.52 percent of the execution was accurate. Following the detection of the sign by the system, a voice alert is sent through the speaker notifies the driver. The proposed system also has a section where drivers of moving vehicles are informed of nearby traffic signs so they are aware of the rules they should follow. The system's goal is to protect the driver, passengers, and pedestrians from harm.

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"TRAFFIC SIGN BOARD RECOGNITION AND VOICE ALERT SYSTEM USING CONVOLUTIONAL NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.f354-f360, March-2023, Available :http://www.jetir.org/papers/JETIR2303543.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

"TRAFFIC SIGN BOARD RECOGNITION AND VOICE ALERT SYSTEM USING CONVOLUTIONAL NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppf354-f360, March-2023, Available at : http://www.jetir.org/papers/JETIR2303543.pdf

Publication Details

Published Paper ID: JETIR2303543
Registration ID: 510274
Published In: Volume 10 | Issue 3 | Year March-2023
DOI (Digital Object Identifier):
Page No: f354-f360
Country: KARUR, TAMIL NADU, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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