INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
T Venkata Sumanth
, D Vinod Reddy , P Leela Balaji , Kanhaiya Kumar
Unique Id:
IJSDR2304237
Published In:
Volume 8 Issue 4, April-2023
Abstract:
Traffic Sign Recognition (TSR) describes the characteristics and requirements and also difficulties between the road sign identification and recognition of the road signs. It shows the convolutional neural network technique used for the verification and classification of road signs. The paper introduces a traffic sign detection and recognition system that accurately estimates the situation and exact boundary of traffic signs using a convolutional neural network (CNN). during this Python project, we'll build a deep neural network model which will classify traffic signs present within the image into different categories. With this model, we are ready to read and understand traffic signs, which is a really important task for all autonomous vehicles.
Keywords:
Traffic Sign Recognition (TSR), convolutional neural networks (CNN), Deep learning
Cite Article:
"TRAFFIC SIGN RECOGNITION USING DEEP LEARNING", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1486 - 1489, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304237.pdf
Downloads:
000336256
Publication Details:
Published Paper ID: IJSDR2304237
Registration ID:205446
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 1486 - 1489
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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