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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19482
Article Published : 8050
Total Authors : 21282
Total Reviewer : 770
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| Paper Title: | Traffic Sign Analysis Using Cnn And Keras |
| Authors Name: | Dantuluri Harshita , Indupuri Vyshnavi , Gadhipalli Vanaja , Avala Prakash |
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| Author Reg. ID: |
IJRTI_187643
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| Published Paper Id: | IJRTI2307094 |
| Published In: | Volume 8 Issue 7, July-2023 |
| DOI: | |
| Abstract: | Traffic signs can be seen everywhere in daily life. Traffic signs are symmetrical, and traffic sign detection is easily affected by distortion, distance, light intensity and other factors, which also increases the potential safety hazards of assisted driving in practical application. In order to solve this problem, a symmetrical traffic sign detection algorithm CNN for complex scenes is proposed. The algorithm optimizes the delay problem by reducing the computational overhead of the network, and speeds up the speed of feature extraction. While improving the detection efficiency, it ensures a certain degree of generalization and robustness, and enhances the detection performance of traffic signs in complex environments, such as scale and illumination changes. In this Deep Learning project, we will build a model for the classification of traffic signs available in the image into many categories using a convolutional neural network (CNN) and Keras library. |
| Keywords: | Object detection, Object Recognition, Convolution Neural Networks (CNN), keras. |
| Cite Article: | "Traffic Sign Analysis Using Cnn And Keras", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 7, page no.620 - 626, July-2023, Available :http://www.ijrti.org/papers/IJRTI2307094.pdf |
| Downloads: | 000205187 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2307094
Registration ID:187643
Published In: Volume 8 Issue 7, July-2023
DOI (Digital Object Identifier):
Page No: 620 - 626 Country: Vizianagaram, Andhra Pradesh, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2307094 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2307094 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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