INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
– In recent years, advancements in computer vision and deep learning have paved the way for various
applications in traffic management and safety. This paper presents a novel approach for real-time recognition of
traffic signboards using Convolutional Neural Networks (CNNs) and an accompanying voice alert system. The
proposed system utilizes a CNN architecture to accurately detect and classify traffic signs from input images
captured by a camera mounted on a vehicle. Upon detection, the system generates voice alerts to notify the driver
about the recognized traffic signs, enhancing situational awareness and promoting safer driving practices.
Experimental results demonstrate the effectiveness and efficiency of the proposed system in accurately recognizing
traffic signs across diverse environmental conditions
"Traffic Sign Board Recognition And Voice Alert System Using CNN", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.b435-b441, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404156.pdf
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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
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