VOICE BASED TRAFFIC SIGN BY USING DEEP LEARNING

VOICE BASED TRAFFIC SIGN BY USING DEEP LEARNING

Registration ID: IJNRD_221003

Published ID: IJNRD2405357

DOI: Click Here to Get

M Umesh Chandra , Dhanush T R , Dr. Kishore Anthuvan Sahayaraj K

This research paper proposes a novel approach for developing a voice-based traffic sign recognition system utilizing deep learning techniques. The system aims to enhance road safety by enabling drivers to receive real-time information about traffic signs through audio cues. The methodology involves preprocessing audio data collected from various traffic sign scenarios and feeding it into a deep learning model for training and classification. The performance of the proposed system is evaluated based on accuracy, speed, and robustness in recognizing a wide range of traffic signs under different environmental conditions. The results demonstrate the effectiveness of using voice-based cues for traffic sign recognition, providing an alternative or supplementary method to visual detection, particularly beneficial in situations where visual distractions or impairments occur. Overall, this study contributes to the advancement of intelligent transportation systems by introducing a new approach to enhance driver awareness and compliance with traffic regulations using voice-based technology. Keywords: voice-based, traffic sign recognition, deep learning, audio cues, road safety, intelligent transportation system.

Published Paper   E-Certificate

"VOICE BASED TRAFFIC SIGN BY USING DEEP LEARNING", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.d508-d511, May-2024, Available :https://ijnrd.org/papers/IJNRD2405357.pdf

Volume 9 Issue 5, May-2024

Pages : d508-d511

Paper Reg. ID: IJNRD_221003

Published Paper Id: IJNRD2405357

Downloads: 000121205

Research Area: Computer Science & Technology 

Country: Kanchipuram, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405357.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405357

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 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

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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