Smart Drive Safe: Harnessing CNN for Enhanced Traffic Sign Recognition and Voice Alerts

Traffic signs secure their safety on the roads and the protection of others around them; everyone must be aware of traffic signs and other aspects of road safety. Traffic sign detection is a highly relevant computer vision problem that forms the basis of numerous applications in sectors like the aut...

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Bibliographic Details
Main Authors: Priya, D. Divya, Chinnasamy, P., Ayyasamy, Ramesh Kumar, Kiran, Ajmeera, A Jalil, Norazira Binti, Sangodiah, Anbuselvan
Format: Conference Proceeding
Language:English
Subjects:
Cameras
Convolutional neural network
datasets
Hardware
Image color analysis
Industries
Internet of Things
object detection
Protection
Real-time systems
Road safety
Shape
Speech recognition
Traffic Sign Recognition
Traffic signs
Voice alert
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Summary:Traffic signs secure their safety on the roads and the protection of others around them; everyone must be aware of traffic signs and other aspects of road safety. Traffic sign detection is a highly relevant computer vision problem that forms the basis of numerous applications in sectors like the automotive industry. Between classes, traffic signs differ widely in terms of colour, shape, and the use of pictograms or text. The project's classification of traffic signs in an image into various categories is based on a deep neural network model. IoT devices that capture traffic signs and notify users of them are used to build a model.
ISSN:2996-5357
DOI:10.1109/ICESC60852.2024.10690129