Authors: Mayura Manawadu, Udaya Wijenayake

Published on: April 11, 2024

Impact Score: 8.2

Arxiv code: Arxiv:2404.07807

Summary

• What is new: Introduction of a voice-assisted real-time traffic sign recognition system that narrates detected signs to the driver.
• Why this is important: The need for real-time and accurate traffic sign detection to improve road safety.
• What the research proposes: A system that uses a trained Convolutional Neural Network for sign detection and recognition, coupled with a text-to-speech engine for voice narration.
• Results: The developed system efficiently detects and recognizes traffic signs in real-time and narrates them to the driver.

Technical Details

Technological frameworks used: Convolutional Neural Network (CNN) for detection and recognition, text-to-speech engine for narration.

Models used: Efficient CNN model tailored for real-time traffic sign detection.

Data used: Benchmark dataset for training and validation.

Potential Impact

Automotive industry, especially makers of autonomous vehicles and advanced driver-assistance systems (ADAS), traffic management technology providers.

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