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Street signs are the unsung heroes of our roadways, silently guiding and instructing drivers to ensure the safe and efficient movement of vehicles. However, despite their critical role, accidents frequently occur when drivers either fail to notice these signs or misinterpret their meaning. The proposed Traffic Sign Recognition and Alert System represents a significant leap forward in addressing these issues and elevating road safety to new heights. This innovative device leverages advanced technology to recognize traffic signs and promptly alert drivers through the vehicle's speakers, enabling them to make informed decisions and contribute to a safer road environment for all. The Convolutional Neural Network (CNN) is a deep learning technology built to excel at image identification tasks It is the brain of this ground-breaking system. The German Traffic Sign Benchmarks Dataset provided the dataset, which is considerable at 51,900 pictures of traffic signs.

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Real Time Traffic Sign Detection Using Deep Neural Networks

  • 会议论文

  • 发表日期：

    2026年

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  • P. Indrani,
  • Ganesh B. Regulwar,
  • Md Sohel Ahmed,
  • K. Sneha Reddy,
  • Vaibhav,
  • Mohd Salahuddin

摘要

Street signs are the unsung heroes of our roadways, silently guiding and instructing drivers to ensure the safe and efficient movement of vehicles. However, despite their critical role, accidents frequently occur when drivers either fail to notice these signs or misinterpret their meaning. The proposed Traffic Sign Recognition and Alert System represents a significant leap forward in addressing these issues and elevating road safety to new heights. This innovative device leverages advanced technology to recognize traffic signs and promptly alert drivers through the vehicle's speakers, enabling them to make informed decisions and contribute to a safer road environment for all. The Convolutional Neural Network (CNN) is a deep learning technology built to excel at image identification tasks It is the brain of this ground-breaking system. The German Traffic Sign Benchmarks Dataset provided the dataset, which is considerable at 51,900 pictures of traffic signs.