Smart Navigation: Real-Time Traffic Sign Recognition Using CNNs
Authors:-Mr. R.V. Viswanathan, K. Ashik, M.Chandru, R. Gokulnath
Abstract- In today’s dynamic road environments, ensuring driver safety and efficient navigation is paramount. This paper introduces an innovative method to tackle the challenge by integrating Convolutional Neural Networks (CNNs) for real-time traffic sign identification and auditory notifications. The system provides comprehensive support for drivers in understanding traffic signs. Traffic signs are crucial for delivering vital information to drivers, but factors like poor weather conditions and driver distractions can hinder quick recognition. Our CNN-based solution addresses these issues by precisely detecting and categorizing different types of traffic signs, such as warning, prohibition, and informational signs, across various environmental settings. Furthermore, our system enhances driver awareness by providing auditory alerts alongside visual cues. When a TTS library is integrated, recognized signs can be translated into clear spoken alerts, providing drivers with timely and useful information. Our method has the potential to improve traffic safety, provide drivers with on-the-spot decision support, and further the development of intelligent transportation systems.
