Traffic Sign Recognition for Automated Vehicles using ML Algorithm

The categorization and understanding of traffic signs is crucial for the development of autonomous vehicles. While driving, paying attention to the traffic signs posted on the highways is crucial. Traffic sign classification is used to recognize and categorize traffic signs in order to alert and warn a vehicle in advance to prevent breaking the law. Traffic signals can be misinterpreted by drivers, which can lead to accidents and car damage. To deal with these sorts of challenges, this research study presents the idea of Traffic Sign Detection and Classification. These days, convolutional neural networks (CNN) are used to perform an increasing number of object identification tasks. The indicators in the images are first detected and recognized after it gets processed. These two processes take place simultaneously. Then the system generates output that promptly and automatically warn the driver. Additionally, it results in the design and development of a smart car.