Road Sign Recon: A Traffic Sign Scanner Web Site with CNN Integration

Road sign recon is a Web site that helps to improve traffic security by leveraging the power of web traffic detection, computer vision, and artificial intelligence. This web-based application allows users to find and analyze various traffic signs with great accuracy and speed. It reduces the accidents mainly which is caused by invisibility of the traffic signs. Using training data generated from images of train signs, we can overcome the problem of identifying traffic sign data that differs by country and region. By using a well-designed convolutional neural network (CNN), we have created this site that improves the high truth discovery and training and certification process yield. This results in fewer accidents and helps drivers to identify the traffic signs that are far away from the sight. The main aim of our Web site is to help drivers in traffic sign identification and to reduce accident rate without any additional application. We introduced this site with CNN to overcome the disadvantages in the existing model, also to accelerate traffic detection performance, and at the same time reduce traffic hits.