Traffic Sign Detection and Recognition using Deep Learning

The development of intelligent vehicles, which directly impacts the adoption of driving behaviours, depends on the detection and recognition of traffic signs. Accurately identifying traffic signs has become increasingly challenging under normal environmental circumstances because of the varying light, complex backgrounds, and ageing of the signs. Creating a Deep Learning algorithm to recognize traffic signals and highlight the signs is the primary goal of this paper. Here, we used an image annotation tool to separate the traffic signs from the images before putting them through the modified efficient net training algorithm to create the model files. The traffic or road sign is identified after the training process, and the sign's name is displayed. As a result, this work effectively guides autonomous vehicles, highlights traffic signs, and predicts traffic signals.