Traffic Sign Detection and Recognition Based on Convolutional Neural Network

As autonomous vehicles are developing and maturing the technology to implement domestic vehicles. The critical technological problem for self-driving is traffic sign detection recognition. A recognition system essential an intelligent transportation system. digital image processing techniques object extraction of features from visual objects a huge process include many conversions pre-processing steps. deep learning-based convolutional neural network (CNN) model one suitable approach This has overcome significant shortcomings traditional approaches. paper proposed identification design strategy implemented using Tensorflow framework in google colab environment. experiment applied on publicly available data sets. defined convolution based experimental results achieved 94.52% 80.85% precision recall respectively. Improving seep identifying appropriate addressed encoders transformers.