Traffic Signs Recognition using CNN and Keras

Traffic sign recognition and detection are critical in expert systems for effectively recognizing traffic signs along the road, such as left hair pin bend, parking lot, minimum speed, no waiting speed. Today's India needs traffic recognition to alert people on various signs of traffic, prevent accidents, and protect drivers along the roadway. This case of the traffic sign recognition scenario is proceeding using various techniques like deep learning, machine learning, artificial intelligence, etc. This study discusses how deep learning techniques are used to predict traffic signs. The various algorithms used for implementation are CNN and Keras. The performance of implemented algorithms calculated on accuracy as well as the ability to identify and classify traffic signs used along the roadway in real time.