A Traffic Sign Recognition qnd Speech-BasedFeedback Generation System to Assist Drivers

According to the World Health Organization (WHO), 1.3 million people loss their life annually as a result of road accidents. By alerting or assisting the driver while they are driving, information technology such as computer vision can play a significant part in reducing the accident rate. Keeping that in mind, in this article we presents one traffic sign recognition tool using deep neural network (DNN) models with speech-based feedback for vehicle drivers. The proposed system can give voice-based feedback to driver to direct or inform them to take the appropriate action while driving, such as “Drive slow, speed breaker ahead’, “Maximum Speed Limit is 80km/hr“, “School Ahead, drive slow”, “Don't take overtake” etc.