Traffic Sign Recognition and Voice Alert System Using CNN for Intelligent Assistance

Abstract

Road signs are crucial for a safe and efficient traffic flow. Negligence in observing and misinterpreting traffic signboards is a key contributor to traffic accidents. The suggested technology aids in the recognition of traffic signs and provides the driver with a voice alarm via the speaker so that prompt decisions can be made. The system uses a Convolutional Neural Network (CNN) for traffic sign recognition and classification in addition to OpenCV for picture processing. To increase the accuracy of recognition, a set of traffic sign classes are established and trained. A voice alarm is produced and sent through a speaker to alert the driver when a traffic sign is detected. To help the driver keep informed of the regulations to follow along the road, the device also has a feature that notifies them of any nearby traffic signs. By reducing human error in traffic sign reading, this technology aims to improve the safety of drivers, passengers, and pedestrians.