Identification of Indian Traffic Signs based on Different Models and Conditions: A Review

As a crucial part of the larger Intelligent Transportation System, the Traffic Sign Recognition system is essential. That's because drivers may be safer and more proficient on the road thanks to the information provided by traffic signs. The major drawback of these approaches is that systems based on color and shape are very susceptible to variations in light, which may frequently occur under Indian weather conditions. To effectively recognize and identify Indian traffic signs, this research aims to compare all models with their pros and cons. We have examined a deep learning-based detection and identification system as a potential solution to this problem. We also considered very challenging classes of Indian traffic signs that have not appeared in existing research. Images of Indian roads serve as the dataset for the proposed model's training and testing phases. This Review explains the many characteristics, detectors, benefits, and limitations, as well as future research directions, for Indian traffic sign detection in various environments.