Vehicle Characteristic Recognition by Appearance: Computer Vision Methods for Vehicle Make, Color, and License Plate Classification

This paper intends to analyze the recognition of vehicle characteristics from appearance. In comparison to other use cases, like facial recognition, where image-based target recognition has been thoroughly researched, the field of vehicle characteristic recognition has not gotten as much attention in the literature. We use object identification algorithms and image classification methods to determine the make (manufacturer), color, and license plate information of the car. We use vehicle logos as one of the criteria so that we can distinguish between cars with similar forms from different manufacturers. Additionally, we created a scenario for recognizing car attributes in the actual world. An intelligent method for classifying various car types and detecting vehicles from traffic camera images was suggested in this study. We have shown that elements of a car, such as manufacturer and license plates, are capable of being precisely detected. The performance of the current traffic camera systems might be improved by the suggested approach.