Vehicle Tire Crack Classification Using ResNet50 Architecture

Tires are one of the most important components in almost all vehicles. Tires work to perform functions and provide user comfort. With age, tires that are often used can experience damage caused by various factors, such as the road traversed or the weather received by the vehicle tires. Cracks in tires are one of the damage that can occur in tires. This can be a tire that has lost its flexural properties. Tires that have decreased flexibility indicate that the traction of the tires is reduced, so if ignored, they can be a potential source of driver accidents. Proper tire care is very necessary so that the tires used can be in the optimal condition so that they will not injure the rider. In the process of maintaining the prohibition of vehicles, currently, it is still done manually, which relies on the human eye, so there is the possibility of human error. In this study, a model was developed in which to classify the prohibition of seized vehicles as an effort to reduce the possibility of human error. The model is built using the ResNet50 architecture, where the ResNet50 architecture is either a predefined model or an intelligent model, so there is no need to adjust the layers. Of the 6 scenarios of tuning parameters, the model got the best score of 94% accuracy, 94% precision, and 94% recall.