IMAGE CLASSIFICATION OF AUTOMOTIVE PARTS: HELICAL GEAR, BEARING, AND WHEEL

This work addresses the classification of three automotive components - wheels, bearings, and helical gears - using computer vision algorithms and deep learning. The dataset, composed of high-quality images, was obtained and reviewed to ensure the model's accuracy, which reached 90%. The system enables precise identification of the parts, contributing to the effective monitoring of components in industrial systems.