Work

Image Classification of Automotive Parts: Helical Gear, Bearing, and Wheel

Year: 2024

Type: conference-paper

Abstract: 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15458656

Authors: de Souza Prado Siqueira, João Victor, Bracco Donatelli Muro, Felipe, Carvalho Zugaib, Raphael, de Carvalho Jr., Arnaldo

Language: English

Topic: Industrial Vision Systems and Defect Detection

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6893310275

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