Machine Vision System for Automated Nuts Classification and Inspection

Autor: Van-Huong Tran, Hong Hai Hoang, Tien-Hoang Bui, Dinh-Manh Nguyen, Thanh-Hung Nguyen
Rok vydání: 2021
Předmět:
Zdroj: Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020) ISBN: 9783030696092
Popis: This paper presents an automated nuts classification and inspection system. The nuts are automated feeding by a mechanical system and their images are captured by a 2-D imaging system each time a nut passing through. The 2-D vision algorithm is developed to classify the nuts and detect the defect on their surfaces. The feasibility and effectiveness of the developed system are verified experimentally. The results indicate that the system can accurately classify the nuts and inspect the defect on them. In the experiments, the accuracy of the classification exceeds 99% and the accuracy of inspection exceeds 92%.
Databáze: OpenAIRE