RESEARCH ON PART CLASSIFICATION SOLUTION BY IMAGE PROCESSING TECHNIQUES

Abstract

The application of high-tech technology in production generally has been an inevitable trend of today's era, especially in Industry 4.0. An industry integrated with high technology will help improve production efficiency, creating many quality products that meet global standards. This study researches and proposes a product classification technique with the support of image processing technology. The study highlights the successful implementation of a model that can classify products with square, circle, and triangular shapes by a new and fully automatic method that helps to reduce costs and human labor. In addition, the system can identify defective parts. The results showed that the system works stably. The proposed solution can replace conventional manual part sorting with high accuracy and low cost.