A Machine Vision Approach for Copper Plating Quality Control System Development

Abstract

In a plating process, its quality control process depends on its employees' skills and experience. In long work hours of the quality control: the QC process causes fatigue and the employees' visual problem. Additionally, lacking experience, skills, leaving the job, and even personal issues of the employees who work in the QC process can harm the company's quality control. This research is the area of research development. The authors focus on design and copper plating quality control system development to solve problems and enhance the plating industry's business benefits and reliability. The article presents a machine vision approach for quality control of copper plating. The authors apply the machine vision concept by using and color spectrum and color-matching techniques to solve the copper plating process's quality control problems from human errors. This system simultaneously identifies and classify oxidation defect on copper plating of pole pieces of microwave ovens. In this work, the paper presents 1. oxidation defect problems in a copper plating industry 2. color spectrum and color matching concept, 3. system architecture, 4. the experiment, and the conclusion of from result of the experiment.