Abstract:
The objectives of this study were to reduce manual labor and increase the performance efficiency of the inspection of substrate product in the electronic parts inspection department. Which the separation between non-defective and defective parts still used manpower to monitor the quality. The department proposed to adopt vision system technology to verify and optimize the process of checking the substrate product. The technology was intended to increase both the quantity and quality of the inspection process. In addition, the image processing system could be used to analyze the image. The analysis included programs used to control all the functions of the vision system.
The results found that after using the vision system to inspect the substrate product in the quality inspection department, the efficiency and effectiveness of the inspection were highly increased, as supported by the data about increasing quantity of work and the accuracy of detecting non-defective and defective parts. At the same time, the reduction in the number of employees working in the department was quite high, from 20 down to 2 people during work hours. The labor cost was reduced 90% and the capability to inspect non-defective and defective parts was increased 79% over the original manpower usage.