| Summary: | 碩士 === 中原大學 === 電機工程研究所 === 107 === The Vision System has been widely used for monitoring the process quality in different industrial fields. To ensure that the manufactured products satisfy the most stringent quality requirements, for manufacturers, the most important matter lies in the logical detection of the vision system with edit-ability, consistency, and repeatability in measurement results. The manual judgment of the product characteristics can result in poor quality due to long hours of work which causes inspectors with poor mental and physical exhaustion. On the other hand, the use of the vision technology in manufacturing systems can not only measure, inspect, and verify the geometrical size and integrity but also record and monitor quality information of the products during the manufacturing process.
In this technical report, we first combine the KEYENCE vision system with the automated equipment detection to find the Region of Interest (ROI). After image processing, we have compared the measured values of the image with the standard values for pattern matching to detect the similarities between the label printing and the standard values for judging the quality requirements according to the design specifications, which will reduce the inspection time and labor cost.
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