Defect Detection System on Stamping Machine Using the Image Processing Method

Quality products are very influential in creating profits for the company and also closely related to level of customer satisfaction. The higher quality produced by a company, satisfaction felt consumers. biggest challenge production process is achieving good with product defect rate close zero defect. Defects usually small. This course difficult workers inspect each long time. Thus, manual inspection certainly ineffective inefficient because humans have saturation point get tired if they work Previous research on detecting defective objects using image processing has been carried out but not able detect up shape size, while this study it can size. Therefore, implement an automatic detection system we will use RFID technology. Image computer so that becomes better produces value information color. techniques consist conversion from RGB grayscale, thresholding (binarization), morphological operations (segmentation). While identification method means called label or transponder store retrieve data remotely aims control HMI visual aim getting machine effectiveness value. One Overall Equipment Effectiveness (OEE) method. It proven implementing gets accuracy 95.97% rejected optimize OEE presentation obtained. In study, implementation monitoring was successfully implemented average 52.49%.