Measuring Product Dimensions with Computer Vision in Ceramic Sanitary Ware Sector

Computer vision applications are a branch of science that aims to extract meaning from digital images. It is used in many fields such as automatic inspection, quality control, security, efficiency improvement, autonomous vehicle technology and health sector. Especially in quality control applications, the reliability of product measurement processes with traditional methods depends on the human factor. This study aimed to measure the product dimensions automatically and accurately with computer vision for the shower tray products of a company operating in the ceramic sanitary ware sector. In addition, low cost, high accuracy and high efficiency are targeted with this study. Object size measurement with computer vision consists of two main components: software and hardware. The choices related to these 2 components can directly affect the results of the application. The application stages can be listed as; calibration of the camera that is fully aligned with the product area, calculation of the pixel/centimeter ratio using the calibrated camera and ArUco marker, background segmentation on the collected image data, edge finding applications and measuring the product dimensions on the found edges. As a result of the application, for 79 shower tray images; For 43 data within 70% frame area, average 2.86 mm, for 36 shower tray images outside 70% frame area, average 4.44 mm and for all test data, measurement was made with an error of 3.67 mm on average. This error rate is below the company’s 1 cm tolerance value in manual measurement and gives successful results.