[AI Image Inspection Case] Left and Right Discrimination of Molded Products
We will perform symmetry detection of molded product shapes using AI image inspection software!
We received an inquiry from a manufacturer that produces a wide range of products, including vinyl chloride monomers, polymers, and special PVC resins, with whom we have had a business relationship for some time. They asked if our group company could distinguish the shapes of molded products (specifically, symmetrical shapes) and contacted us regarding this matter. 【Inspection Settings and Results】 We used a total of 14 images as training data, consisting of 7 images of the left side and 7 images of the right side. We enclosed the object we wanted to detect (in this case, the entire workpiece) in a frame and labeled them as "LH" and "RH" respectively (as shown in the left image). This process was carried out for all 14 training data images. In the right image, LH is correctly recognized as LH, and RH is recognized as RH. There are no issues with recognition even if the left and right are swapped. 【Software and Equipment Used】 Software Used: DeepSky Field of View: Approximately 482 x 383 mm Minimum Size of Inspection Target: 150 mm Number of Inspection Points: 1 (to check if the left and right workpieces are aligned across the entire screen) Camera Resolution: 1.3 million pixels Lens Focal Length: 8 mm Distance Between Lens and Product: Approximately 575 mm Lighting: Indoor fluorescent lights
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