Detects and determines foreign objects such as bird droppings and paper in the crate, as well as deformities!
In food manufacturing, crates may be used during delivery. When collecting crates, they may be left in open warehouses or outdoors, which can lead to contamination from bird droppings, paper, and other foreign materials, as well as deformation. This time, we received a request from a customer to ensure that products are received in clean crates, so we examined the dirt and foreign materials attached to the containers. 【Inspection Settings and Results】 For bird droppings, we conducted tests using white, black, and brown paint as shown in the image on the right. After annotating the detection area (the process of enclosing the detection area in a frame) as shown in the left image, we proceeded with "training." We annotated 10 images for each NG variety. The "number of recognition points (standard value)" was set to "10" (the default is "60"), and detection was successful. 【Software and Equipment Used】 Software Used: DeepSky Learning Version Field of View: 400 x 300mm Minimum Size of Inspection Target: 10mm Number of Inspection Points: 1 location to find NG from the entire screen Camera Resolution: 1.3 million pixels Lens Focal Length: 6mm Distance Between Lens and Product: 580mm Lighting: If the brightness varies in the morning and evening near windows, it is recommended to install lighting.
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