[AI Image Inspection Case] Surface Inspection of Molded Products
Manufacturers of plastic and rubber products also utilize our image inspection software for defect detection.
One of the frequently asked points from end users who are introducing image inspection for the first time is the ability to operate it in a manner similar to Windows software. This year, we have also developed related software that is useful for actual operations, such as the highly requested "simultaneous inspection and counting on a conveyor" and "OCR for difficult-to-read engravings." Additionally, we can add an optional "extended command" that enables a wide range of system operations. [Inspection Settings and Inspection Results] The image involves a task called "annotation," where the area to be detected is enclosed in a frame. By "training" the enclosed area, we were able to detect the target. Furthermore, as an image of actual operation, for example, when an abnormality is found while continuously photographing moving products, actions such as lighting a lamp, sounding a buzzer, or stopping the conveyor can be performed.
basic information
【Software and Equipment Used】 Software Used: DeepSky Field of View: Approximately 560 x 440 mm Minimum Size of Inspection Target: 5 mm Number of Inspection Points: 1 location to find defects across the entire screen Camera Resolution: 1.3 million pixels Lens Focal Length: 6 mm Distance Between Lens and Product: Approximately 500 mm Lighting: Two linear fluorescent lights Distance Between Lighting and Inspection Item: A white board was installed above the camera, and the lighting was positioned upwards to illuminate the surface of the inspection item with the reflected light (indirect light) from the white board.
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