[AI Image Inspection Case] Inspecting Shipping Packaging
We will determine whether the printing is correctly bound in two places with PP bands.
In the frozen food manufacturing industry, similar to other industries, there is a process of packaging during shipping that includes labeling the product name and date, as well as securing it with PP bands. This time, we conducted an inspection during the shipping process. We assessed four locations based on three criteria: the printing in two places and whether the PP band was correctly secured. 【Inspection Setup and Results】 Using deep learning image processing, we were able to distinguish between OK and NG cartons as shown in the left image. In the left image, the yellow detection box indicates the date printing, the green detection box indicates the product name, and the light blue detection box indicates the detection of the PP band. The inspection points can overlap in this way. To simulate the actual environment, we placed a bar in front of the subject for evaluation. Since it is difficult to recognize the product name if it is obscured from a direct side view, we angled the camera to ensure that more than half of the carton’s text was visible during the shooting and inspection.
basic information
【Software and Equipment Used】 Software Used: DeepSky Learning Edition Field of View: Approximately 690 x 550mm Minimum Size of Inspection Target: 30mm Number of Inspection Points: 3 Camera Resolution: 1.3 Megapixels Lens Focal Length: 8mm Distance Between Lens and Product: Approximately 820mm Lighting: Indoor Fluorescent Light
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