[AI Image Inspection Case] Reading Inspection of Lot Number Printed on Labels
We have introduced a feature to recognize numbers, enabling the detection of "character discrepancies" and "printing errors."
In the label manufacturing industry for product descriptions, there are many cases where numbers need to be printed. Even if we can detect smudges or black spots, it is meaningless if the printed numbers themselves are incorrect. Therefore, we considered introducing a function to recognize numbers to detect "character discrepancies" and "printing errors." 【Inspection Settings and Results】 By using the "OCR Pro" feature of EasyInspector, we can read multiple lot numbers (corresponding to the number of characters) from a single inspection frame. For characters that are difficult to read, it is also possible to train the system to inspect them one by one. The image on the right above shows that the number "8306" has been successfully read. 【Software and Equipment Used】 Software Used: EasyInspector710 Field of View: 60 x 70 mm Minimum Size of Inspection Target: Approximately 5 mm Number of Inspection Points: 1 Camera Resolution: 1.3 Megapixels Lens Focal Length: 35 mm Distance Between Lens and Product: Approximately 360 mm Lighting: Indoor Lighting The current 'EasyInspector2' RD (ReaDing) package can perform inspections with [OCR (Character Recognition)] and [Machine Learning OCR].
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