The appearance detection of drugs is one of the important links of drug testing. In the pharmaceutical industry, many drugs are filled by capsules. Due to its large demand and high quality detection requirements, the current human detection has uncertainty and lack of accuracy. Therefore, the application of machine vision technology in the appearance detection of drugs can overcome many drawbacks of manual detection, improve its accuracy and work efficiency, but also reduce the cost of enterprises, is the future trend of drug testing development.
Requirements for capsule appearance defect detection:
Test capsule appearance, whether there is different color, damage, black spots, stains, shaped, inserted split, top concave, double cap, fracture, poor printing, hair, no printing, long body, short body, long cap, short cap, long capsule, short capsule, not round, splitting, inserted wrong, broken, deflated shell, empty capsule and so on defects.
Solution:
Machine vision technology is a non-destructive, non-contact detection means, through the multi-channel roller rotating mechanism to take a 360 degree rotation of the capsule image acquisition, can overcome many drawbacks of manual detection, and improve its accuracy and efficiency, but also reduce the cost of enterprises.
The visual detection algorithm determines whether the appearance of each capsule is qualified through pattern recognition, and removes the unqualified capsules. For different capsule models and specifications, you can set the corresponding storage template, easy to call. The capsule testing equipment uses the self-developed professional software, which can carry out statistics on different defect removal amounts and generate reports.
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