Abstract: Real-time quality inspection of capsules manufacturing in pharmaceutical applications is an important issue from the point of view of industry productivity, competitiveness and quality aspect of the product. Pharmaceutical products are susceptible to several common flows like incorrect size or colour, surface defect, missing, broken capsules. To guarantee every capsule is free of defects, each capsule must be inspected individually. We proposed system which we have compared different approaches of image processing for detection of defective capsule and presence of category of defects.
Keywords: Deep Learning, ResNet50, CNN, Python, Feature Extraction.
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DOI:
10.17148/IJARCCE.2021.105153
[1] Mule Prasad, Mukul Pipada, Shinde Narayan, A. R. Kamble, "Inspection of Capsules using Image Processing and Removing Defective Capsules," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2021.105153
