Identification of Various Defects in Pharmaceutical Tablets Using Image Processing Techniques

Abstract

Objective: Our aim is to identify the damaged tablets from the manufacturing line using image processing techniques and remove them before packaging. Methods:The various problems posed during inspection are broken tablets, corner chips, black or other color spots in tablets, empty blisters (without one or more tablets or capsules), foreign particles/color variation in the tablets/capsules, improper sealing, etc., Image processing techniques will be used for defect detection. Results:Tablets are available in packed forms that are usually transparent, semi-transparent or opaque. Euclidean distance was employed for detecting defects, during testing that had a similarity of 100 for tablets with no defects, for defective blisters had similarity ranging from 98 to 41. Empty blisters had a similarity of 0 on comparing with trained images. Conclusion:Similarity measuring based technique can accurately detect defects in the pharmaceutical tablets, hence can be adopted for removing such blisters from the manufacturing line itself.

Syringic Acid: Structural Elucidation and Co-Crystallization

“…[12][13][14] Anticancer effects of SYRA were explored on A549 lung carcinoma cells and was found to show apoptotic effects with an IC 50 of 30 µm. 15 To date SYRA crystal structure is not elucidated and crystal engineering studies exploring modification of pharmaceutical properties for therapeutic improvements are not available in literature. This study was designed to develop synergistic and organoprotective multicomponent systems using SYRA with paracetamol, isoniazid, piracetam, levetiracetam, 5-fluoro uracil, pyrazinamide, nicotinamide (NCT) and urea (U) for application in the treatment of various diseases.…”