Machine Vision Based Quality Inspection of Pharmaceutical Bottle Packaging

Abstract

The packaging of the drug products depends on the dosage form and the market in which they are to be commercialized. Based on the market, some tablets/capsules are packed in HDPE/PET bottle containers. Packaging plays a crucial role in maintaining product safety, purity, quality, and stability from production until it reaches customers. Ensuring the packaging and product quality are within specifications is essential during the packaging operation. Equipment utilized in the bottle packaging process is employed with many automated controls such as Machine Vision systems, which work on image acquisition principles along with Deep Learning (DL) and Artificial Intelligence (AI) to identify the defects during the process and reject imperfect packaging. MV is one of the leading pillars of Pharma 4.0, which focuses on digitalization and automation in the pharmaceutical manufacturing industry. This paper discusses the latest advancements and applications of MV in pharmaceutical solid dosage form bottle packaging.