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Pharmaceutical/Medical

Syringe Flange Inspection

Ensure a finger flange is safe and free of detects

Defect detected on a syringe flange

Zugehörige Produkte

In-Sight D900

In-Sight D900

Ausgestattet mit der In-Sight ViDi Deep-Learning-basierten Vision-Software

ViDi software with all defect detection tools

VisionPro Deep Learning

Ein völlig neuer Ansatz bei komplexen Prüfungen, Teilelokalisierung, Klassifikation und OCR

After the barrel of a syringe is cut away from the tubing, a shoulder, flange, or finger grip is formed by heating the end, rotating the barrel, and using forming tools on the soft glass. A flange can be fully round or be cut into any of a number of shapes, with small variations depending on the manufacturer and model.

The cutting, forming, and annealing processes can cause cracks, chips, or spalling, all of which can be dangerous to the user, since the flange is where the fingers are placed for injection. While scratches are typically classified as minor defects, it is important to detect even the slightest crack in the flange, since it can be a sign of a structural problem. Since these defects can be both subtle and vary in shape, size, and position, traditional machine vision can struggle to perform this step-in syringe automated inspection.

Cognex Deep Learning is ideal for syringe flange inspection because it can be trained on a range of flanges at various angles and in spite of the variability, transparency, and geometric complexity. It distinguishes between an acceptable flange and an unacceptable one, even for extremely subtle flaws that would be missed even by human inspection.

The Cognex Deep Learning defect detection tool easily adapts to slight shape variations resulting from changes in supplier that would require significant reprogramming for conventional machine vision, minimizing erroneous rejections of good flanges.

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