The AIACVISION Blister Inspection Machine provides advanced visual inspection of both sides of aluminum-plastic blister packs, ensuring thorough quality control. Leveraging deep learning-driven defect detection, it enables pharmaceutical manufacturers to identify even the most subtle packaging flaws.
The AIACVISION Blister Inspection Machine provides advanced visual inspection of both sides of aluminum-plastic blister packs, ensuring thorough quality control. Leveraging deep learning-driven defect detection, it enables pharmaceutical manufacturers to identify even the most subtle packaging flaws. With four inspection stations under diverse lighting conditions, the system provides accurate defect detection on the products, blister surface, and aluminum foil. At the third station, a dedicated backlight enables the identification of subtle leakages.
Equipped to inspect both the aluminum foil and PVC sides of blister packs, this machine identifies a wide range of defects including missing tablets, broken tablets, batch number errors, foil damage, foreign objects, and packaging deformations. Leveraging deep learning algorithms, it excels at detecting fine and hard-to-see defects that traditional systems may miss. With an intuitive adjustable touchscreen and user-friendly interface, it combines precision, versatility, and ease of use for modern pharmaceutical production lines.
Missing grain, half grain, unaligned aluminum foil and plastic plate, batch number punch through, missing batch number, batch number cut, hair in plate, tablet broken, black spots/foreign objects on grain, double cap, aluminum foil shavings on plate, missing aluminum foil, powder on plate, stain on plate, grain concave drug loss, mesh pleats, finesse defect, unclear mesh, squashed blister, light-colored foreign body, drug grain convex foreign body, batch number offset, plate surface drug powder inclusions, plate in wrong dimension, and so on.
