AI detection of reflective packaging 

Blister packaging for tablets and capsules

Blister packaging or push-through-package (PTP) is commonly used for storing tablets and capsules to ensure they remain moisture-proof, and for convenient consumption. PTP often comprises transparent PVC, an aluminum foil back layer, along with PVDC sheets for reducing permeability. PTP production lines on average pack 5,000-40,000 tablets or capsules per hour, and are prone to occasional errors in filling. These production errors can range from unfilled and deformed blisters to inadequate or broken tablets or capsules.

Reflective material on fast moving production lines

In the past, PTP production relied on manual or traditional inspection methods to verify packaging quality and detect filling errors. However, PVC is highly vulnerable to light reflection and when passing through accelerated production lines, are difficult to accurately inspect, leading to high rates of defective products. 

AI deep learning inspection solution

With Solvision, images of good PTP samples and different defects can be used to train an AI model capable of automating visual inspections. The system’s Segmentation tool enables accurate detection of each blister and its contents, and can locate and classify any defects to facilitate subsequent production processes.

AI Inspection

Golden Sample

Press Through Package defect detection case

Deformed Blister

Press Through Package defect detection case

Empty Blister

Press Through Package defect detection case

Broken Capsule

Press Through Package defect detection case

Detection Results

Press Through Package defect detection case
Press Through Package defect detection case

CONTACT US

Have a 3D or AI project you would like to discuss?

You are very welcomed to contact us via phone call, email or online inquiry.