Using AI to enhance defect detection in blister packaging

Ensuring product quality and spotting defects early is essential in the blister packaging process.

Detecting foreign particles and discovering crushed or broken products prior to distribution is a challenge for any pharmaceutical manufacturing company – especially in the face of failing traditional vision systems.

Other hazards such as changes in size, shape and form, or the discoloration of products, also present huge and often expensive hurdles that have to be overcome.

A solution to this widespread problem has been found in the form of artificial intelligence (AI) which is being used to revolutionize traditional systems used by pharma manufacturing firms.

The latest whitepaper from ACG explains how AI is about to transform defect detection by helping concerned manufacturers meet complex inspection requirements while continuing to maintaining quality.

Download this exclusive whitepaper today to learn how to:

• Increase the accuracy and efficiency of vision inspection systems.
• Enhance the full quality process.
• Reduce the set up and changeover time for detection systems.
• Address common challenges in the detection process such as low-contrast product detection.

This whitepaper has been heavily researched to help manufacturers reduce the risk of downtime, limit the amount of false-rejects and reworks, and prevent costly product recalls.

Download your copy today!