How AI can increase the accuracy and efficiency of defect detection in blister packaging

Why pharmaceutical companies need to go beyond traditional vision inspection systems




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

Unfortunately, traditional vision systems often fail to detect foreign particles, crushed or broken products, changes in size, shape and form or discoloration.

To meet complex inspection requirements and maintain quality, manufacturers are looking to new technology, such as artificial intelligence (AI), to revolutionize current systems.

In this whitepaper, ACG explains how AI is set to transform defect detection by

  • Increasing the accuracy and efficiency of vision inspection systems
  • Enhancing the full quality process
  • Minimizing the set up and changeover time for detection systems
  • Addressing common challenges in the detection process (e.g., low-contrast product detection)

After reading this whitepaper, you’ll understand how to enhance efficiency in your current process by reducing downtime, false-rejects, reworks and avoiding costly product recalls.

Download your copy today.

We respect your privacy, by submitting this form you agree to having your details passed onto the sponsor who may promote similar products and services related to your area of interest subject to their privacy policy. For further information on how we process and monitor your personal data, and information about your privacy and opt-out rights click here. By clicking the "Download button" you agree to the terms of our Privacy Policy.

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