The Next Generation of AI-based Visual Inspection in Pharma
In partnership with leading machine builders, Dabrico and Genesis Packaging Technologies, Boon Logic introduces a new approach to automated visual inspection built for the toughest inspection use cases.
The most powerful partnership in
Pharma vision
With over 100 combined years in Pharma, Dabrico, Genesis Packaging Technologies, and Boon Logic have partnered to tackle the toughest visual inspection challenges. Our partnership combines the material handling, service, and support expertise of Dabrico and Genesis Packaging Technology with Boon Logic’s cutting-edge software for unsupervised ML-based visual inspection, AVIS. Whether retrofitting an existing SAVI or deploying a new line for upstream or downstream inspection, we have you covered.
Pharma vision reimagined
ML-based automated visual inspection
DAI-50
Built by Dabrico powered by AVIS
- Compact 36″x36″ automated visual inspection machine
- Three camera, AI-based inspection at up to 50 vials per minute
- Train a recipe for new products in one day
- No AI or computer vision expertise needed
- Trains from compliant units (no defect sets needed for training)
- Integrated material handling system and ejection
Advisum-AI
Built by Genesis Packaging Technologies powered by AVIS
- Mounts into operator inspection cabin turning SAVI into AVI
- Three camera, AI-based inspection at up to 50 vials per minute
- Train a recipe for new products in one day
- No AI or computer vision expertise needed
- Trains from compliant units (no defect sets needed for training)
- Currently available for the Seidenader V90 (ask about other SAVI machines)
- -integrates with SAVI conveyor control and ejection system
Built for the toughest
Inspection use cases
Powder and lyophilized product
Tubular and molded glass
Liquids prone to bubbles
Translucent plastics
Detection results
20 ml with Powder Product
Product type
Challenge
Solution
AVIS learns all of these normal variations and automates the visual inspection process enabling the customer to scale production without hiring more human inspectors.
Results
AVIS detected 98% of all defects with a false eject rate of 2.7%. Particles below 600 microns were learned as compliant powder deposition whereas anything above 800 microns was detected as a defect as this was not present in the training set.