AI-based Automatic Visual Inspection
Machine for Vials and Syringes

Powered by AVIS, a Boon Logic product

Enhance product quality and 3X inspection speed with the DAI-50

The DAI-50 brings together Dabrico’s 45 years of automated visual inspection expertise and Boon Logic’s AVIS AI platform to set a new standard of inspection: human-like adaptability with validated, automated performance.

60-minutes to train an inspection recipe

90 units per minute at maximum speed

99% detection accuracy for particulate and cosmetic defects*

A Superior Automatic Vision Inspection
Machine for Vials and Syringes

A Superior Automatic Vision Inspection Machine for Vials and Syringes

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Fast and gentle material handling to support any form factor

The DAI-50 uses a brief pre-spin to create a controlled vortex that makes particles easier to detect. This ensures every defect is clearly captured by one of the system’s three high-resolution cameras.

  • Adjustable pre-spin for full defect visibility
  • Adjustable lighting and vial positioning
  • Interchangeable rollers to support any product type
  • Configurable for 2 ml – 1,000 ml containers
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Visual inspection parenteral products

Configurable optics for maximum visibility

The DAI-50 uses three dedicated cameras, each focused on different parts of the vial to highlight specific defect types. Pre-defined regions of interest (ROIs) guide each camera to the areas where issues most commonly occur, providing clear, targeted insight for accurate inspection.

  • Backlit camera
  • Top-view camera
  • Side-view camera
  • 60 frames per second
Visual inspection parenteral products
visual inspection machine for injectable products

Artificial intelligence-based visual inspection powered by AVIS

AVIS uses an unsupervised learning approach that models normal variation rather than relying on defect libraries or labeled images, allowing it to detect both known and unknown anomalies.

This method naturally adapts to real-world variability in molded glass vials, powders, lyo cakes, and other challenging products. In 45 minutes and four simple steps, a new inspection recipe can be created.

  • Near 100% accuracy for all defect types
  • <1% false eject rate
  • Train new inspection recipes in <60-minutes
visual inspection machine for injectable products
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Seamless system qualification with audit-friendly documentation.

The DAI-50 follows the standard pharma validation sequence IQ, OQ, and PQ but accelerates qualification because AVIS trains directly from compliant product and creates a frozen, validation-ready recipe.

  • Audit-validated qualification process
  • Full documentation and qualification support
  • <6-weeks to qualify on average
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Never miss a defect, even with
difficult-to-inspect products

Never miss a defect, even with difficult-to-inspect products

Train a new Visual inspection recipe
in minutes

Train a new inspection recipe in minutes

The first step in creating a new inspection recipe in AVIS is to record 500 pre-inspected compliant units, covering normal product variations like powder disposition, bubbles, fill level, glass molding, and more. AVIS uses three cameras, capturing hundreds of images from the top, inside, and outside of each unit at 30 frames per second per camera.

After recording, configure regions of interest (ROIs) for all three cameras. Since the units rotate 360 degrees, ROIs can be positioned in areas prone to defects, including easy-to-inspect features like the side wall and shoulder, as well as challenging areas like the vial base, oblique views of lyo cakes and powder, and tamper-evidence seals. 

AVIS uses Boon Logic’s unsupervised machine learning algorithm, Boon Nano, to learn the normal variation for each Region of Interest (ROI). A learning curve tracks the model’s progress for each ROI. Initially, the curve is steep as AVIS learns significant variations, but it levels off toward the end, indicating that most normal variations have been integrated into the recipe. Ten unique models are trained, one for each of the 10 ROIs.

In run mode, AVIS makes 100,000 machine learning inferences per vial. Anomalies outside the learned normal variation trigger a spike in the anomaly index, indicating a potential defect. AVIS determines whether a unit is defective within milliseconds, triggering actions like ejecting the unit, stopping the conveyor, or flashing a light. The defect’s video frame, with the exact location highlighted, is displayed and archived for trend analysis. 

Reimagine Automated Visual Inspection with the DAI-50

The future of optical inspection isn’t about choosing between human judgment and machine speed. It’s about combining both. The DAI-50 delivers an AI-powered inspection system that brings consistency, adaptability, and precision to modern quality control.

Traditional machine vision inspection systems rely on rigid rules and predefined defect categories. The DAI-50 takes a different approach to defect detection. It learns what “good” looks like and flags anything outside that pattern, enabling more reliable vision quality across real-world production variability.

This transforms quality inspection systems by delivering:

  • More accurate detection across complex products
  • Consistent quality control without human variability
  • Scalable performance for high-mix, low-volume environments

The result is a higher standard for machine vision inspection. One that elevates the inspection process from start to finish. 

DAI-50 Open Cab

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