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    Discover the benefits of Overview

    Why Automated Quality Control?

    AI QC keeps factories competitive

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    The most accurate and flexible AI vision product

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    Why Deep
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  • Use Cases
    Use cases
    Blood Testing Kit Inspection
    Glass Packaging Verification
    Bent Pins
    Shiny Parts
    Cataloging System
    Final Assembly Verification
    Grease Check
    Threadlocker Presence & Amount
    Glass Bottle Inspection
    Final Assembly Verification of Surgery Equipment
    Metal Can Inspection
    Palleting inspection
    PCBA Inspection
    Surgical Needle Inspection
    3PL Package Verification
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Use Case: Medical

Blood Testing Kit
Inspection

Overview Deep Learning automates regulatory compliance by doing multi-point inspections on blood testing kits. Our cameras pick up tough to spot bubbles in clear plastic, scratches in the casing, and subtle misalignment between layers.

Problem

Defects are rare and varied making a traditional vision very expensive and hard to get high accuracy. Current human quality control specialists are inconsistent and slow.

The Overview Solution

Our Deep Learning platform replaces human inspectors and can spot rare defects without ever having seen prior examples with near 100% accuracy.

How does the Deep Learning Work?

Multistep inspection

  • Unsupervised learning quickly identifies large anomalies using no annotated data, such as scratches, large bubbles, and layer misalignments
  • Region-of-interest by region-of-interest inspection of each relevant spot finds all bubbles and divots
  • An overall generalized scratch detector flags all small to medium scratches

Result

Reduced part rejection, increased yield, and effortless regulatory compliance.

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