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    Discover the benefits of Overview

    Why Automated Quality Control?

    AI QC keeps factories competitive

    Flexibility

    The most accurate and flexible AI vision product

    Case Studies

    Applications and examples

    Calculator

    The flexible calculator to measure your needs

    Why Deep
    Learning?

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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: Electronics

PCBA Inspection

Overview Deep Learning improves yields in PCBA manufacturing by making sure each component is placed and soldered correctly. The flexibility of the Snap Platform makes implementing a turn key solution fast and painless to match the pace of PCBA innovation.

Problem

Currently AOI machines are expensive and difficult to program and use inflexible rules based algorithms.

The Overview Solution

Our Deep Learning platform enables lower cost and faster inspections. The Snap Platform allows full traceability with our cataloger feature and remote monitoring from anywhere.

How does the Deep Learning Work?

Multistep inspection

  • Deep learning based alignment model makes the integration easier
  • Full board analysis on the solder mask looks for scratches or bubbles
  • Region-of-interest by region-of-interest inspection for component presence and correctness
  • Defects identified include bent pins, solder bridging, tombstoning, broken traces, etc

Result

Consistent, reliable, 100% coverage inspection

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