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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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    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: Logistics

Cataloging System

The Snap Platform helps reduce returns on a manual box packing line. After packing, the boxes are placed onto a conveyor belt for sealing and shipping. By counting the number of packages on the line The Snap Platform collects a visual record of every package before shipping out of facility and understands shift by shift productivity.

Problem

Currently, no system can rapidly deploy an end-to-end system for automated capture and that includes searchable catalog of parts and a business intelligence layer. Hardware triggers are unreliable when boxes are touching each other.

The Overview Solution

Our Deep Learning triggering system enables a cheap overhead camera to capture, count and catalog all boxes passing on conveyor belt. The Snap Platform analytics engine shows which shifts are performing best, and displays realtime statuses on manual packaging throughput.

How does the system work?

High speed inspection

  • Deep learning based object tracking and triggering system captures only a single image of each box
  • Each box gets cropped from image, timestamped and saved to the catalog

Result

100% of packages are cataloged so returns can be better disputed. Better shift optimization increases productivity.

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