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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: Medical

Surgical Needle
Inspection

Overview Deep Learning increases production in needle manufacturing by ensuring each needle is properly polished and coated. Each needle tip undergoes a high precision sharpness inspection.

Problem

Currently, no system exists that can do both a polish and coating inspection and a tip validation at the same time at high speed.

The Overview Solution

Our Deep Learning platform replaces slow and costly human microscope inspection with high resolution inspection systems that solves several problems at once.

How does the Deep Learning Work?

Multistep inspection

  • Identifies needle on conveyor belt using deep learning based tracking and triggering system
  • Classifies needle type and auto selects correct recipe
  • Finds, crops, and analyzes needle tip with super high resolution camera
  • Surface and texture inspection on rest of needle to find polish and coating inconsistencies

Result

Fully automated inspection removes need for quality specialist and 100% inspection coverage.

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