Use Cases

Commercial

We standardize industrial quality inspections through data.

Automated Quality Inspection System

Automated quality inspection at the End-of-Line (EOL) stage standardizes inspection criteria and ensures consistent pre-shipment quality across drone production lines.

  • 01
    Automated Visual & Component Inspection

    Inspects airframe exteriors, assembly condition, and critical components automatically.

  • 02
    Data-Driven Pass/Fail Criteria

    Establishes data-driven criteria for defect detection and pass/fail assessment.

  • 03
    AI Defect Detection

    Applies AI-based defect detection algorithms throughout the inspection process.

  • 04
    Digital Inspection Records

    Digitizes and systematically manages inspection results across the entire process.

Outcomes

  • Standardized Pre-Shipment Quality

    Reduce inspector-dependent variation and ensure consistent pre-shipment quality through objective pass/fail criteria.

  • Inspection Data as a Strategic Asset

    Builds a digital history of every inspection to support defect pattern analysis and continuous process improvement.

  • Improving Production Efficiency

    Reduces reliance on manual inspection, lowering operator workload and increasing production throughput.

  • +80 %
    Pre-Shipment Defect Detection Rate
  • +75 %
    Inspection Coverage
  • -65 %
    Inspection Time

Key Achievement

01
Global Defense UAV
Manufacturer A

Supplied sensor inspection equipment

02
Global Drone
Manufacturer R

Conducted a PoC for powertrain inspection equipment

03
Leading Korean
Drone Manufacturer P

Delivered powertrain inspection equipment

Resources

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