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    • RailEye3D
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  • QualityEye®
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QualityEye®

Surface inspection system
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Surface inspection system with integrated AI

QualityEye® surface inspection system for the industrial production

With the QualityEye® product suite based on the EYYES framework, we develop and deliver forward-looking applications for more safety in quality inspection for defect detection and surface inspection with artificial intelligence.

  • specifically designed to meet the needs of the industry
  • camera-based

Applications for surface object detection

The camera-based sensor technology of the QualityEye® product suite enables a wide range of applications using the framework.

Camera-based quality control

Inspection of a wide variety of surfaces

  • Defect detection
  • Defect classification
  • Localised defect identification
  • Comparative colour and gloss testing
Production process monitoring

Detection of deviations using deep learning algorithms

  • Workpiece identification
  • Position determination
  • Geometry recognition
  • Weld seam detection
Solutions for OEMs

Specific optical AI solutions for machine producers to expand their own portfolio of offerings, such as

  • Tool monitoring
  • Inline quality inspection
  • Optical evaluation for process control
OUR SERVICES FOR YOU

Our services

  • Consulting to determine the current status and the task/target
  • Feasibility studies in our own lighting laboratory
  • Project planning and implementation in hardware and software
  • Implementation and trial operation
  • Transfer of operations
  • Support of the initial training and test phase
  • Support and aftercare
SOLUTIONS
  • Surface inspection

    Inspects the surface of a painted or coated workpiece to detect defects in the surface, e.g.

      • Scratches, dents
      • Enclosed bubbles
      • Inclusions of foreign particles
      • Insufficient deburring
      • Deviations of color and gloss level

    .

  • Injection molding

      • Checks the dimensions of the product, e.g. for creep effects or spray defects

    .

      • Analyzes the color of the product, for example, by changes in the granules, color mist, paint runs, cloud formation

    .

      • Detects surface damage, e.g. scratches, dust inclusions, adhesive residues

    .

      • Even transparent components can be reliably inspected

    .

  • Weld seam detection

    • Real-time operation due to sampling rate of 90 fps
    • 0% error rate
    • >98% detection rate
    • PLC interface to downstream industrial equipment
    • Remote maintenance via VPN access
    • Simple GUI for users
    • Durable and robust
    • Flexible design
  • Increase
    in product safety
    Increase product safety through 100% control
  • Reduction
    of costs
    Reduction of unjustified complaint costs
  • Objectification
    of the quality inspection
    Objectification of quality inspection by replacing manual by machine inspection of attributive characteristics.
  • Optimization
    of the quality level
    Optimization of the quality level by collecting the quality data and feeding the data to control loops.
  • Optimization
    process parameters
    Increase in productivity through condition-dependent process parameter optimization.
  • Detection rates
    at top level
    Highest detection rates through optimized Deep Learning algorithms.
  • Performance
    maximization
    Maximized performance and real-time testing through in-house hardware AND software development.
  • Learning
    systems
    Self-learning systems keep the solution flexible and future-proof.
INQUIRY

The QualityEye® product suite supports your production processes.

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EYYES GmbH
Im Wirtschaftspark 4
3494 Gedersdorf
Austria

Contact us
by Email or Phone

Write us | sales@eyyes.com

Call us | Krems, +43 (0)2735 37499-10

Call us | Freital, +49 (0)351 799034-40

Call us | Aachen, +49 (0)351 799034-40

Career
We are hiring

Senior Hardware Developer @Gedersdorf @Freital

System Engineer @Gedersdorf

Service Engineer @Freital

C++ Software Developer @Gedersdorf

Test Engineer HW/SW @Gedersdorf

Product Manager @Gedersdorf

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