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Imaging

Machine Vision Technology

The training is suitable for those who want to understand the physical and technological foundations of machine vision. You are probably working in the field of research and development, production or project management and want to increase your knowledge.

(Camera and sensor technology, optics, illumination, interface, image processing, machine vision and color)

Content
  • Camera technologies
    • CCD
    Sensor architecture
    CMOS
    NIR
    Linescan
    Monocrome/Color
    Interlace / Progressive scan / Rolling Shutter / Global Shutter
    Camera parameters
    Trigging, synchronization and exposure
  • Illumination
    • Illumination geometri
    Light sources (Halogen, LED, IR, Xenon )
    Right choice of illumination for different kind of objects
    Colored illumination
    Diffuse, direct, darkfield and coaxial illumination
    Strobing
  • Optics
    • Optical calculations
    Standard optics
    Measure optics, telecentric optics
    Performance and quality of optics (distorsion, perspective ...)
    Choice of optics for different applications
  • Interface
    • Analogue/digital
    Cameralink
    Fire-Wire
    USB 2.0
    Gigabit Ethernet
  • Design of vision systems
  • Image Processing for Machine Vision
    • 2D measure –edge tools
    Filter
    Blob
    Different pattern recognition algorithms and tools
    OCR
    Barcode 1D/2D
    Neurala nätverk med Machine Vision
  • Neural networks and machine vision
  • Color processing and Machine Vision
    • Color spaces (RGB, HSI, CIELAB, CMY )
  • Software for machine vision
  • 3D Technology
    • Triangulation
    Stereo
    Perspective deformable matching
    3D matching

 

Theory: 80%
Practice: 20%