Proprietary technology for machine vision

Applications » Machine vision » Proprietary technology for machine vision


Over the years, STT has developed its own resources, technologies and methods in machine vision to provide imaging-based automatic checkup and analysis for various applications including automatic inspection, process control and robot guidance in industry.

Some of these methods and resources are:

  • Pattern recognition (correlation, edge, shape descriptors, etc.).
  • OCR (Optical Character Recognition).
  • Classification by SVM (Support Vector Machines).
  • Neural networks.
  • Stereo vision.
  • Colour inspection.
  • Blob analysis.
  • Edge processing.
  • Laser Triangulation.
  • Sub-pixel contour extraction.
  • MLP (MultiLayer Perceptron) classifiers.
  • GMM (Gaussian Mixture Models) classifiers.

Fields of application

  • 1D, 2D barcode reading.
  • Presence and correct assembly of components (ICs, connectors, etc.).
  • All kinds of 2D measurements.
  • Reading of registration numbers, sell-by dates, etc.
  • Recognition of the position and orientation of objects.
  • Guiding of robots.
  • Inspection of pad printing-screen printing.
  • Filling of containers.
  • Detection of scratches or superficial defects.
  • 3D reconstruction of components.
  • 3D matching.
  • 3D measurements.
  • Guiding of robots (pick & pack).
machine vision