IMAGE PROCESSING


Image Processing: a world of solutions, often integrated with robots and other measuring systems, to analyze surface and dimensions.
Replacing the human eye in such tasks as recognizing, identifying, locating, measuring.

The theoretical foundations:

  • Stems from a technological evolution to which different scientific branches have significantly contributed (computer science, optics, digital communications);
  • There is no standard formulation nor solution to tasks of artificial vision;
  • However, there are plenty of methods to solve well-defined tasks of artificial vision;
  • In practical applications, learning-based methods are increasingly common;
  • Gigabit cameras combine speed, low cost, standardization;
  • The evolution of software increasingly focus on the solution of 3D problems.

 

Vision systems can find a virtually unlimited range of industry applications:

  • Defects recognition;
  • Robot guidance;
  • Non-contact measurements and tolerance check;
  • Inspection of continuous tapes, Web Inspection;
  • Classification and selection;
  • Optical character recognition and barcode reading.

The most evident advantages of the application of Vision techniques:

  • Constant performance based upon objective and repeatable criteria;
  • The ability to operate in hostile environments;
  • Fast inspection method;
  • Reduction in labor costs;
  • Generation of data enabling to highlight any trend of process deviation.

Solutions:

  • 2D and 3D dimensional control directly integrated in the assembly line;
  • Quality and assembly controls through intelligent analysis algorithms;
  • 2D and 3D dimensional localization, often used for robot guidance;
  • Automatic faults detection for Endoscopy and Magnetoscopy;
  • Special applications: character recognition, barcode reading and thermographic analysis .