Artificial vision

All people have the innate gift of recognizing natural objects. That is, once they see an object, they can recognize it again whether it is in the same or a different surrounding area. Today there is a growing number of applications – from security to industrial production – where automating the object recognition process is more efficient, safer or economical, using a computer with the ability Identifying objects in conjunction with a camera or other optical image capture device (data).


Operating principle

The process of recognizing physical objects requires very specialized algorithms (mathematical equations). These algorithms allow the computer to "recognize" an object that is presented to it compared to a list of objects stored in its memory or a database. In order to resembles more with the human visual recognition process, this specialized algorithm should be able to recognize objects at different distances, rotations, angles and illuminations. Many times, such technological applications require real-time data processing, so the speed of execution of the object identification algorithm becomes particularly important.


  • » Security Systems
  • » Robotic Vision Systems
  • » Industrial units with automated production line
  • » Search engines that recognize objects from photos
  • » Identification of road Signs
  • » etc.