Visual control

Machine vision for visual control: This is based on recognition of different pixels and their patterns. Using neural networks and artificial intelligence, we can teach the system to recognize and then check, in real time, object colours and the presence of objects, measure distances, scan multiple code types and much more. The detection algorithms are continuously enhanced by machine learning.

Automation

We not only automate quality control but also different workstation types. Our computer vision solution system also controls and monitors robots. Robot movements are controlled by the ROS (Robot Operating System), which lets us dynamically respond to production needs.