Machine vision
Applications in industrial sectors
Quality control
Inspection control
Robotic vision
ADMIN4.0 quality control
The ADMIN4.0 system allows you to create quality control camera functions and use them to check the correct execution of a task or the entire product. There is a range from basic inspection functions to learned neural network inspections and 3D scanning with deviation analysis. An inspection system set up in this way completely eliminates defects in the final product and, by linking with the visual guidance workstation, can automatically condition the inspection of individual work steps. Using position recognition functions, it is possible to determine the position of objects in the workspace and thus dynamically adjust the position of the inspection and visual guidance functions or use the position as coordinates for the robotic arm.
We use technology
Flir and Basler
2D line camera for simple 2D inspections, neural networks and object position detection
Intel Real Sense
3D Hand Tracking camera for operator hand detection
Basler Blaze
3D camera for detecting the presence of objects and checking their shapes
Photoneo
3D static scanner with precision for detailed inspection of object design
Keyence
2D/3D scanner for high-precision scan-in-motion analysis
