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In the field of automated industrial production it has been possible to improve product quality and productivity thanks to machine vision. Using cameras, computers and certain software applications the system achieves its capability to see, to recognize properties and to make decisions. Images that are recorded are evaluated with the aid of a computer, and information (e.g. colors, shapes, codes etc.) relevant to decisions are passed on to the controller. Depending on the information that is received, a comparison with the desired state triggers pre-defined actions.

This makes it possible, for example, to sort out packaging with defective labeling from the production process, to check that components are assembled correctly, to inspect the surfaces of giant LCD panels or to check the filling level of beverage bottles.

Typical tasks:




Vermessung von Winkeln


Measure


Dimensions, surfaces, volumes, sizes, angles, number, etc.




Kugellagern


Pinpoint


Detect presence or find exact position of objects (2 or 3 axes)




Füllstandskontrolle


Inspect


Shapes, filling levels, labels, surfaces/finishes, etc.




Lebensmittelverpackung


Identify


Text, symbols, codes, colors, patterns, etc.





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