prev. page

Testing functions

Vision Q.400 provides highly efficient tools. You can use it to configure typical tests and the recognition function, whereby Vision Q.400 can work with images from either greyscale or colour cameras.

Dimensional inspection

 

High precision measurement, e.g. of distances, angles, radii, diameters and surfaces. Depending on the boundary conditions (camera optics, lighting), a repeatability of 1/20 pixels or a few micrometers is feasible.

Presence /completeness check

 

By identifying missing or unwanted details in the camera image, it is easy to perform a component presence check, and to classify or sort objects.

Object / pattern recognition

 

A variety of procedures enable the recognition of patterns or structures. A particularly elegant approach is contour comparison, which can even identify overlapping characteristics, or characteristics that vary in size and shape.

Character recognition (OCR/OCV)

 

The algorithm employed here recognises characters based on fonts it has been trained to identify. It is possible to achieve extremely high recognition rates, even in hard to read characters like those of dot matrix printing or "direct part marking" on metal.

Determining code content & quality

 

Vision Q.400 can read numerous barcodes and 2D codes, even under critical conditions. Codes marked directly on the component (DPM) are also reliably recognised. Optionally, code quality is determined and output in accordance with ISO/IEC 15415 or AIM DPM-1-2006.

Position and orientation identification

 

A secondary action of object recognition is also the position information (x, y, angle) of the identified objects. This data can be used e.g. for Pick & Place tasks sent to a handling robot or in order to perform assembly inspections.

Surface/print inspection

 

Identifying extremely small defects or imperfections over relatively large surface areas is one of the most demanding testing tasks. Vision Q.400 offers several efficient and rapid solutions to this end.

Image enhancement/filtering

 

It is not always possible to perform optical imaging on a test object, and in some cases disruptive boundary conditions can lead to unsuitable image quality. Various algorithms in Vision Q.400 permit the enhancement and pre-processing of such images before they are subjected to the actual inspection process.