Combine up to 32 feature checks for diverse inspection tasks
High-performance feature checks
VeriSens vision sensors allow you to accomplish your inspection tasks in no time at all: Recognize errors during ongoing production and react immediately, precisely control robots for pick and place applications, check the best-before date for correctness, or check the correct positioning of assembled items. This extensive range of applications is enabled by the 23 high-performance feature checks that are additionally optimized for easy handling.
The most extensive range of functions is offered by the 700/800 models of the XF and XC series. You can benefit from up to 22 feature checks, ensuring that you have the optimal image tools available for every application. If, for example, a package should be inspected at the bottler after packaging, there are many features to be checked. Is the content fully present in the package? Is the label attached within specified tolerances? Is the correct inscription on the label in case of production for various resellers? Is the correct bar code (EAN-13/GTIN-13) on the label and readable? Is the printed best-before date correct?
With the VeriSens vision sensors, you can easily accomplish this inspection task with a single image acquisition, as up to 32 feature checks can be combined in an inspection task (job). By the way: A VeriSens vision sensor stores up to 255 jobs. This ensures your flexibility with different products.
Part location on contours (FEXLoc)
Determines the location and rotational position of a part based on its contours. All subsequent feature checks are aligned according to the determined position.
Part location on edges (FEXLoc)
Determines the location and rotational position of a part based on a single edge or two edges at a right angle to each other. All subsequent feature checks are aligned according to the determined position.
Part location on circle (FEXLoc)
Determines the location and rotational position of circular parts. All subsequent feature checks are aligned according to the determined position.
Part location on text line
Determines the location and rotational position of text within a field of view. The text can change. All subsequent feature checks are aligned according to the determined position.
Determines the distance between two edges.
Determines the diameter, the location, and roundness compared to a reference circle.
Determines the angle between two edges.
Determines the number of edges along a tracing ray.
Determines the coordinates of one point.
Compares the distances of edges along a tracing ray.
Count contour points
Determines the number of contour points within a field of view.
Compares the contour of a taught-in part with the contour of the current part.
Identifies the color within a field of view and its deviation from the reference color.
Determines the average brightness in a field of view.
Calculates the contrast in a field of view.
Identifies light or dark respectively color-defined areas in the image. Determines the total area or the largest continuous area.
Counts the continuous light or dark respectively color-defined areas visible in the image.
Compares the field of view with a taught-in pattern.
Finding object positions
Finds several objects based on a taught one.
Verifies the presence of defined colors within defined image sections.
Reads barcodes. Determines quality according to ISO / IEC 15416, results output via process interface, comparison to a set value possible.
Reads matrix codes (ECC 200, GS1, QR, PDF417) in any angle of rotation. Determines quality according to ISO / IEC 15415 or AIM DPM-1-2006, results output via process interface, comparison to a set value possible.
Reads numbers and characters. Output of the read characters via process interface, comparison to a set value possible.