Industry Automation and Drive Technologies - SCE

Click on the button Set up.

Here, we specify the parameters for image pickup and image evaluation.

To create patterns that can be recognized, edges -that is, the transition from light to dark or vice versa- of the image are used. Although the algorithm extracts the edges automatically, the user has to provide for an image rich in contrasts through optimum exposure; i.e., to generate models that are recognizable, creating an image that is rich in contrasts through optimum exposure is a precondition.

Automatic exposure time should be selected only if the object to be checked is not moving.

Selecting the accuracy is based on the size of the search ranges and on the detectable changes of the object to be checked. Parts in the image are searched for pyramidically.

We start with a rough search with low resolution, and conclude with a detail search with a high resolution.

The accuracy influences the rough and detailed search.

The higher the checking accuracy, the longer the evaluation takes.

Additional information is provided in Chapter 4 of the operating instructions "Image Processing System Vision Sensor SIMATIC VS120“.

TIA Training Document

Page 36 of 47

Module

E12

 

 

Status: 01/2010

Vision Sensor Shape Check with SIMATIC S7-300F 2PN/DP and VS120

Page 36
Image 36
Siemens E12 manual Industry Automation and Drive Technologies SCE