Workflow

Anyone can do Machine Vision.

Machine Vision is a complex topic that requires a great deal of expertise. Nevertheless, with our workflow editor, we are trying to make Machine Vision more tangible and offer solutions that can be used without further programming skills.

You can use the workflow editor to configure where your data comes from, what you want to do with it and how you want to pass it on. The workflow offers a mixture of standard and customized nodes. In addition to the images to be processed, you can also obtain information from databases, HTTP residual services or PLCs and link these to your image processing results.

The biggest advantages

The Library

The library now comprises over 64 nodes that can be used for simple Machine Vision.

Connection

Various cloud and network nodes

Functions

A selection of logic nodes, mathematical functions, converter nodes and queries.

Hardware

Device IO node, node for the image source and system information

Image Processing

Various nodes for Machine Vision from Custom Tools to Open CV and the Vision Framework

The canvas

A workflow is compiled from a large number of nodes.

canvas 1 e1689775960195

The left-hand sockets are the input values of the node. These are either values that are transmitted to this node by another node or, depending on the node, can be specified in the Node Inputs field.

data

The sockets on the right are the output values of the node. These are the processed values that can be passed on to the next node.

nodesettings

Most nodes also offer the option of setting additional settings.

Further and more detailed information can be found in the manual.

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