AI Modules

Find links below to the following AI Modules for image processing, displayed by category:

MODULES by RECOGNITION METHODS:

Anomaly of Surface - searches for anomalies in the image.

Classifier - object classification.

Detector - searches for objects (and optionally classifies them).

Surface Detection - surface recognition.

Measure - measuring dimensions of objects.

OCR - recognizing characters/words in the image.

MODULES by EDDITING TOOLS:

PreProcess - tool for image editing before the next processing.

Mask - tool designed to cover parts of the image which should be ignored.

Unifier - unifies the position and rotation of the objects in the images for further processing.

MODULES by ENHANCEMENTS:

Code - image processing by a custom code

Parallelism - parallelism enables parallel processing between branches.

Artificial Intelligence modules are trained based on user-annotated models. The user then selects which model should be used for the module.

The principle of image processing is based on a one-way passage through the modules, where each module processes the image and sends new information to the next module.

In some cases, selecting a single module may be sufficient to achieve a successful result.

The order of modules is called Flow and the software runs through the flow with a top to bottom direction.

By clicking in Edit button, the flow can be configured, you can add modules by using + button on a desired position, which shows the following pop up window, containing brief information about each module:

You can also Remove, Rename or Add notes to existing modules in the Flow.

Modules communicate between them via Context.