Artificial Intelligence Modules

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

MODULES by RECOGNITION METHODS:

11.1 Anomaly of Surface- searches for anomalies in the image.

11.2 Classifier- object classification.

11.3Detector- searches for objects (and optionally classifies them).

11.4 Surface Detection- surface recognition.

11.5 Measure- measuring dimensions of objects.

11.6 OCR- recognizing characters/words in the image.

MODULES by EDDITING TOOLS:

11.7 PreProcess- tool for image editing before the next processing.

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

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

MODULES by ENHANCEMENTS:

11.10 Code- image processing by a custom code

11.11 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.