Recipe Editor

Navigation Bar: Click on the Recipe name (i.e., “Assembly Check” in this example) to return to this page from any Recipe Editor sub-menu.

Recipe Name / PLC Recipe ID / Description: The Recipe information displayed here may be edited by clicking on the ✏️ Edit button to the right of each field.

Export Recipe: Click here to export a copy of the active Recipe to your computer. You can choose to export with or without library captures associated with the Recipe—training images will be included in all instances.

Imaging Setup: Adjust focus, exposure, gain, and lighting settings to obtain the best image quality for inspection, and select from different trigger options to suit your use case.

AI Blocks: Define your deep learning inspection task using intuitive configurators organized into 3 modules:

• Template Image and Alignment: Capture a Template Image as a reference for your inspection program, and use pattern-matching to locate and orient parts for relative inspection.

• Inspection Setup: Draw Regions of Interest (ROIs) on the Template Image to define key inspection areas, and group regions with similar appearances or failure modes into multiple Inspection Types.

• Classification Block: Train a deep learning model to determine what’s inside a Region of Interest.

  or

• Label And Train: Train a deep learning model to take an image and segment classes at a pixel-level based on labeled defects.

IO Block: Define Pass/Fail rules for each captured image, and use a built-in Node-RED editor to customize digital IO functions, complex logic, and web-based dashboards and user interfaces.

FTP: Send captured images to a remote server using the File Transfer Protocol (FTP).