ROI placed incorrectly in Anomaly Detection

[Daniel_Majano]

Hello, I have the following configuration of vision functions.

My idea is to detect an object using Matching and then send the coordinates of the object to the AnomalyDetection function. I use this for cropping my images in preparation for the training of the neural network.

It goes well during the first execution.

This is an example of my raw image being analyzed by the matching function:

This is an example of my cropped image after I set the ROI in the Anomaly Detection function:

The issue comes when I save, close and open the “Offline parametrization” window, now my cropped image looks like this:

It looks like the ROI has shifted.

I’m using AS 4.12.6.106 with the following runtime versions:

I successfully trained my model using the cropped images from my initial execution. However, when testing my application, the incorrect placement of the ROI results in all images being detected with anomalies.

What could be the problem? I have used this method of sending the coordinates to functions like Measurement and it works well in offline mode.

Thank you!

[kamil.ruzicka (Kamil Růžička)]

Hello Daniel,

It appears there has been an incorrect use of the Alignment input in the Matching function. After training the model within the Matching function, it is necessary to perform the Matching function with an Alignment input of 1 (SetReference). Subsequently, switch the Alignment input to 2 (GenerateAlignmentData) and run the Matching function again. Then, transition to the Anomaly Detection function, correctly align the ROI on the object, and execute the Anomaly Detection function. Following these steps, save the Vision application to ensure that the alignment parameters are stored for future use.

Any subsequent execution of functions, including those from AR using I/O, should be performed with the Alignment input set to 2 (GenerateAlignmentData). This should result in proper alignment on the desired object.

Give it a try and let me know if it succeeds.

Kamil

[Daniel_Majano]

Hello Kamil,

It worked! Thank you

Here is an example of my Anomaly Detection running with help from the Matching function:

Good:

Anomaly: