# Validate Training

Use the Monitoring View to check how well the vision sensor performs in practice. You are ready with the training when the vision sensor consistently and correctly labels new parts with two or three bars.

## Procedure

1. Go to the Finalize or to the Home tab if not already there.

2. Click Enter Monitoring View.

3. Place a part in front of the vision sensor.

4. Check if the vision sensor correctly labels the part.

5. Keep showing parts to the vision sensor and checking the results.

   - Check how often the vision sensor correctly labels parts with two or three confidence levels.

   - Check the number of ERR images and troubleshoot them.

   - For the Classifiers, check how many images are labeled as Unclassified because they count as an error (ERR).

   - For the Counter, try altering the image by adding or removing objects, or adjusting their rotation.

6. Continue until you are satisfied with the results.

7. Click Exit Monitoring View.

Best Practices

- Click View to focus on the Region of Interest.

- For the Anomaly Detector, click Heat Map to highlight the areas that the vision sensor sees as an anomaly.

- For the Classifiers, click Text to show the label of the class on the live feed.

Troubleshooting

The following possible issues can result in ERR images:

- The vision sensor does not recognize the part. Go back to the Train step and label more parts.

- The vision sensor does not correctly see the part. For example, the fixture is missing or the Region of Interest is out of bounds. Go back to the Set ROI step and adjust the ROI, or add a fixture.

For more information about ERR images, see Possible Causes of ERR Statistics