Warning

You are reading an old version of this documentation. If you want up-to-date information, please have a look at 4.2 .

3.2 Image Database Creation

Fig. 80 Candidate Selection - Image Database Creation finished

In order to feed the EYE+ neural network and train it to learn what differentiates a good from a bad candidate you need to generate an image database with parts with different orientations and positions on the production plate. You must provide at least 50 candidates in the database to proceed to the next step.

Important

Do not use the same image in the database twice. Apply vibration to flip the parts between each image acquisition or move them manually on the platform.

Note

You can add more than 50 candidates to the database if necessary or come back later to this step to add more images.