Azure custom vision - Barcodes outliers detection

Hi all,

I would like to train a model that is able to identify wether a barcode is valid (properly readable by the scanner) or invalid (occluded,
wrinkled, with scratch ,...).

My model will identify barcodes outliers by classifying them into two categories : readable , not readable.

So my guess is that I should use [Custom vision] and train the model with 'readable' samples and 'unreadable' samples.

But I would like to know if there is a better approach/alternative within all the Azure AI services (for example, a service that natively handle barcodes analysis).

Any help would be appreciated.

Thanks
Antoine