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This is interesting - I couldn’t determine how they train them system to recognise all the products though.

Flavour variants, special promotional packaging etc make training hard due to the sheer size of images that need to be in a training dataset to yield accurate results.

How is this achieved?

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This is likely done using OCR:

> OCR is executed on the ROI for each camera frame in order to extract additional information, such as packet size, product flavor variant, etc.

You could probably also do some very simple statistics like a colour histogram on the box, once you had high certainty of the product line.

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