IBM’s Verifier inspects (and verifies) diamonds, pills and materials

IBM’s Verifier inspects (and verifies) diamonds, pills and materials

It is not enough in this day and age that we have to deal with counterfeit news, we have to deal with fake prescription medicines, fake luxury goods, and fake Renaissance-era paintings. Sometimes all at once! IBM’s verifier is designed to be a gadget and platform (naturally) to clearly verify that it has been claimed by some to be inspected at the microscopic level.

Essentially you stick a little thing on your phone’s camera, open the app, and put the sensor against whatever you are trying to verify, whether it is a normal antidiripress or ore sample. By combining a bit of microscopy, spectroscopy and AI, the verifier looks at the known version of the item and tells you that they are the same.

The main component in this process is an “optical element” that sits in front of the camera (it can be anything that takes a decent image) which is in the amount of a special hyper-macro lens. This allows the camera to detect small features in the form of microns – for comparison, a human hair is typically a few dozen microns wide.

There are patterns and optical characteristics at the micron level that are not visible to human eyes, such as the wavelength of the light is properly shown. The quality of a knitting, the number of errors in a gem, the combination of metals in alloy … all the things that you or I miss, but in such instances, the trained machine learning system will get out immediately.

For example a fake tablet, though printed like orange and smooth and as a real person, if someone had to look at it, then it would probably look completely different at the subtle level: Textures and structures with a very specific pattern, Or at least the specific real thing – not to mention a spectral sign that is probably different. There is no reason for things like expensive wine or oil, polluted water, currency, and other things.

IBM was eager to highlight AI element, which is trained on different patterns and there is a difference between them, however as far as I can say it is a simple straightforward classification task. I am more impressed with the lenses which they have put together which can solve at a micron level with very little distortion and can not remove or deform the colors too much. It also works on many phones – you do not have this or that model.

By imaging the stones from many angles, the individual identity of the diamond can be recorded and tracked so that its emergence and trail can be tracked through the industry over the years. Here IBM assumes that blockbars will be useful, which is possible but not actually provided.

Before you can get one of your own, but here it is expected that this type of technique will become so popular that you can check quality or make-up without at least some laboratories.

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