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All of those 3 steps of the CV process require

A lot of complex operations that are only possible thanks to machine learning. That’s why CV has just started to become more widespread, as the computing power and resources necessary for this technology to be a reality only became available in recent years.

However, as advanced as CV is today

There’s still a lot of room for growth. That’s country wise email marketing list mainly because we don’t truly understand the mechanisms we use to see the reality around us and how our brains interpret the complex objects we perceive. Without that knowledge, it’s almost impossible to replicate our sight through machines. In other words, we still need to work on the Understand part of CV. Still, researchers are working tirelessly to further explore our own vision and to comprehend its inner workings.

Modern uses of CV

The fact that CV isn’t fully developed might sound discouraging for you but don’t worry. CV, as it is today, is a very powerful technology that can serve a lot of purposes. Some of its current uses are perfect examples of what you can achieve when using it for a product.

Facial recognition:

The algorithms used in advanced surveillance cameras and security systems. As well as the ones embedded in Facebook that let you tag executive list your friends in photos are all powered by CV. The revolutionary Amazon Go store that allows customers to shop in a cashier-less environment is also possible by CV. That’s because this technology is used to link particular customers to their shopping lists, which are updated with the items they pick up from the shelves. Those are captured by cameras all around the store that “see” what clients are putting in their carts and automatically send the information to the virtual list. Once the customer walks out of the store. The service automatically generates a receipt and charges it to the person’s Amazon account.

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