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What do Facebook’s face recognition feature, Amazon’s Go store, Google Lens’s object detection, and Tesla’s Autopilot have in common? If you said that they all use some sort of artificial intelligence (AI) algorithm, then you were pretty close. More specifically, all of those things are based on computer vision (CV). This AI-based process is an impressive advancement that, though not precisely new, is becoming increasingly common in sophisticated products.
That’s because CV seeks to achieve something
That sounds easy but that’s far from unqualified staff make mistakes that lead to a variety of risks it – mimicking human sight. It’s hard to understand how something that comes naturally to us, humans, can be so complicated to replicate through machines. However, that’s precisely what happens with CV, a technology that as of now is starting to get closer to the mechanism we use to see and identify things.
Its current level of development made
It possible for CV to become relatively executive list common across businesses and products of all kinds. The best is yet to come, though. Once developers overcome the challenges that CV faces today, its potential will only increase. But before we get ahead of ourselves, let’s check some of the basics about how it works.