It’s not a secret AI Is everywhere, but it’s not always clear when you’re interacting, not to mention which particular technique is working. But one subset is easy to recognize. If the experience is intelligent and includes photos and videos, or is somehow visual, computer vision may be working behind the scenes.
Computer vision is a subfield of AI, especially machine learning. If AI allows machines to “think,” computer vision allows them to “see.” More technically, it enables machines to recognize, understand, and respond to visual information such as photos, videos, and other visual inputs.
In the last few years, computer vision has become a major driver of AI. This technique is widely used in industries such as manufacturing, e-commerce, agriculture, automotive and medical. Power everything from interactive Snapchat lenses to sports broadcasts, AR-based shopping, medical analytics, and self-driving capabilities. And by 2022, the global subfield market projection It is expected to reach $ 48.6 billion annually, up from just $ 6.6 billion in 2015.
The story of computer vision follows the story of the entire AI. A slow rise full of technical hurdles. A big boom made possible by a large amount of data. Rapid proliferation. And there is growing concern about bias and how technology is being used. To understand computer vision, it is important to understand how computer vision works and is used, and both the challenges it has overcome and the challenges it still faces.
Continue reading: https://illinoisnewstoday.com/how-computer-vision-works-and-why-it-suffers-from-prejudice/343390/
Computer vision is a subfield of AI, especially machine learning. If AI allows machines to “think,” computer vision allows them to “see.” More technically, it enables machines to recognize, understand, and respond to visual information such as photos, videos, and other visual inputs.
In the last few years, computer vision has become a major driver of AI. This technique is widely used in industries such as manufacturing, e-commerce, agriculture, automotive and medical. Power everything from interactive Snapchat lenses to sports broadcasts, AR-based shopping, medical analytics, and self-driving capabilities. And by 2022, the global subfield market projection It is expected to reach $ 48.6 billion annually, up from just $ 6.6 billion in 2015.
The story of computer vision follows the story of the entire AI. A slow rise full of technical hurdles. A big boom made possible by a large amount of data. Rapid proliferation. And there is growing concern about bias and how technology is being used. To understand computer vision, it is important to understand how computer vision works and is used, and both the challenges it has overcome and the challenges it still faces.
Continue reading: https://illinoisnewstoday.com/how-computer-vision-works-and-why-it-suffers-from-prejudice/343390/
