Sentence examples for computer vision technology from inspiring English sources

The phrase "computer vision technology" is grammatically correct and can be used in written English
It refers to the use of computers and algorithms to analyze and interpret visual data, such as images and videos. You can use the phrase "computer vision technology" in a sentence when talking about advancements in the field of artificial intelligence or when discussing the use of technology in fields such as self-driving cars or medical imaging. Example: "The development of computer vision technology has revolutionized the way we interact with our devices, allowing for facial recognition, virtual reality, and augmented reality experiences."

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These state-of-the-art cars combine Intel's compute power, Mobileye's computer vision technology, and BMW's advanced automated driving capabilities.

For example, in the field of computer vision technology, many dense stereo matching algorithms [13] are implemented to compute depth values from x-parallax disparity.

Further sprints will incorporate more advanced computer vision technology.

Computer vision technology could help identify features in jets.

The computer vision technology can obtain information about the surface of an object.

Computer vision technology is a sophisticated inspection technology that is in common use in various industries.

A maturity detection device based on computer vision technology was designed specifically to acquire the tomato images in the lab.

Such troubling statistics are what prompted the three Icelandic alumni to develop their portable medication verification device, which relies on computer vision technology.

When a user points the device and looks at an object, the software recognizes it through computer vision technology, which analyzes the video stream.

It does the same for the audio track, and it uses computer vision technology to measure the frequency of scene changes, providing a kind of time signature.

Mr. Sutskever was part of a three-researcher team at the University of Toronto that created key so-called computer vision technology.

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