What is the cv algorithm?

Computer vision is a science that studies how to make machines "see". Further, it refers to using cameras and computers to identify, track and measure targets instead of human eyes, and further processing the graphics, so that computers can process images that are more suitable for human eyes to observe or send them to instruments for detection.

As a scientific discipline, computer vision studies related theories and technologies, trying to establish an artificial intelligence system that can obtain' information' from images or multidimensional data. The information here refers to the information defined by Shannon, which can be used to help make "decisions".

Because perception can be regarded as extracting information from sensory signals, computer vision can also be regarded as a science to study how to make artificial systems "perceive" from images or multidimensional data.

Examples of computer vision applications include system applications:

(1) Control process, for example, an industrial robot.

(2) Navigation, for example, by autonomous vehicles or mobile robots.

(3) Detected events, such as video surveillance and demographics.

(4) Organizing information, such as an index database of images and image sequences.

(5) Modeling an object or environment, such as a medical image analysis system or a terrain model.

(6) Interaction, for example, when input to a device, is used for computer-human interaction.

(7) Automatic detection, for example, in manufacturing applications.