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Computer vision, a field of computer science and engineering, studies and develops technology that allows computers to interpret and understand digital images. It is considered a subfield of artificial intelligence, which deals with how to create computers that can reason about the world.

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Computer vision has many practical applications, including in medical diagnosis, automatic inspection, and robot guidance. It is also used in the entertainment industry for intuitive video editing and 3D movie generation tasks.



One of the most important applications of computer vision is in the field of automatic object recognition. This involves training a computer to identify specific objects in digital images without human help. Once an object has been identified, the computer can track its position and movements over time. This can be used for tasks such as monitoring traffic patterns or monitoring the activity of animals in the wild.

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Computer vision is also used in facial recognition, a technology that can identify specific people from digital images. Facial recognition can be used for security, identification and tracking of criminals, and marketing research.



The future of computer vision is looking very promising. Shortly, we can expect to see computers that can identify objects in images and understand the context in which they are found. This will allow for more sophisticated applications such as image-based search engines and automatic scene and camera descriptions. Along with this, we can expect to see more computer vision applications in robotics, such as the development of intelligent cameras that adapt their behavior based on context.



Computer vision is a fascinating field that will continue to grow and develop into the future.

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