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Computer Vision (CV) is a domain of Artificial Intelligence (AI) that enables computers or machines
to ‘see’ and interprets images and videos, much like humans do. It allows computers to extract
meaningful information from visual inputs. The insights gained from CV are then used to make
automated decisions or take appropriate actions. CV helps machines identify objects, people,
movements or scenes by analysing visual data—such as images or videos—through cameras,
sensors and specialised software.

HUMAN VISION VS COMPUTER VISION

Human Vision System

bowl, oranges,
bananas, apricots,
peaches

Eye Brain
Functions like a sensing device, Processor that inerprets images
capturing images of the environment

Computer Vision System

bowl, oranges,
bananas, apricots,
peaches

Input Sensing device Interpreting device Output

Human vision allows us to observe, recognise and understand our surroundings through the
coordinated work of our eyes and brain. Computer Vision enables computers and machines to
perform similar tasks by analysing images and videos.
Let us understand in detail:

1. Awareness: Human eyes are natural and automatic. Humans are able to
identify familiar faces within seconds through perception and memory.
Computer Vision systems, on the other hand, must be trained with large
sets of data and algorithms in order to do the same thing.

For example, a human may easily identify a friend in a group of people, AI
can only identify faces after being trained on facial data.

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