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speech recognition, pattern recognition, human communication, or visual information processing.
Each of these domains is unique and is shaping the future of technology. Their applications span
various industries, driving innovation and improving efficiency. As AI continues to evolve, the
potential for these domains to further transform our daily lives is immense, paving the way for
more innovative solutions to complex challenges. Mainly, there are three domains of AI.

Domains of AI

Natural Language
Comptuer Vision Statistical Data
Processing (NLP)

COMPUTER VISION (CV)

Computer Vision, a domain of AI, helps machines

recognise objects, people, and patterns. It replicates
human sight and the cognitive ability to interpret
visual data. Computer Vision teaches computers to
understand and interpret images and videos.
It assists machines in recognising objects, people,

movements, or scenes by analysing visual data
obtained from cameras, sensors, and software.
Computer Vision = Teaching computers how to “see”
and “understand” pictures and videos

Tech Hint

CNNs (Convolutional Neural Networks) are the foundation of most modern computer
vision systems, which enable tasks like object detection and image classification.

Applications of Computer Vision

Computer vision can be used for the following applications:

Face recognition

AI is used in face recognition for devices like smartphones.
Face unlock functionality, where the phone recognises the
user’s face and grants access, is a popular example of AI
in action. This technology uses computer vision algorithms
to match the captured face with the stored data.

Exploring AI Domains 91