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    It helps machines detect objects, individuals, movements or scenes by examining visual data
                     collected through cameras, sensors and software.

                     Computer vision is the process of teaching computers how to see and interpret images and
                     videos, enabling them to understand visual information.

                     Working of Computer Vision

                     Computer vision works by capturing visual data through cameras or sensors, then processing that
                     data to identify objects, people or patterns. The system analyses images and videos, extracting
                     useful information to enable machines to interpret and understand visual content.

                                        Image                 Pre-processing            Feature Extraction
                                      Acquisition          (Cleaning, Correction)      (Shape, Color, Texture)

                                 Object Categorisation      Object Identification        Object Tracking
                                       (Classify)             (Detect & Locate)              (Follow)

                     Let us understand how the computer vision works:
                     1.  Image acquisition: The computer  captures  an image  using  a camera, sensor or scanner,
                        similar to how we take photos or scan documents.

                     2.  Pre-processing: The captured image is pre-processed by cleaning and enhancing it, which
                        includes removing noise, adjusting brightness and improving image quality for better
                        analysis.

                     3.  Feature extraction: The system extracts important features from the image, such as edges,
                        shapes, colours and textures, to help in understanding the visual content.

                     4.  Object categorisation: The system categorises the detected features into general classes,
                        such as identifying whether the object belongs to categories like a car, person or animal.

                     5.  Object identification: The system identifies the exact object by matching it with stored data
                        or patterns to determine what the object specifically is.
                     6.  Object tracking: The system tracks the movement of the identified object across multiple
                        frames or images, such as following a moving car or a walking person in a video.

                                                                                       AI Domains and Applications     17

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