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                    Answer the following questions:
                    1.   How do we see and understand objects?





                    2.  What does Computer Vision aim to achieve in training machines?










                         Why is Computer Vision Important?



                 Computer  Vision enables machines to  perceive  and  interpret  images and  videos much  like
                 humans. This ability unlocks numerous applications across industries, improving both accuracy
                 and decision-making.

                 Here are few more factors:

                 1.  Better automation and faster work: Computer Vision helps
                     machines do jobs that take a lot of time for people, like
                     checking if products are made correctly in a factory. Machines

                     can look at many pictures very fast—much faster than humans.
                     This saves time and money.

                 2.  More accurate results and smarter choices: Computer Vision
                     can find tiny details in pictures that humans might miss. It is
                     very useful in places like hospitals, where it helps doctors find

                     diseases, or in factories, where it checks for mistakes. This helps
                     people make better decisions.

                 3.  Cool experiences with AR and VR: In Augmented Reality (AR)
                     and Virtual Reality (VR), Computer Vision mixes the real world with the digital world. For
                     example, it helps people try clothes online or find things by just taking a picture. In factories,
                     it helps with keeping track of items and finding broken things.


                 4.  Helping humans see more: Computer Vision can show people things they might not notice
                     on their own. It gives extra information that helps people understand pictures, videos, and
                     their surroundings better.



                                                                     Computer Vision and Its Applications   63
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