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                     1.  How do we see and understand objects?

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




              Before we go into the details of Computer Vision let us first play a game to understand it.
                                                                                              21 st  Century   #Creativity
                                                                                                  Skills
                                    GAME         01               Emoji Scavenger Hunt

                   Visit https://emojiscavengerhunt.withgoogle.com/ or scan the QR code to play
                   the game.
                   In this game, you will be tasked with finding 8 items within the time limit.
                   Answer the following questions, after playing the game:
                   1.   Did you like the game?
                   2.  Were you able to play successfully? If yes, how many attempts did it take?
                   3.   Did you manage to win the game? If yes, what strategy or approach did you use to win?
                   4.  Did the lighting in the room affect the machine's ability to identify items?
                   5.  How many items did you show to the computer camera?



              Computer Vision and Artificial Intelligence

              Computer  Vision  is  a  part  of  Artificial  Intelligence  (AI)  that  focuses  on   Artificial Intelligence
              helping machines understand and interpret visual information like images
              and videos. While AI works to make machines think like humans, Computer            Machine Learning
              Vision    gives  them  the  ability  to  "see."  This  allows  machines  to  observe,
                                                                                                  Deep Learning
              recognise patterns, and gather useful information from visual data, bringing
              them closer to how humans perceive the world with their eyes.
              Computer Vision Vs. Image Processing
                                                                                              Computer
              It’s a common misconception that Computer Vision and Image Processing            Vision
              are the same because both deal with visual data such as images and videos.
              However, they serve different purposes within the realm of technology and Artificial Intelligence (AI).
              Let us learn the difference between Computer Vision and Image Processing.

                                 Computer Vision                                     Image Processing
               Computer  Vision  enables  machines  to  understand  and  Image  processing  involves  manipulating  and
               interpret visual information, such as identifying objects,  enhancing  images  to  improve  their  quality  or
               recognising patterns, or making decisions based on visual  extract specific features. It focuses on the technical
               inputs. It focuses on extracting high-level information to  manipulation of raw image data.
               mimic human vision.                                    For   example,   Rescaling   Images,   Correcting
               For example, Object Detection, Handwriting Recognition,  Brightness, Changing Tones, Enhancing Edges, etc.
               Facial Recognition, etc.




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