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business and enhance customer satisfaction. The computer vision-
                based  OCR has  applications  beyond  the boundaries,  it  helps in
                extracting information from digitized documents and pdf in several
                languages,  digits,  currency symbols,  and  more. In  simple  words,
                digital  documentation  can efficiently enhance the documentation
                process and advance customer operations.

                                                  u   Drones:  With the advancement in  the field  of  computer  vision
                                                      technology, drone technology has been used to reduce the costs of
                                                      acquiring huge sets of aerial imagery. Computer vision, combined
                                                      with recent breakthroughs  in  Machine Learning,  presents lots  of
                                                      promise for Agricultural firms. Computer Vision can help farmers to
                                                      spot crop diseases, predict crop yields, and, overall, automate the
                                                      time-consuming processes on manual field inspection.


             u   Augmented Reality and Mixed Reality: Computer vision plays an important role in augmented and mixed reality,
                the technology that enables computing devices such as smartphones, tablets and smart glasses to overlay and
                embed virtual objects on real world imagery. Using computer vision, AR gear detects objects in the real world
                in order to determine the locations on a device’s display to place a virtual object. For instance, computer vision
                algorithms can help AR applications detect planes such as tabletops, walls and floors, a very important part of
                establishing depth and dimensions and placing virtual objects in the physical world.


                    AI Activity
                    AI Activity
                                                                                                     Computer Vision
              Emoji Scavenger Hunt
              Emoji Scavenger Hunt,an  example of a web browser  game uses  the power of Computer Vision to
              recognise the real life versions of the daily used emoji.
              Prerequisites
              The basic prerequisite to play this game are:
                  ●  Mobile devices like Smartphones, etc.            ●   Android/ Safari or iOS operating system
                  ●  A Phone Camera
              Game Overview
              Several machine learning tools are used in this game. A basic
              principle of this game is that a computer asks the user to use
              the phone’s camera to recognise an object that matches an
              emoji within a given time frame. Note that you will get lower
              time with each find.
              How To Play Online?

              To play this game online, go to the web browser and write the following URL in the address bar: https://
              emojiscavengerhunt.withgoogle.com/. By doing this, you will get the following screen:
              On this screen, you should click on the Let’s Play button to play this game. After playing this game,
              answer the following questions:
                  ●  How many games have you played?
                  ●  Write the number of games in which you are the winner.
                  ●  Which kind of strategy were you adopted to win the game?
                  ●  Was the computer able to identify all the items you bought in front of it?
                  ●  Did the lighting effect of the room affect the identification process of items by the machine?


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