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Smart Shopping Assistants

                  Smart Shopping Assistants are changing the way we
                  shop by using Computer Vision (CV) technology to
                  make shopping easier and faster. Retailers use CV to

                  help with many tasks, like identifying products on
                  shelves, keeping track of stock, and letting customers
                  check out without needing a cashier. This technology

                  is improving both how customers shop and how
                  stores manage their products, making the shopping
                  experience quicker, more convenient, and more personal.




                                                           Gaming (Augmented Reality)
                                                           Through the  player’s  camera, games like Pokémon Go

                                                           utilise computer vision to allow virtual objects to appear
                                                           and move in the real world.







                  Traffic Management
                  Computer vision in smart  cameras monitors roads,

                  counts vehicles, helps control traffic flow, and detects
                  accidents or rule violations more effectively.






                                Brainy Fact


                        Google  Translate  was  first  released  in  April  2006  and  originally  used  statistical
                        machine translation (SMT) before switching to AI-powered neural translation (NMT)
                        in 2016 for better accuracy.



                                                           Activity Recognition in Health Apps
                                 Hello, Jack
                        Welcome to  How do you feel today?  Calories  Time
                      Fitness app!  Mon  Thu  wed  Thrs  Fri  Sa  1,132 kcal  641 min
                                                           Fitness or health apps utilise Computer Vision to recognise
                                 15  16  17  18  19  20
                                 Walk
                                      Sleep  8.0hour
                                   3214
                                   Step                    human activities by analysing video or image data. This
                                      Water
                                             Protein  Fat  Net Carbs
                                 Heart rate  1,6liters  40,5 g  18 g  71 g
                                                           technology enables automated tracking of physical
                                  90bpm      Split squat
                                             Lorem ipsum dolor sit amet, consectetur
                                             adipiscing elit, sed do eiusmod.
                                                  18%
                                 Cycling  40min            activities such as walking, running, or specific exercises, as
                                             Bodyweight
                                             Lorem ipsum dolor sit amet, consectetur
                                             adipiscing elit, sed do eiusmod.
                       Start!     Eaten  750kcal  Yoga  25min  68%
                                                           well as detecting falls in the case of senior citizens.
                           68     Touchpad Artificial Intelligence (Ver. 2.0)-VI
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