Page 44 - KEC Khaitan C8 Flipbook
P. 44

Some examples of AI applications based on data are as follows:
                      Weather prediction models using AI need data such as temperature, humidity and all underlying
                    patterns that impact weather.

                      AI is used in the prediction of upcoming customer orders for the next season. This enables retailers
                    to plan the inventory and purchases which helps them predict and control the cost.
                      The software that controls vehicles works with the control radar system, lane control feature,
                    accident avoidance features, cameras, GPS, etc. All these technologies are AI based and rely
                    on data to function.
                      Companies like Google, Facebook and Amazon are ruling the world because they were the first
                    to build data sets. Amazon already knows what the customers are going to buy and all of this
                    has been possible because of predictive analytics and tons of customers’ data.


                  COMPUTER VISION
                  Computer vision is a subset of AI that helps machines see and extract meaning from pixels in
                  an image. It is a field of AI that enables computers to see, identify, and process images to derive
                  meaningful information from these images, videos, and other visual inputs. Computer vision is
                  important and linked to AI as AI enabled systems must interpret what it sees just like human
                  vision and act accordingly.

                  The goal of computer vision is to train machines to see, process, and provide useful results
                  based on its observations within a very short time. This can only be possible if lots of data is
                  provided to it which can be analysed over and over until it detects distinctions and ultimately
                  recognises images. For example, to train a machine to recognise a bowl of fruits with different
                  fruits, it needs to analyse multiple images of different fruits. The AI will learn to differentiate
                  between them based on features like shape, colour, and texture, enabling it to identify each
                  fruit accurately in the future.


                                                          Human Vision System




                                                                                        bowl, oranges,
                                                                                       bananas, lemons,
                                                                                          peaches



                                                     Eye                     Brain
                                            (sensing device responsible for capturing   interpreting device responsible for
                                                images of the environment)  understanding the image content

                                                         Computer Vision System



                                                                                              bowl, oranges,
                                                                                             bananas, lemons,
                                                                                                peaches


                                         Input         Sensing device   Interpreting device     Output




                   42   Premium Edition-VIII
   39   40   41   42   43   44   45   46   47   48   49