Page 135 - TrackpadV5.1_class8
P. 135

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


                 The two technologies required to accomplish computer vision works are as follows:
                   Machine Learning (Deep Learning)

                   Convolutional Neural Network (CNN)

                 Machine learning  enables a computer  to understand the context  of visual data  by using
                 algorithmic models. To achieve this, enough data needs to be fed through the model so that the
                 computer can teach itself to recognise images.







                                                                                 Artificial Intelligence and Its Domains  133
   130   131   132   133   134   135   136   137   138   139   140