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Through these three steps—training, analysis and interpretation—the facial recognition system
                 becomes capable of accurately identifying individuals in real time.

                                                                                             21 st
                                                                                            Century   #Media Literacy
                                                                                             Skills
                           Video Session

                     Watch the video of "How Computer Vision Applications Work?" at the given
                     link:
                     https:/www.youtube.com/watch?v=oGvHtpJMO3M  OR scan  the  QR code
                     and answer the following question:

                     What do you understand by CNN?









                 APPLICATIONS OF COMPUTER VISION IN EVERYDAY LIFE

                 Whether it’s spotting faces, reading signs or sorting packages, Computer Vision is part of our daily
                 routine. CV is now present everywhere around us.
                 Let’s explore different applications where CV is used.

                 Face Recognition

                 Face recognition  is a technology  that  allows systems
                 to identify or verify a person based on the features of
                 their face. It works by capturing an image of a person's
                 face and comparing it to a database of known faces to
                 find a match. This technology uses specific algorithms
                 to  analyse  key  facial  features  such  as  the  distance
                 between the eyes, the shape of the nose and the contour
                 of the jawline. Face recognition is used in airports and
                 security systems to identify individuals. It is also used in
                 smartphones to unlock the screen or open apps using your face.

                                                            Autonomous Vehicles

                                                           Autonomous vehicles (also known as self-driving cars)
                                                           are equipped with a variety of advanced technologies,
                                                           including cameras, radars and sensors, to allow the
                                                           vehicle to navigate and make decisions without human
                                                           intervention. These vehicles use Computer Vision (CV)
                                                           and Artificial Intelligence (AI) algorithms to interpret the
                                                           data collected by these sensors and make real-time
                 decisions about how to drive safely The cameras and sensors in these vehicles are used to detect
                 traffic lights, pedestrians and road signs to drive safely.


                                                                        Computer Vision and Its Applications
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