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Computer  Vision  is  a  superset  of  image  processing.  Image processing is a subset of Computer Vision.
                  It  means  that  Computer  Vision  encompasses  image  It means that image processing is one component
                  processing  as  one  of  its  components  or  foundational  within  the  broader  domain  of  Computer  Vision.
                  steps, but extends beyond it to achieve higher-level tasks  Image processing provides foundational tools and
                  like recognition and decision-making.                 techniques often used in Computer Vision tasks.
                  It  operates  at  a  higher  level  of  abstraction,  focusing  It operates at a lower level, primarily working with
                  on  deriving  meaning  from  visual  inputs  and  enabling  pixel-level  data  to  transform  or  analyse  images
                  machines to perform tasks like decision-making.       without necessarily understanding their content.
                  Real-world examples                                   Real -world examples
                  •   Self-driving  cars  recognising  road  signs  and  •  Enhancing satellite images for better resolution.
                    pedestrians.                                        •  Removing red-eye effects in photos.
                  •   Augmented  Reality  (AR)  and  Virtual  Reality  (VR)   •  Converting colour images to grayscale.
                    environments.
                  •   Automated surveillance systems detecting suspicious
                    activities.



                         Applications of Computer Vision

                 Computer Vision is a technology that started in the 1970s. At that time, it was a new and exciting idea, but the
                 technology wasn’t good enough for everyone to use. People could only dream, how it could change the world.
                 Now, Computer Vision has improved a lot. With better algorithms and programs, faster computers and more data,
                 things that seemed impossible in the past are now easy to use every day. It helps machines see and understand
                 the world, just like humans do.
                 Recently, the technology has advanced even more and is now centre of innovations. It helps businesses work
                 faster, do tasks automatically, and create new possibilities. Computer Vision is used in many fields, like healthcare,
                 shopping and entertainment. It is making the world smarter, safer and more efficient.
                 Let us learn about some applications of Computer Vision.

                 Facial Recognition

                 Facial recognition is a technology that uses Computer Vision to identify and verify
                 people based on their facial features. It has become an important part of smart cities
                 and smart homes, making life more convenient, secure, and efficient.
                 This technology removes the need for keys, cards, or manual attendance checks,
                 making tasks faster and easier. It can quickly detect and alert you to unfamiliar faces,
                 ensuring safety at home, school, or other places.
                 Facial recognition helps make homes safer and smarter in several ways:
                    • Security: Smart home systems can recognise family members or regular visitors,
                   allowing them to enter without keys or codes. This ensures that only trusted people can access your home.
                    • Visitor records: Smart devices can keep track of visitors by recognising their faces and logging the details. This
                   makes it easy to see who visited and when.
                 Schools are also using facial recognition for various tasks:
                    • Attendance:  Instead  of  calling  out  names  or  signing  in,  students’  faces  are  scanned  to  mark  attendance
                   automatically. This saves time and reduces mistakes.
                    • Access control: Facial recognition ensures that only authorised people can enter certain areas, such as labs or
                   staff rooms, keeping them secure.

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