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6.  What are the applications of Computer Vision in security systems?
                Ans.  Computer Vision is used in security systems for surveillance, facial recognition, detecting suspicious activities, and
                    monitoring public spaces. It helps identify threats and provide real-time alerts to security personnel.
                  7.  What is object detection in Computer Vision?

                Ans.  Object detection is the process of identifying or detecting the instances of real-world objects like cars, bicycles, buses,
                    animals, humans, or anything on which the detection model has been trained. This kind of system uses Object detection
                    algorithms to extract the features of the object and after that Machine Learning Algorithms will recognise the instances
                    of an object category by matching it with the sample images already fed into the system.
                  8.  What is an image processing?
                Ans.  Image processing involves manipulating and enhancing images to improve their quality or extract specific features.
                    It focuses on the technical manipulation of raw image data. For examples: Rescaling Images, Correcting Brightness,
                    Changing Tones, Enhancing Edges, etc.

              B.  Long answer type questions.
                  1.  What is Computer Vision and how does it relate to Artificial Intelligence (AI)?
                Ans.  Computer Vision means giving the ability to the computer to see the world just like humans. It is a domain of
                    Artificial Intelligence that enables computers to see, observe and understand digital images or data, process them
                    by acquiring, screening, analysing, identifying and extracting information using the machine learning and neural
                    network algorithms.
                    Computer Vision works on the same phenomena as that of human vision. It is ruling the industries like manufacturing,
                    automobiles, power plants etc.
                    Computer Vision is a part of Artificial Intelligence (AI) that focuses on helping machines understand and interpret visual
                    information like images and videos. While AI works to make machines think like humans, Computer Vision gives them
                    the ability to "see." This allows machines to observe, recognise patterns, and gather useful information from visual data,
                    bringing them closer to how humans perceive the world with their eyes.
                  2.  Differentiate between Computer Vision and Image Processing.
                Ans.  The difference between Computer Vision and image processing.

                                      Computer Vision                                 Image Processing
                     Computer  Vision  enables  machines  to  understand  and  Image processing involves manipulating and enhancing
                     interpret visual information, such as identifying objects,  images  to  improve  their  quality  or  extract  specific
                     recognising patterns, or making decisions based on visual  features. It focuses on the technical manipulation of raw
                     inputs. It focuses on extracting high-level information to  image data.
                     mimic human vision.
                     Computer  Vision  is  a  superset  of  image  processing.  Image processing is a subset of Computer Vision. It means
                     It  means  that  Computer  Vision  encompasses  image  that  image  processing  is  one  component  within  the
                     processing  as  one  of  its  components  or  foundational  broader domain of Computer Vision. Image processing
                     steps, but extends beyond it to achieve higher-level tasks  provides foundational tools and techniques often used in
                     like recognition and decision-making.            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 without
                     machines to perform tasks like decision-making.  necessarily understanding their content.
                  3.  Describe the application of facial recognition in Computer Vision.
                Ans.  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.

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