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Computer Vision helps self-driving cars in:
                    • Identifying objects: Self-driving cars have cameras and sensors that use Computer Vision to detect objects
                   around  them.  This  includes  other  vehicles,  pedestrians  crossings,  traffic  signs,  traffic  lights,  and  even  road
                   markings. By recognising these objects, the car can make safe decisions, such as stopping at a red light or
                   avoiding obstacles.
                    • Navigating routes: Computer Vision helps the car to determine the  optimal route by understanding the road
                   layout and identifying key points, such as intersections, lanes, and turns. It works along with other technologies
                   like GPS to ensure the car follows the correct route.
                    • Monitoring the environment: The car constantly monitors its environment using Computer Vision to track
                   the  distance  of  surrounding  vehicles,  ensure  the  road  is  clear,  or  detect  any  changes  that,  happen  in  the
                   surroundings. This allows the car to respond to unexpected situations, such as an animal crossing the road or
                   sudden changes in weather.

                 Medical Imaging

                 For  many  years,  computer-supported  medical  imaging  has  been  a  trusted  tool  for  doctors  and  medical
                 professionals.  This  technology  is  not  just  about  taking  and  viewing  images,  but  also  about  helping  doctors
                 analyse and interpret those images to understand a patient's health better.

















                 Computer Vision helps medical imaging in:
                    • Creating and analysing images: Medical imaging technologies, like X-rays, CT scans, and MRIs, capture detailed
                   images of a patient's body. Computer Vision helps doctors examine these images to look for signs of illness or
                   injury, such as broken bones, tumors, or other medical conditions.
                    • Converting 2D images to 3D models: One of the most important things Computer Vision can do in medical
                   imaging is convert flat 2D images (like a traditional X-ray) into interactive 3D models. These 3D models give
                   doctors a more detailed view of the body, allowing them to see things from different angles. This helps doctors
                   better understand the situation and make more accurate decisions.
                    • Helping doctors to interpret results: Computer Vision not only helps in taking images but also in interpreting
                   them. It can point out areas that need further attention, making it easier for doctors to spot problems that might
                   be hard to see with the naked eye. This is especially helpful in detecting small changes that might indicate the
                   beginning of a disease, such as early stages of cancer.
                    • Assisting in Surgery: Computer Vision is used in some surgeries to guide doctors. It can show real-time images
                   of the area being operated on, helping the surgeon make more precise cuts and decisions.

                 Google Translate App

                 The Google Translate app has a very handy feature that helps you read signs or text in a foreign
                 language. Instead of manually typing words or phrases to translate, you can simply point your phone’s
                 camera at the text, and the app will instantly show you the translation in your preferred language.

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