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• Improving  security:  Computer  Vision  can  detect  unusual  behaviour,  providing  real-time  alerts  to  security
                   personnel, which helps prevent theft or other suspicious activities.
                    • Checkout-free shopping: Stores like Amazon Go use Computer Vision to allow customers to pick up items,
                   automatically charging them when they leave, thereby eliminating the traditional checkout process.

                 Self-Driving Cars

                 Computer Vision plays a key role in making self-driving cars (also
                 known as autonomous vehicles) possible. These cars use Computer
                 Vision  to  "see"  and  understand  the  world  around  them,  just  like
                 humans use their eyes to observe their surroundings.
                 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.




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