Medical Imaging:
Computer vision is extensively used in the field of medical imaging to assist in the diagnosis and treatment of various medical conditions. It helps in analyzing medical images such as X-rays, MRIs, and CT scans to detect abnormalities, tumors, fractures, and other medical issues. Computer vision algorithms can accurately segment and classify different structures and tissues in these images, providing valuable insights to healthcare professionals. This technology has significantly improved the speed and accuracy of diagnosis, leading to better patient outcomes.

Autonomous Vehicles:
Another important application of computer vision is in the development of autonomous vehicles. Computer vision systems integrated into self-driving cars enable them to perceive and understand their environment, making decisions in real-time to navigate safely on the roads. These systems use cameras and sensors to detect and recognize objects such as other vehicles, pedestrians, traffic signs, and lane markings. By analyzing this visual data, autonomous vehicles can make informed decisions on acceleration, braking, and steering, ensuring a smooth and safe driving experience. This technology has the potential to revolutionize transportation by reducing accidents and enhancing mobility for individuals.