What are different types of computer vision applications?
computer vision, also known as "Machine Vision", is a technology that uses camera and computer to interpret images. There are many different uses for this technology. Some of the most common computer vision applications are in medical, industrial and security fields. In addition, machine vision is distinctive in robotics. Data used in computer vision applications can be from a static source like a photo. This technology can also be used to interpret moving images, including live or pre -recorded actions captured through a video camera. The results of the microscope, X -ray images and ultrasonic images can be interpreted with this technology. Vision software can be programmed to detect abnormalities in medical photography. For example, a computer analysis can be used to find Tumors to an X -ray result. Computers are sometimes able to scan medical images and identify potential problems faster than human technicians.
Industrial applicationCE can also use machine vision. Factors often use computer vision to check goods for defects or sort objects based on attributes such as size and color. Some factories use high -resolution cameras to capture extremely detailed product images. Vision software is then used to automatically find small fractures or imperfections in the material. This technology is able to display details that are imperceptible to the naked eye.
There are several applications for computer vision in security. Computers are able to analyze live video resources to monitor important patterns. For example, the security checkpoints at airports sometimes use machine vision to recognize the faces of previously identified, Wanted Criminants. Vision software is also able to track individuals in the crowd and identify suspicious activities such as abandon luggage nebo loitering.
robotic systems often use computer vision. Autonomous vehicles, including unmanned air vehicles (UAV) and Lunar Rovers, often use cameras and computers to analyze the nearby landscape. Prominent off -road elements such as mountains can be compared with an electronic map. This allows robotic vehicles to determine their location based on external reference points.
Computer vision is an emerging technology that has not yet achieved its full potential. Many scientists believe that machine vision will lead to advanced technological breakthroughs. Potential applications can be used for automated cars, unmanned air tickets or other technological advances.