![]() The system parses visual content and identifies a particular object on a photo/video. For example, the system can find a dog among all objects in the image. The system parses visual content and classifies the object on a photo/video to the defined category. Here are a few common tasks that computer vision systems can be used for: Human vision and computer vision systems process visual data in a similar way. Technically, machines attempt to retrieve visual information, handle it, and interpret results through special software algorithms. The concept of computer vision is based on teaching computers to process an image at a pixel level and understand it. What is computer vision?Ĭomputer vision is the field of computer science that focuses on creating digital systems that can process, analyze, and make sense of visual data (images or videos) in the same way that humans do. In this article, we will review the concept of computer vision, discuss how this technology evolved, and share a few excellent examples where this technology can be applied in our lives. The computer vision market is expected to reach $48.6 billion by 2022, making it an extremely promising UX technology. ![]() Thanks to advancements in artificial intelligence and computational power, computer vision technology has taken a huge leap toward integration in our daily lives. The fiction of yesterday has become the fact of today. One of the most fascinating ideas was to give computers the ability to “see” and interpret the world around them. For many decades, people dreamed of creating machines with the characteristics of human intelligence, those that can think and act like humans.
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