Computer 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. 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 used for?
Computer Vision is a field of artificial intelligence that trains computers to interpret and understand the visual world. Using digital images from cameras and videos and deep learning models, machines can accurately identify and classify objects — and then react to what they “see.”
Computer Vision has been a particular focus. For example, farmers are now able to photograph specific crops in order to upload it to the Intello Labs database and learn all about it. Depending on their needs, they can learn about weeds, pests, diseases, and more.
What is the difference between Machine Vision and Computer Vision?
A Machine Vision system uses a camera to view an image, Computer Vision algorithms then process and interpret the image, before instructing other components in the system to act upon that data. Computer Vision can be used alone, without needing to be part of a larger machine system.