Computer vision is the field of artificial intelligence that deals with the interpretation of images and video to create understanding or extract information. It is a form of image processing that involves using mathematical algorithms to analyse and classify an image and then take an action based on the results.
The aim of computer vision is to enable computers to gain an understanding of the environment around them. This is achieved by having the computer interpret image data and use it to identify objects, recognize faces, and even write text or music. Computer vision allows machines to see the world and objects in it in much the same way as a human user would.
Computer vision is used in various applications such as object identification, object tracking and recognition, object classification and labeling, facial recognition, gesture recognition, and visual search. It is also used for augmented reality, facial recognition, gesture recognition, 3D reconstruction and analysis, medical imaging, robotic navigation and manipulation, and automated surveillance and analytics.
Computer vision algorithms can use techniques such as image segmentation, feature extraction, image recognition, and deep learning. These algorithms rely heavily on data such as images, videos, and depth maps.
Computer vision is a key technology in many industries, ranging from military applications to the entertainment industry. It is used to improve the user experience of the vehicle, to automate manufacturing processes, to assist with agricultural tasks, and to recognize medical conditions (MRI scans) in an easy and fast way.
In recent years, computer vision has become prevalent in everyday devices. For example, facial recognition cameras are now found in many smartphones, and computer vision is used in retail to personalize the retail experience and give shoppers a better shopping experience.
Computer vision is an exciting field for researchers and developers and is continuing to evolve and mature. With advances in technology, including machine learning, robotics, and the internet of things, computer vision applications are becoming more and more advanced and are being integrated into more and more consumer devices and industrial processes.
