(1) A computer perception of a visually-based sensory output used to produce a concise description of an image. (2) Devices used for optical non-contact sensing to automatically receive and interpret an image of a real scene in order to obtain information or to control a process. (7/96)
The use of image processing and image analysis in order to automatically control specific actions.
Systems that use video cameras, robots or other devices, and computers to visually analyze an operation or activity. Typical uses include automated inspection, optical character recognition and other non-contact applications.
The automatic acquisition and analysis of images to obtain desired data for controlling a specific activity.
Specifically refers to computer interpretation of an image obtained by a video camera and associated optics for the purpose of automatic machine control. Machine vision is often loosely interpreted as any video-based inspection or documentation application.
Computerized image measurement, analysis, and interpretation used to improve production processes and quality.
Optical systems in which video equipment is used to guide robotic or automated equipment during production operations; also, computerized visual inspection systems used for quality control.
The use of devices for optical non-contact sensing to automatically receive and interpret an image of a real scene, in order to obtain information and/or control machines or processes
a guidance system that gives a robot the ability to see what it is doing and react, as a human would, to changes in positioning.
Machine vision (MV) is the application of computer vision to industry and manufacturing. Whereas computer vision is mainly focused on machine-based image processing, machine vision most often requires also digital input/output devices and computer networks to control other manufacturing equipment such as robotic arms. Machine Vision is a subfield of engineering that encompasses computer science, optics, mechanical engineering, and industrial automation.
