Artificial vision systems (Manufacturing)
Introduction
Machine vision or machine vision ( MV ) is the technology and methods used to provide image-based automatic inspection and analysis for applications such as automatic inspection, process control and robot guidance, typically in industry. Computer vision refers to many technologies, software and hardware products, embedded systems, actions, methods and experience. Computer vision as a systems engineering discipline can be considered distinct from computer vision, a form of computer science. It attempts to integrate existing technologies in new ways and apply them to solve real-world problems. The term is predominant for these functions in industrial automation environments, but is also used for these functions in other vehicle guidance environments. The overall computer vision process includes planning the details of the requirements and project, and then creating a solution. During runtime, the process begins with image creation, followed by automated image analysis and extraction of the required information.
Definition
Definitions of the term "computer vision" vary, but all include the technology and methods used to extract information from an image automatically, as opposed to image processing, where the output is another image. The extracted information can be a simple part good/part bad signal or, rather, a complex set of data, such as the identity, position and orientation of each object in an image. The information can be used for applications such as automatic inspection and guidance of processes and robots in industry, for safety control and vehicle guidance.[1][2][3] This field encompasses a large number of technologies, software and hardware products, embedded systems, actions, methods and experience.[3][4] Machine vision is practically the only term used for these functions in industrial automation applications; The term is less universal for these functions in other environments such as security and vehicle guidance. Computer vision as a systems engineering discipline can be considered distinct from computer vision, a form of basic computing; Machine vision attempts to integrate existing technologies in new ways and apply them to solve real-world problems in a way that meets the requirements of industrial automation and similar application areas.[3] [5] The term is also used in a broader sense by trade shows and trade groups such as the Association for Automated Imaging and the European Machine Vision Association. This broader definition also encompasses products and applications most frequently associated with image processing.[4] The primary uses of machine vision are automatic inspection and guidance of industrial processes/robots.[6][7] [8] See machine vision glossary.