Machine vision (MV) is the technology and methods used to provide
imaging-based automatic inspection and analysis for such applications as
automatic inspection, process control, and robot guidance, usually in industry. Machine vision is
a term encompassing a large number of technologies, software and hardware
products, integrated systems, actions, methods and expertise. Machine 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 also used in a broader
sense by trade shows and trade groups; this broader definition also encompasses
products and applications most often associated with image processing.
The need for safer, more reliable and robust
automobiles to justify price points is pushing automakers to adopt machine
inspection. And Machine Vision (MV) helps them fulfil this need by providing an
automated internal machine inspection method.
And Automotive was one of the earliest
industries to have adopted MV to carry out its imaging-based automatic
inspection and analysis for automatic inspection, process control, and robot
guidance. Also termed “computer vision,” MV is a mother lode of a large number
of high-end technologies, software and hardware products, integrated systems,
and of course, expertise.
This technology works as the eye of the automotive production
process using imaging processes including conventional imaging, hyperspectral
imaging, infrared imaging, line scan imaging, 3D imaging of surfaces, and X-ray
imaging.
Smart camera or smart sensors with frame grabbers are used along with interfaces such as Camera Link to record or capture images of the surface to be inspected. Digital cameras capable of direct connections to a computer via FireWire, USB or Gigabit Ethernet interfaces are also used by several companies. These cameras capture images of the surface of the automobile component to be inspected (say, the body or fins of an engine). And these images are then analysed and processed by specialized analysis software, which mostly use the principle of Finite Element Analysis in their working. MV helps automakers save money, justify price points and emerge as strong competitors.
The primary uses for machine vision are
imaging-based automatic inspection and sorting and robot guidance. The overall
process includes planning the details of the requirements and project, and then
creating a solution.
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