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Express Logic develops, markets and supports the ThreadX® real-time operating system (RTOS), NetXTCP/IP networking stack, USBX USB stack, FileX® embedded file system, and PEGX GUI toolkit for embedded applications.
ThreadX is a royalty-free, full source code, small-footprint, low-overhead RTOS that is extremely easy to learn and use. ThreadX is one of the most widely deployed RTOS products in the world, with over 1.25 billion products based on ThreadX.
Definition: Machine vision (MV System) 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.
One of the most common applications of Machine Vision is the inspection of manufactured goods such as semiconductor chips, automobiles, food and pharmaceuticals.
Just as human inspectors working on assembly lines visually inspect parts to judge the quality of workmanship, so machine vision systems use digital cameras, smart cameras and image processing software to perform similar inspections.
Machine vision systems are programmed to perform narrowly defined tasks such as counting objects on a conveyor, reading serial numbers, and searching for surface defects.
Manufacturers favour machine vision systems for visual inspections that require high-speed, high-magnification, 24-hour operation, and/or repeatability of measurements.
Frequently these tasks extend roles traditionally occupied by human beings whose degree of failure is classically high through distraction, illness and circumstance.
However, humans may display finer perception over the short period and greater flexibility in classification and adaptation to new defects and quality assurance policies.
Source: Wikipedia (http://en.wikipedia.org/wiki/Machine_vision)
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