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Explore the latest industrial maintenance best practices, trends and news from ATS and learn from industry experts and leading manufacturers.

Until recently, industrial machine vision systems all followed the same principles, obeying a set of rules created by a programmer. The typical operating sequence for such a system is:

Unlike computer vision in manufacturing, which is used for tasks like autonomous robot navigation and augmented reality (AR), machine vision is used mainly for quality control and, to a lesser extent, for robot guidance. The main applications are:

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Manufacturing vision systems comprise a camera, lighting and software for image acquisition and analysis. These components may be separate or combined into a single piece of hardware. Vision systems are almost always integrated with other production equipment such as PLCs. These take actions determined by the result of the image analysis, such as opening a reject gate on a conveyor or moving a robot.

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A recent innovation in machine vision is the use of artificial intelligence (AI) to replace rules-based programs. These can remove the need for a programmer and, depending on how they are configured, can be taught to learn from their mistakes. However, they require an initial training period which sometimes needs hundreds, if not thousands, of pictures.

Machine vision is an increasingly important sensor technology in manufacturing. It’s used to reduce costs by detecting quality problems promptly and to support automation that further lowers costs and improves quality.

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Unlike humans, machine vision systems don’t get bored or distracted, and they apply consistent standards. More specifically, they:

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Machine vision is the use of cameras and software to gather data, make decisions and control operations within a manufacturing environment. It’s the industrial application of computer vision, which is used in many everyday activities, from security systems to computer games and autonomous navigation.

Machine vision in manufacturing protects customers from defective products, enables automation and reduces costs. Machine vision systems need a limited amount of maintenance but can also be used to support maintenance. This blog explores the role of machine vision in manufacturing and considers its relationship to industrial maintenance.

Vision systems are also identified by their packaging or number of components. Definitions vary, but the generally agreed upon classifications are:

Up to now, while machine vision systems need some maintenance, (mainly cleaning of lights and lenses), they have not been used for maintenance. However, that appears to be changing. Current and proposed maintenance applications include:

A developing aspect of machine vision is its potential to capture information about both the products being manufactured and the manufacturing processes. It’s in this regard that it will doubtless find many more uses as a maintenance tool, especially with its ability to generate data for predictive maintenance.