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AI Vision Units
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AI Vision Units

Nowadays vision systems come in all shapes and sizes in order to suit the largest number of applications. At their core, all vision systems share the same building blocks: cameras and optics to capture images of the object under inspection, lighting devices to optimally illuminate the part, specific imaging software and a processing unit. Through the years, and thanks to its long time experience in manufacturing and marketing high quality imaging components, Opto Engineering® has identified very specific needs concerning machine vision systems: as a general tendency, many industries require new vision systems to be adaptive, so that they can be quickly repurposed to inspect new products. 

They also have to be easy to use, so that an experienced engineer is not necessarily needed for programming and maintenance. One of the most recent tools in Machine Vision that helps us accomplish these goals is Artificial Intelligence. Opto Engineering® has been a pioneer in introducing AI to the Machine Vision industry, first with ALBERT® - a self learning, turnkey vision system dedicated to the needs of the food industry - then with PENSO®, an AI-based computational unit which can be interfaced to endless combinations of cameras, lenses and illuminators. Artificial intelligence and statistical inference are the keywords for an easy, fast and reliable approach to the most recent challenges of the Machine Vision world - always keeping in mind the same principle that drives the development of all our products: “simple works better”.

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ALBERT® Self-learning vision system based on artificial intelligence
ALBERT- Self-learning vision system based on artificial intelligence
PENSO® The artificial intelligence-based computational unit for imaging applications
The artificial-intelligence based vision unit

Basics

Machine Vision is the discipline that encompasses imaging technologies and methods to perform automatic inspection and analysis in various applications, such as verification, measurement, process control. A very common approach in machine vision is to provide turnkey vision solutions, i.e. complete systems that can be rapidly and easily configured for use in the field. A vision system is usually made up of every component needed to perform the intended task, such as optics, lighting, cameras and software. When designing and building a vision system, it is important to find the right balance between performance and cost to achieve the best result for the desired application.

Usually vision systems are designed to work in on-line applications, where they have an immediate impact on the manufacturing process (real-time systems). A classic example of this on-line concept is the possibility to instantly reject a product deemed non-compliant: the way this decision is made, as well as the object features being evaluated, defines different classes of vision systems.

Vision systems can do many different things: measurement, identification, sorting, code reading, character recognition, robot guidance etc. They can easily interact with other machinery through different communication standards.

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