When specifying LED lighting for machine vision applications, the LED wavelength can have a significant impact on the success of the vision inspection. When utilizing white LEDs, it’s important to understand that the radiated emissions are a combination of most of the wavelengths from the visible spectrum; for white LEDs, the color temperatures range from […]
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Machine Vision Challenge: Meat Processing & Inspection Achieving pinpoint accuracy with a vision system while maintaining the highest levels of sanitation within automated meat processing is a must. The inspection system must identify foreign objects, whether bits of metal or plastic, while being rugged enough to withstand the challenging environment of stray particles and corrosive […]
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Appropriately illuminating populated circuit boards (PCBs) for vision inspection can be challenging. The variety of shapes, sizes, finishes, colors, and whole host of different components can increase complexity. This application note highlights available lighting techniques to deliver feature-appropriate contrast for robust inspection applications.
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Control Systems Integrators, Inc. was contacted to configure a lighting solution for a customer inspecting white fiber-cement boards. The motion inspection through an enclosed tunnel posed a unique challenge, and Bar Lights from Advanced illumination assisted in the vision inspection solution.
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For many surfaces, simple defects such as scratches and dents are easily identifiable with a machine vision camera and a traditional lighting solution. However, some objects have 3D aspects that make accurately identifying surface defects more difficult. To achieve feature-appropriate surface contrast to gather a 3D perspective, Photometric Stereo may be applied.
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Surfaces prone to uneven reflectivity are often challenging to inspect – particularly with bright-field point sources commonly used in machine vision systems. To achieve more uniform contrast over such surfaces, one solution is to apply diffuse lighting.
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Machine Vision, Deep Learning, and Artificial Intelligence are among the future trends for automated testing in many different industries, especially manufacturing. However, what if you need a system that doesn’t just recognize parts, but can make a subjective decision like a human operator?
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Today there is a wide variety of lighting sources, types, geometries, and wavelengths available for vision engineers to apply, often with more than one type or geometry functioning adequately. But with the many overlapping choices, how do we determine whether a lighting solution is, or is not, truly “good enough”?
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Not all surfaces respond similarly to standard direct illumination techniques. Surface color, texture, shape, and composition can all influence where and how much of the incident light is reflected into a vision camera, greatly affecting the inspection results. Read on for our example of inspecting a cylindrical surface.
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Robust vision light solutions often face one challenge: unwanted glare. In this post, we concentrate on how to reduce glare from vision lighting – particularly from a part’s curved, specular surface, which is one of the most common application uses for polarizers.
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Packaging inspection has typically presented a variety of challenges for machine vision developers and integrators alike. This is primarily because of the wide range in types of packaging – materials, colors, sizes, shapes, and textures used.
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Determining whether to apply lights in a bright field versus dark field geometry is one of the more difficult decisions facing Machine Vision engineers. Both techniques have advantages and disadvantages: in this blog, we will concentrate on a comparison between the two using common vision applications.
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