This section provides an overview for image processing lighting as well as their applications and principles. Also, please take a look at the list of 10 image processing lighting manufacturers and their company rankings.
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In general, luminance and color information are determined by the characteristics of illumination, reflection characteristics of the object, and detection characteristics of the camera.
The appropriate type, shape, location, and color of illumination depends on the purpose of image processing. The requirements for image processing lighting is a high signal-to-noise (S/N) ratio, uniform illumination, and stable illumination.
There are various types of lighting, including LED, halogen, fluorescent, and xenon, but LED lighting is considered superior for image processing lighting.
The main uses of image processing lighting are to detect flaws and foreign objects in industrial products.
Flaws in industrial products can be checked by a shining illumination that has been appropriately adjusted for shape, position, and light wavelength on the object, and then using the shading of the image detected by the camera to check for flaws.
Similarly, by transmitting appropriate illumination through the back of an industrial product and detecting it with a camera, it is possible to check for foreign matter in the industrial product.
Since the reflection characteristics of light (reflection angle and spectral characteristics) vary depending on the object, lighting that can flexibly change the angle of incidence and wavelength is used.
There are three factors that affect the shading of an image: the characteristics of the lighting source, the characteristics of the object that reflect or transmit the light, and the characteristics of the camera that detect the light. Furthermore, these characteristics are known to vary with the wavelength of the light (spectral characteristics).
In the case of detecting flaws in industrial products, the diffuse reflection of light in the area of the flaw is used. By shining light from a directional light source onto the industrial product at a low angle, and by avoiding detection of the directly reflected light by the camera, only the light diffusely reflected from the scratched area can be detected. As a result, a bright image is generated only in the flawed area.
To check for the presence of foreign matter inside an industrial product, transmitted light is irradiated from a light source with a biased wavelength and detected by a camera. Since different objects have different spectral characteristics, adjusting the spectral characteristics of the light source can produce an image in which only the foreign object is bright.
The desired illumination varies depending on the purpose of the image processing, but the following criteria are mainly used in selecting the illumination: first, whether it should be direct, diffuse, or transmitted. The second criteria is the shape and size; and third criteria is the color (spectral characteristics) of the illumination.
*Including some distributors, etc.
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Founded in 1976 and headquartered in Austin, TX, National Instruments Corporation provides a software-centric platform and systems to engineers and scientists worldwide. NI’s software is used for automated test and measurement applications in manufacturing environment for configuring real-time testing application, sensor configuration and data logging of mixed signals, and monitoring ancillary rotating equipment. NI’s software also enables the mass coordination of connected devices, software deployments, and data communications throughout distributed systems. Recently, NI has begun to develop test systems and solutions for autonomous driving software and hardware validation.
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