FQ-CR20050F-M

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Machine Vision provides an automation technology that allows robots and computers to "see" their environment. It involves the use of cameras, sensors, and specialized software to recognize objects, detect defects, measure shapes, or count products on the assembly line. The FQ-CR20050F-M is a specialized camera that falls under this umbrella. This article will discuss the application of the FQ-CR20050F-M in machine vision systems, as well as its working principle.

The FQ-CR20050F-M is designed to provide maximum flexibility for machine vision applications. It is capable of capturing images at resolutions up to 2 megapixels, with a frame rate of 18 fps. It has a sensor size of 1/2.5", making it suitable for applications that require high image quality without requiring a large sensor. It also supports up to four video outputs, including Gigabit Ethernet, CameraLink, and USB3.0, allowing it to be used in a wide range of image processing applications.

When it comes to applications, the FQ-CR20050F-M is most often used for object recognition, inspection, sorting, and tracking. It is capable of recognizing objects in a wide range of environments, from dimly lit rooms to overly bright environments. When used in an inspection application, it is capable of detecting defects in objects, as well as measuring shapes and dimensions. In tracking applications, it can be used to follow objects as they move across a conveyor belt or a production line.

The working principle behind the FQ-CR20050F-M is fairly simple. It utilizes a combination of a lens, a sensor, and image processing algorithms to capture and convert light into digital images. The lens collects light and focuses it onto the sensor, which converts the light into an electrical signal. This signal is then processed by the image processing algorithms, which analyze the image and extract any relevant information.

Overall, the FQ-CR20050F-M is a highly versatile camera that can be used in a variety of machine vision applications. It supports resolutions up to 2 megapixels and offers up to four video outputs, allowing it to be used in a wide range of image processing applications. Its working principle utilizes a combination of a lens, sensor, and image processing algorithms to capture and convert light into digital images.

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