ZFX-VS 3M

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Today’s industrial automation, robotics, machine vision, etc. are all based on advanced imaging technologies, and the traditional vision system technology has gradually been replaced by ZFX-VS 3M. As a popular machine vision accessory, ZFX-VS 3M has wide application field and has become a key component in many industry automation systems. This article aims to analyse the application field and working principle of ZFX-VS 3M.

ZFX-VS 3M Application Field

The main application of ZFX-VS 3M is in industrial production, and its application fields have widened from traditional factory automation, like automatic loading and unloading or material classification, to intelligent agricultural industry, precision medical treatment, automatic detection, etc. In short, ZFX-VS 3M can be used in various areas, such as object detection, feature recognition, and object classification.

In industrial production, ZFX-VS 3M is widely used in automatic inspection, such as quality inspection of parts, assembly assembly, inspection of product safety regulations, etc. It can quickly distinguish the differences between normal products and defective products, and effectively improve the work efficiency and accuracy. In intelligent agriculture, ZFX-VS 3M can be used to detect crop diseases, count the number of crops, and provide early warnings to farmers. In medical applications, ZFX-VS 3M can effectively detect minor abnormalities, such as cancer, early to rescue the critical condition patients.

ZFX-VS 3M Working Principle

ZFX-VS 3M works by using optical imaging technology to capture a certain area of objects, and then through the image processing technology, abstract a set of features from the image, finally the comparison of these feature set with similar images in the knowledge base, the current image to get the result of recognition.

The first step of ZFX-VS 3M is to capture an image. Its imaging principle is equip a camera or a pair of imaging light source + imaging camera, the camera capture the image with the help of imaging light source. Then the captured images will be transmitted to the system for further processing.

The second step is to preprocess the image such as noise removal, contrast adjustment, data conversion. This step aims to reduce the influence of random noise from the background and increase the contrast of the image to prepare the image data for subsequent processing.

The third step is feature extraction. In this step, the image will be segmented and the appearance features of objects will be extracted. Feature extraction is the core step, the features extracted will be used to determine whether the image is distinguishable by the experience of similar images in the database. In the last step, the feature set extracted from the current image will be compared with that of the similarly stored images in the data base. The comparison result will determine whether the current image is qualified or not.

Conclusion

ZFX-VS 3M is a popular machine vision accessory with wide application field. It uses optical imaging technology and image processing technology to capture images, preprocess images, extract features, and compare similar images in the knowledge base to provide the final recognition. And it is widely used in industry automation systems, intelligent agricultural industry, precision medical treatments, and automated detection.

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