FZ3-L350

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The machine vision application of FZ3-L350 extended from the field of control/processing is indeed vast. As one of the pioneering products for the industrial automation sector, it is now widely used across a various areas. This next part will explore the scope of its application and the working principle behind the vision processing.

Applications

FZ3-L350 is popularly used for:

• Small part recognition – It is primarily used to carry out small part recognition or validating the correctness of the small parts being assembled. It is also an ideal component for the automated production line.
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• Material sorting – Furthermore, it is also used for separating materials which are of varied sizes or specifications such as different thickness of board, or materials with different cuts, figuring out the exact shape of these materials, and then sorting them accordingly.
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• Production line check – With its highly sophisticated capability, it can provide real-time feedback of the speed and accuracy of production. It is an excellent device for general status monitoring as well.
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• Overseas & remote control – Most importantly, it offers the benefit of controlling the global machine tools and other automated machinery from distances.

Working Principle

FZ3-L350 is a vision processing machine which utilizes a number of techniques to find the desired product. The system takes a token image of the products as input and uses various innovative image processing algorithms to detect and identify the features of the product. The processes can be summarized as follows:

• Digital Conversion – The original images of the product are first converted into digital form for the machine to process.
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• Feature Extraction – Different features of the product are then extracted. It can be the shape, size, color, or other relevant information. It is important to recognize the features accurately for the correct identification.
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• Feature Matching – Features extracted from the image are then compared with the features stored in the machine\'s database. If a match is found, the machine will recognize and identify the product correctly.
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• Data Collection – The correct product information obtained will then be collected into the supervisor or database for further analysis and determining the control actuation.

Conclusion

This article provides an overview of the applications and the working principle of FZ3-L350 in the field of control and processing. With its extensive and outstanding features, this machine vision system has no doubt been an effective solution for many industrial automation tasks. In addition, the flexibility and cost-effectiveness of the equipment further add to its popularity.

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