Automation of appearance inspection for multiple varieties in small quantities: A concept to reduce the hassle of variety changeover.
In the case of multi-variety, small-quantity appearance inspections, we design by separating the common parts from the parts that change for each variety, rather than creating separate devices for each variety. The method of lighting and capturing images is standardized, and only the criteria and settings for judgment are switched according to the variety. If the differences between varieties are too large, we narrow the scope of automation. 【Key Points】 ■ We design by separating the common parts from the parts that change for each variety. ■ The effort required for switching is determined by how the settings are maintained and the fixtures used. ■ When there are significant differences between varieties, we limit the varieties that are automated. *For detailed explanations, please refer to the technical notes and downloadable materials in the related links.
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basic information
【Contents of this Technical Note】 ■ The difficulty of inspecting a wide variety of small quantities is due to the need for preparation for each variety. ■ Separate the common parts and the parts that change for each variety. ■ Three ideas to make switching between varieties easier. ■ Common failures in the automation of small quantities of various types. ■ Cases where automation is not suitable. ■ Things to organize in advance when consulting about small quantities of various types. ■ Inspection of various types starts with measuring a few representative varieties in real life. 【Consultation】 I will confirm and respond whether it can be measured or captured with the work at hand using the actual item. Please consult with a single photo.
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The technical notes can be read by anyone from the related links. We will discuss the costs of development and testing based on the details you provide.
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Applications/Examples of results
【Frequently Asked Questions】 Q. Can one machine handle a very large variety of products? A. It depends on the differences in the varieties. If similar varieties are grouped together for testing, we can identify the common range. For varieties with significant differences, we may suggest different handling methods. Q. We hardly have any defective products. A. One option is to establish standards based only on good products. However, we cannot categorize the types of abnormalities. What constitutes a defect will be decided separately. Q. Can we register new varieties ourselves? A. Yes, if we provide the procedures. Please make it a condition of your request to receive documentation on the registration procedures and how to correct any discrepancies.
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Company information
We specialize in 2D and 3D inspection and measurement technologies using cameras. We possess a wide range of knowledge in optics, mechanics, electronics, and software, enabling us to provide technical support for both hardware and software. Not only do we have personnel with experience working as researchers at image inspection device manufacturers, major electronic component manufacturers, and universities, but we also have numerous successful implementations of developed products in actual production environments, making our ability to adapt advanced technology to on-site needs a strong point. Additionally, we are skilled not only in developing proprietary algorithms but also in using off-the-shelf products such as image processing controllers from Keyence and Omron, allowing us to excel in selecting and utilizing the most suitable equipment for specific needs. In recent years, while AI technology has garnered attention, there are cases where utilizing 2D and 3D technologies can be implemented more easily than AI, and cases where optical devices and mechanical jigs can improve performance and reduce software load. We offer services related to image systems, including "equipment selection," "implementation support," "performance improvement of existing equipment," "technology development," and "joint development," so please feel free to consult with us first.
