The reason why AI appearance inspection is determined by the way it is captured before AI.
The results of AI visual inspection are often determined more by how defects are represented in the images than by the type of AI used. AI is a tool for finding differences that are present in the images; it cannot detect differences that are not visible. First, determine the direction of light, the position of the camera, and the arrangement of the workpiece, and then create images where defects stand out from the background before using AI. 【Key Points】 ■ AI can only detect differences that are present in the images. ■ First, look for lighting and camera positions that make defects stand out. ■ Once the shooting method is decided, the part that can be left to AI becomes smaller. *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】 ■ AI finds only the differences captured in the image. ■ Three factors determined by the way of taking the photo. ■ The same flaw can appear or disappear depending on the lighting. ■ Areas where AI can be relied upon and areas where it cannot. ■ Even with refined photography techniques, some things may not be captured. ■ Before increasing the number of images or resolution, check if the differences are visible. ■ Verify the photography technique with the actual object. 【Consultation】 We will confirm whether it can be measured or captured with the actual object. Please consult us with one 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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※It varies depending on the content. Please contact us.
Applications/Examples of results
【Frequently Asked Questions】 Q. How many images are needed for AI training? A. There is no fixed number. If the defects are clearly visible in the images, fewer images are usually needed, while a larger variation in good products requires more. The number of images will be determined after deciding on the shooting method. Q. Can simply changing the lighting eliminate the need for AI? A. Yes, it can. If defects are highlighted as differences in brightness, they can be judged by established rules. Whether to use AI or not will be decided after capturing the images. Q. Can you tell if the shooting method is poor based on the existing images? A. To some extent, yes. We look for points such as whether defects are captured, variations in brightness, and inconsistencies in shadow direction. We will review and respond accordingly.
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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.
