Appearance inspection of wall materials and boards (classified by type of defects) [Free verification conducted]
Successfully classified cracks, scratches, dirt, and polishing unevenness in wall and panel materials! Capable of handling sizes from A4 to 3m! Here are some detection examples using NuLMiL!
We would like to introduce a detection case using the appearance inspection system "NuLMiL." It can be applied to the detection of defects in wall materials and panel materials. In the verification, images captured using a line sensor camera and bar lighting were used to train and judge against calcium silicate board materials, successfully classifying cracks, scratches, dirt, and polishing unevenness. 【Challenges】 - We want to automate and reduce labor for inspections currently done visually. - AI inspection is difficult for small lot, diverse manufacturing. - We want to classify defects by type, such as scratches and discoloration. - There is variability in inspection standards among inspectors. 【Verification Details】 - Images were captured using a line sensor camera and bar lighting. - This product was used to correspond to defect classification. *For more details, please refer to the PDF document or feel free to contact us.
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basic information
【Other Overview】 ■Software ・NuLMiL ■Optical System ・Line sensor camera ・Bar lighting *For more details, please refer to the PDF document or feel free to contact us.
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Applications/Examples of results
【Purpose】 ■Appearance inspection of wall materials 【Recommended for】 ■Manufacturers ■Those facing challenges in quality control *For more details, please refer to the PDF document or feel free to contact us.
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Company information
Our company is a group of engineers that realizes system development and industrial efficiency using AI technology through the development and sales of software utilizing advanced technology. Currently, we are engaged in providing appearance inspection solutions using AI and image processing for the manufacturing industry. In the manufacturing sector, strict selection criteria are established for products, and companies must conduct inspections to meet these standards. With the increasing diversification of manufactured products, dedicated inspection systems are unable to keep up, resulting in the necessity of visual inspections by humans. Since pass/fail judgments are made based on human senses, even if manuals such as limit samples are created, human errors can occur, leading to variations in judgment criteria among inspectors. Naturally, as humans, differences in work accuracy and speed arise due to mental and physical fatigue. To address this issue, our company is continuously developing inspection solutions capable of accommodating diverse manufacturing. We have fully developed and sold eight types of software to date.
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