Semiconductor wafer AI automatic appearance inspection device 'Anamor Corporation NuLMiL collaboration'
With the color painting appearance inspection AI that learns by painting, the common sense of wafer inspection is changing. It can automatically detect and classify microscopic defects that are difficult to see with the naked eye!
This product is a semiconductor-specific automatic appearance inspection device that utilizes cutting-edge AI. It can automatically detect nano-sized fine polishing marks, orange peel, grain patterns, crystal defects, and other issues that are difficult to confirm with the naked eye on the surfaces of glass, quartz, and sapphire. Detected defects can be classified by defect type. 【Detection Examples】 ■ Scratch ■ Crack ■ Dimple ■ Watermark ■ Slip ■ So-mark ■ Void *For more details, please refer to the PDF document or feel free to contact us.
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basic information
For more details, please refer to the PDF document or feel free to contact us.
Price information
It is also possible to purchase the software and PC only as an add-on to the existing device. *For more details, please contact us.*
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Applications/Examples of results
Numerous implementations of the color coating appearance inspection AI 'NuLMiL'!! It is used in various industries such as automotive parts, electrical and electronic components, building materials, aerospace parts, semiconductors, resin products, plastic products, and films. *For more details, please refer to the PDF document or feel free to contact us.
Detailed information
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This is a case of detecting foreign objects, pinholes, and clutches.
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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.
