Appearance inspection of die-cast (cast products) [Free verification conducted]
Achieving inspection of products with various shapes using a single AI! Introducing detection examples with NuLMiL.
We would like to introduce some detection cases using the visual inspection system "NuLMiL." NuLMiL is applicable for detecting defects in die-cast products. By conducting verification on images captured using industrial cameras and lighting, we have successfully detected and classified defects such as scratches and burrs. Since a single AI can be applied to inspect products of multiple shapes, easy and safe operation can be achieved. 【Challenges】 ■ We want to automate and reduce manpower for inspections currently done visually. ■ Inspection using AI is difficult for small-lot, diverse manufacturing. ■ We want to classify defects by type, such as scratches and discoloration. ■ Light reflection from the product causes false detections. 【Verification Details】 ■ Images were captured using general industrial cameras and lighting. ■ Our product was used to accommodate diverse manufacturing and defect classification. *For more details, please refer to the PDF document or feel free to contact us.
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【Other Overview】 ■Software ・NuLMiL ■Optical System ・Industrial camera (approximately 5 million pixels) ・Selected from bar lighting, dome lighting, coaxial lighting, etc. *For more details, please refer to the PDF document or feel free to contact us.
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【Purpose】 ■Appearance inspection of die-cast products 【Recommended for】 ■People in the manufacturing industry ■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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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.