Advanced integrated AI solution for non-destructive testing (NDT) workflow.
PROMAG's "iEagleAI" is an AI inspection system that seamlessly integrates AI vision technology, expertise in non-destructive testing (NDT), inspection equipment, stable image acquisition technology, and inspection data reviewed by NDT qualified personnel. It supports manufacturers in enhancing the consistency and quality of their inspection workflows, from initial screening to NG determination and the creation of quality records that ensure traceability. By assisting the inspection process with AI, NDT qualified personnel can focus on critical tasks such as verification and final quality judgment, achieving a more reliable inspection flow! It automates surface inspection and enables high-precision and reliable defect identification using AI! By combining NDT expertise with advanced inspection equipment, we provide a comprehensive NDT inspection solution that supports the acceleration, standardization, and reliability improvement of inspections. From building defect data to AI model training, proof of concept (PoC), and integration into existing inspection equipment, we offer a total technology solution to help manufacturing clients establish an efficient and stable automated inspection system. *For more details, please contact us.
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basic information
【Specifications】 Detection Accuracy: 98% Final Defect Size: 0.06mm (Proven with CVJ) Average Inspection Time: 0.3 seconds *Varies depending on the inspection work 【Q&A】 Q1) Can you reduce the variability in judgment? A1) By standardizing the primary screening with "iEagleAI," we reduce the differences in judgment among inspectors. Q2) Can you accommodate an increase in production volume? A2) The AI streamlines repeated checks, allowing inspectors to focus on the patterns that require verification. Q3) Can inspection images be utilized as quality data? A3) We accumulate NG judgments, defect classifications, review records, and work information, which can be used as traceable quality data. Q4) Does the AI learn actual NDT knowledge? A4) It utilizes inspection images reviewed by qualified technicians, actual patterns, and on-site pass/fail criteria for learning.
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Applications/Examples of results
【Applications】 Aerospace, automotive, energy, steelmaking, railways, machining and manufacturing, pressure vessels 【Achievements】 Surface inspection of titanium alloy turbine blades Defect inspection of engine valves *Automated inspection using iEagleAI
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Company information
KS-NET Co., Ltd. has been able to accumulate a wealth of technology and experience over the past 20 years. We will further promote the networking and sharing of case studies, information, and technology in non-destructive testing and measurement based on this know-how, aiming to build a sales network across the country. The needs of the field are the first step. By accurately capturing these needs, we will propose inspection methods that meet them and provide suitable equipment and systems, ensuring customer satisfaction while contributing to society.
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