首页|Integrated Inspection of QoM,QoP,and QoS for AOI Industries in Metaverses
Integrated Inspection of QoM,QoP,and QoS for AOI Industries in Metaverses
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With the rapid development of information tech-nologies such as digital twin,extended reality,and blockchain,the hype around"metaverse"is increasing at astronomical speed.However,much attention has been paid to its enter-tainment and social functions.Considering the openness and interoperability of metaverses,the market of quality inspection promises explosive growth.In this paper,taking advantage of metaverses,we first propose the concept of Automated Quality Inspection(AutoQi),which performs integrated inspection covering the entire manufacturing process,including Quality of Materials,Quality of Manufacturing(QoM),Quality of Products,Quality of Processes(QoP),Quality of Systems,and Quality of Services(QoS).Based on the scenarios engineering theory,we discuss how to perform interactions between meta-verses and the physical world for virtual design instruction and physical validation feedback.Then we introduce a bottom-up inspection device development workflow with productivity tools offered by metaverses,making development more effec-tive and efficient than ever.As the core of quality inspection,we propose Quality Transformers to complete detection task,while federated learning is integrated to regulate data sharing.In summary,we point out the development directions of quality inspection under metaverse tide.
State Key Laboratory for Management and Control of Complex Systems,Chinese Academy of Sciences,Beijing 100190,China
Department of Engineering Science,Faculty of Innovation Engineering,Macau University of Science and Technology,Macau 999078,China
North Automatic Control Technology Institute in Taiyuan,Shanxi,China
State Key Laboratory for Management and Control of Complex Systems,Chinese Academy of Sciences,Beijing 100190,and also with the Oinodao Academy of Intelligent Industries,Shandong 266109,China
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Optima Collaborative Research Project of Defect Detection Algorithm for Automated Optical Inspection-Phase ⅡKey-Area Research and Development Program of Guangdong ProvinceKey-Area Research and Development Program of Guangdong Province河北省自然科学基金
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