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Technical category
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    • 抽象空間建模與虛實融合應用

      FutureTech 抽象空間建模與虛實融合應用

      "We propose a system that use the most popular deep learning technology to analyze panorama videoimage to extract the 3D layout of the panorama image to create a virtual scene. This 3D layout structure allows the system to add 3D model to the original panorama video, making it more editablecapable of synthesize virtual objects to the real world of panorama videos. Our system uses the 3D layout to create low-poly mesh with almost the same quality of the real scenery. This allow users to browse the 3D result on website with low latency."
    • 骨整合暨結構檢測儀

      FutureTech 骨整合暨結構檢測儀

      Through the developed internet of inspectionassessment device the digital twin model of specific implant structure can be constructed by using daily collected data besides assessing the osseointegration status of varied stages. The built model may trace the subject’s osseointegration changing. The internet of inspection device can also be applied for the health inspection of tapsdrills. Two types of inspection mechanism, electro-magneticvibro-acoustic, have been implemented in the device. The stability of structure is assessed through the computed frequency response function.
    • 5D智慧城市─SmartES平台

      AI & IOT Application FutureTech 5D智慧城市─SmartES平台

      NCREE has originally developed 5D digital space—on the basis of 3D city modelsconnections of different kinds of sensors around the world— is an online to offline virtual space with a combination of rising 5G technology advantages. Collectingreorganizing various 3D cartographic data with Building Information Modeling (BIM), satellite imagery, UAV 3D modeling, LiDar point cloud data, etc., can increase the diversity of the buildinglandscape. 5D+5G smart city platform would accelerate the 5D smart city to become the digital twin of a real city.
    • 以深度學習與數位孿生輔助工地鋼筋查驗

      AI & IOT Application FutureTech 以深度學習與數位孿生輔助工地鋼筋查驗

      This technique combines deep learningdigital twin technologies to connect the designconstruction processto achieve construction-site rebar inspection, issue tracking, verificationmaintenance. This core component of this method is based on the image collection of rebar frames, digital twin creation, cooperative machine learning,the rebar inspection module development. The BIM model was automatically matchedcompared with the 4D digital twin with features of point cloudtime sequence.
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