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Technical category
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    • 無人化3D智慧海洋養殖場

      FutureTech 無人化3D智慧海洋養殖場

      This research team develops unmanned 3D intelligent marine aquaculture technology, using omni AIoT aquaculture technology, especially strengthening the integration of gyroplane, ROV, unmanned shipcentral control room,using long-distance intelligent control to make employees shift from traditional field work to basecentral control room. Due to the huge cross domain system of omni AIoT, it modularizes it, At the same time, edge computing technology is developed to facilitate commercial promotion.
    • Real-time identification of crop losses using UAV imagery

      AI & IOT Application FutureTech Real-time identification of crop losses using UAV imagery

      This technology integrates 1000+ times of UAV imaging experiences with labeled rice lodging images for training. A rice lodging recognition model using deep learning reaches 90 accuracy. The recognition model can be deployed in a microcomputer mounted on UAVs to implement edge computing. While taking aerial images, the inference can be completedreveal lodging areadamage level in-time.
    • A Fall Detection System based on AI Edge Computing Technique

      AI & IOT Application Innotech Expo A Fall Detection System based on AI Edge Computing Technique

      In order to solve the undiscovered problem that caused by the fall ofelders, we develop a deep learning based systemnamed it 「SkyEye」,which includes our own sensor 「AI Falling Image Sensor」, a cloud sever that storespushes information about fall eventsa mobile app that communicates with users.
    • 智慧天使基地台-人本智慧精準通訊服務

      FutureTech 智慧天使基地台-人本智慧精準通訊服務

      We developed an advanced communication system which combines edge computing, AI,drones as communication vehicles. Through the integration of platform technologyinnovative technical services, it realizes human centric precise, accurate, long-term,remote intelligentprecise mobile communication services. The prototype of the advanced communication system has completed field verification to show the application of human centric smartprecise mobile communication services.
    • A Transparent Deployment Solution for 4G/5G Edge Computing Platform

      Electronic & Optoelectronics FutureTech A Transparent Deployment Solution for 4G/5G Edge Computing Platform

      We design/implement a transparent deployment solution for 4G/5G MEC (Multi-access Edge Computing) platforms. The solution is standard-compliantdoes not require any changes on 4G/5G base stationcore network. Its MEC deployment is just plug-and-play. It contains five major components to gracefully interact with cellular protocols : ARP proxy, MEC packet gateway, GTP states tracking module,
    • 未來口罩:有人情味的AI智慧表情技術

      FutureTech 未來口罩:有人情味的AI智慧表情技術

      Although masks protect us from COVID-19, they cover a substantial portion of the face,eliminates important facial expressions during communications. EmoMask is a human-AI collaborative mask that mediates these interactions in mask-wearing environments through emotion-aware sensorsAI algorithms, which works with humans to create facial expressions. The EmoMask system identifiesdifferentiates expressions using TinyML-based AI algorithm,conducts real-time classificationsregressions to create matching facial expressions during a communication while faces are covered.
    • 即時危險辨識系統

      FutureTech 即時危險辨識系統

      “MeDA OXR: Real-time Hazard Recognition System,” which can automatically screeninterpret the medical images in real-time, is designed for emergency rooms to assist physicians in diagnosis, reducing medical risks,improving overall efficiency. Combining portable X-RayAI algorithms, the system performs real-timeaccurate preliminary screeningdiagnoses of diseases, such as pneumothorax, pneumonia,tuberculosis. It can also locate the nasogastric tube, endotracheal tube,central venous catheter, while misplacement of that is sent to the physicians when detected.
    • 用於智慧生活的靜態與動態視覺關鍵技術

      FutureTech 用於智慧生活的靜態與動態視覺關鍵技術

      Dynamic vision sensors have been investigated to report motion-only images for moving object recognition. Less but essential information helps post-process recognition algorithm reduces computationimproves accuracy. Implement low powerlow latency deep Learning chip based on neuromorphic Intelligence. The neuromorphic obstacle detection algorithm integrates visualproprioceptive signals. The algorithm is characterized by its efficiencylow power consumption. We possess the next-generation in-memory computing AI chipsnext-generation UAV key softwarehardware technology
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