進階篩選

Technical category
技術研發單位
    • 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.
    • 見微知著:基於極少樣本學習之人工智慧光學檢測影像元件偵測

      AI & IOT Application FutureTech 見微知著:基於極少樣本學習之人工智慧光學檢測影像元件偵測

      We propose a novel AI-based few-shot self-supervised learning method for automatic optical inspection image quality assessmentcomponent detection based on only few training images. Our method iteratively learns the feature representations of the components by using self-similarity of these components. With the large number of self-learned representations, the appearance variations of each component are then effectively learned in the AI model for component detectionmeasurement. The computation complexity of our method is significantly lower than that of deep learning methods.
    • 串連電商及線下購物的新消費型態 - 高擬真虛擬試穿

      AI & IOT Application FutureTech 串連電商及線下購物的新消費型態 - 高擬真虛擬試穿

      We propose a semantic-guided framework (FashionOn+) that generates image-based virtual try-on results with arbitrary poses. FashionOn+ contains three stages: (I) conducts the semantic segmentation to have the prior knowledge of body parts for rendering the corresponding texture in stage (II). (III) refines two salient regions, i.e., faceclothes, to generate high-quality results. With the novel architecture, we win first place in the Multi-pose Virtual Try-on Challenge in CVPR, 2020. Further, we tackle the low-resolution limitation (256x192)achieve high-resolution results (640x480).
    • Building A Deep Learning-based Chest X-ray CADe Platform MedCheX

      Precision Health Ecosystem FutureTech Building A Deep Learning-based Chest X-ray CADe Platform MedCheX

      As we continue to face the rapid increase in confirmed Coronavirus cases around the world, we created an AI-based pneumonia detection platform for COVID-19. The system is able to automatically detect high-risk patients with pneumonia that will then send information to doctors. With that information, the doctors are then able to make follow-up decisions and provide a treatment plan after the diagnosis. In specific, doctors from the Department of Medical Imaging provided us thousands of positive and negative chest x-rays for pneumonia as a training set. Our system has already been tested with and adopted by doctors at the NCKU Hospital. The system achieved 95% accuracy to detect the pneumonia symptom, based on 1400 test images.
    • The technology of urban traffic control optimization platform

      National Applied Research Laboratories FutureTech The technology of urban traffic control optimization platform

      The urban traffic control optimization platform technology is developed by combining vehicle tracking and identification technology with traffic control factor simulation technology, the system is equipped with vehicle counting and vehicle type classification, regional intersection traffic simulation, light optimization and other functions. Through the combination of traffic information and deep learning analysis to help optimize traffic signals at each intersection, it promotes smoother driving for the public.
    • 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.
    • 基於轉移學習之青光眼眼底照片診斷系統-適於各醫療院所之平台發展

      AI & IOT Application FutureTech 基於轉移學習之青光眼眼底照片診斷系統-適於各醫療院所之平台發展

      A transfer learning-assisted glaucoma detection system was build first with training images from the fundus images database of Taipei Veterans General Hospital,then fine-tuned to improve its applicability on fundus images from different datasets. This system aims to assist clinic-based glaucoma screening to increase the diagnostic rate of glaucoma by using existing healthcare facility.
    • 人工智慧於息肉狀脈絡膜血管病變之診斷與治療決策之應用

      AI & IOT Application FutureTech 人工智慧於息肉狀脈絡膜血管病變之診斷與治療決策之應用

      This system help doctors to distinguish age-related macular degeneration (ARMD)polypoidal choroidal vasculopathy (PCV) by color fundus photography. We have collected large image dataset from Taipei Veterans General Hospitalother hospitals to establishvalidate CNN model, which had been tested by external image datasetmodified to improve the accuracy of the AI model.
    • 3D Object Referring and Grasp Detection Networks

      AI & IOT Application FutureTech 3D Object Referring and Grasp Detection Networks

      "It is expected that human will work with robots in the coming years. However, it is still unknown how both can collaborate together. Meanwhile, it is still very time-consuming to deploy intelligent robots in production lines. For this work, we investigate deep comprehension for 3D (point cloud)text (voice) signals to enable novel human-robotic object referring for robotic arms. For the task
    • 教練盒子-羽球擊球動作分析視覺方案

      FutureTech 教練盒子-羽球擊球動作分析視覺方案

      "Coach Box" ideatechnology are derived from "CoachAI:金準羽球" project of the Ministry of ScienceTechnology "精準運科". The integrated technologies of "Coach Box" including computer vision, deep learning, machine learning, IoT, wearable applications, automation equipment,big data. The expected outcomes of "Coach Box" to show player performancegive expert advice through activities analysis of vision data. Simultaneously, it can be used as a medium for productive communication between coachesstudents.
    • 運用人工智慧技術建構胸腔X光影像偵測早期肺癌病灶模型

      FutureTech 運用人工智慧技術建構胸腔X光影像偵測早期肺癌病灶模型

      With the rise in computing power, deep-learning based computer-aided diagnosis systems have gained interest in the research community. Our system process the images to assist doctors to determine whether the patients have nodules in lungs. Meanwhile, we utilized the Feature Pyramid Network to extend the receptive field on the convolutional kernel, which improved the performance on the nodule detection with various locations in CXR. The semi-supervised learning mechanism also achieves the way of soft-annotation to reduce human effort in medical image annotation.
    • 人工智慧自動化優質細胞選取精進平台

      FutureTech 人工智慧自動化優質細胞選取精進平台

      Induced pluripotent stem cells are a promising new technology in translation medicine,AI technology is an automaticpowerful platform that can help identify cell images with unique characteristics, predictprovide information about cell types, differentiation stages, cell quality,normal Or disease-specific feature information. The combination of this induced pluripotent stem cell differentiation platformAI-based artificial intelligence image analysis technology will have great benefits for future cell product applications.
    • 自我網路架構搜尋與注意力機制之肺部電腦斷層掃描結節輔助診斷系統

      FutureTech 自我網路架構搜尋與注意力機制之肺部電腦斷層掃描結節輔助診斷系統

      Similar to the critical point tracking technology of human vision, the split attentionspatial grouping enhancement module, combining the multi-path grouping architecturespatial attention technology, can accurately extract important information from the imageimprove the network performance. Moreover, adopting neural architecture search technology to automatically search for the most suitable network architecture based on current moduleshardware devices can balance diagnosis speedhigh accuracy.
    • 深度強化學習框架使用超音波影像診斷腋窩淋巴結狀態

      FutureTech 深度強化學習框架使用超音波影像診斷腋窩淋巴結狀態

      The RL model develops a control policy directly from experience to predict statesrewards during a learning procedure. Hence, we designed a medical image environment including US images, different actions,rewards, agent learns in this environment to extract the ALN regionevaluates the status. The performance of our proposed method achieves an accuracy of 83.6, a sensitivity of 88.6,a specificity of 89.0.
    • 人工智能十二導程心電圖偵測心衰竭

      FutureTech 人工智能十二導程心電圖偵測心衰竭

      This Artificial Intelligence model interprets 12-lead electrocardiograms of adults to diagnose heart failure accuratelyefficiently. It is a fabulous heart failure screening tool that can detect more asymptomatic patients. Our goal is to help patients get early treatmentprevent disease deterioration.
    • AIoT smart aquaculture management systems

      AI & IOT Application FutureTech AIoT smart aquaculture management systems

      Our team construct an AIoT smart aquaculture management system. The management system mainly consists of: (1) Image Behavior MonitoringAnalysis Subsystem (2) Smart Feeding Subsystem (3) IOT Subsystem including underwater sensors, ROV,Drone (4) Cloud Subsystem (5) Big Data Analysis Subsystem.
    • 基於互動感知的自動化物件偵測學習

      FutureTech 基於互動感知的自動化物件偵測學習

      Inspired by the human nature that a child can learn by taking an objectthen observing it, we proposed two novel methods: (1) Object Detection by Interactive Perception (ODIP), where a few-shot object detector gradually learns unseen instances by interacting with a well-developed object grasping system, collecting required visual dataannotations in an automatic manner. (2) an efficienteffective few-shot object detection model with novel attention mechanism called Dual-Awareness Attention (DAnA).
    • Next Precision Weightlifting Platform

      AI & IOT Application FutureTech Next Precision Weightlifting Platform

      The main purpose of this invention is to provide a training system with the surrounding photographing unit, the display unit,a force platform. The system can immediately capture the motion of the user from various angles,measure the force of the user from both legs, in order to provide the useful biofeedback information to coachesathletes.
    • 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.
    • 自主式水下無人載具光學與聲學系統之創新技術開發

      FutureTech 自主式水下無人載具光學與聲學系統之創新技術開發

      This technology integrates acoustic-optical sensing calculationrecognition information,uses hydrophones to estimate the state of dynamic targetsvisually recognizelocate the dynamic target for vehicle motion control. The fusion acoustic-optical sensing architecture can be used according to the target statecharacteristics. By calculatingadapting to the environmenttarget state characteristics, the exploration tasks will be performed.
    • AI農情調查之UAV群眾協作平台

      FutureTech AI農情調查之UAV群眾協作平台

      "The Crowdsourcing UAV Platform for AI Agricultural Survey(AIAS) provides automatic mosaicing serviceis equipped with four breakthrough technologies, including (1)massive images gridㄒding, (2)parallel computing technology, (3)UAV task specification standardization,(4)UAV task matchmaking. AIAS platform is committed to creating aerial UBER crowdsourcing services in various aspects, such as (1)crop distribution surveys, (2)large-scale lodging surveys, (3)agricultural insurance investigation, (4)surveys on illegal use of farmland,(5)surveys on the subsidy of fallow."
    • 多AI模型整合的導盲對話系統

      FutureTech 多AI模型整合的導盲對話系統

      The dialogue system is the main subsystem of the visually impaired navigation system, which provides destinations for the navigation system through multiple dialogues. We use the knowledge graph as the basis for reasoning. In terms of close-range navigation, deep learning technology is used to develop RGB camera detection depth algorithm, indoor semantic cutting algorithm, integrated detection depth estimationindoor semantic cutting in indoor obstacle avoidance, etc. The whole system uses the CellS software design framework to integrate distributed AIoT systems.
    • 智慧魚苗生產系統

      FutureTech 智慧魚苗生產系統

      The invention focuses on the early fry culture, including algae, live-food organism, water quality control, fine image detection,automated intelligent culture technology. By connecting environmental parameter sensing equipment, fine image observation equipment, automatic feedback/delivering equipment,central intelligent learning/processing platform, an intelligent production system of aquatic fry can be completed,the big data on production parameters can be collected, optimizing breeding strategiesefficiency,increasing the breeding profitability more than 10 times.
    • 圖機器學習高回報率金融商品推薦技術

      FutureTech 圖機器學習高回報率金融商品推薦技術

      In the context of FinTech, we present Financial Graph Attention Networks (FinGAT) to recommend high-profitable stocks in terms of return ratio using time series of stock pricessector info. Our FinGAT can learn the long-short-term price tendency,model the latent interactionsinfluence between stockssectors without any hand-crafted effort. Experiments conducted on Taiwan Stock, S&P 500,NASDAQ stock markets exhibit remarkable accuracy of FinGAT, comparing to state-of-the-arts (by 11, 14,12 performance improvement). The tech is published in IEEE TKDE 2021.
    • Personalized emotion sensing for spoken dialog interface

      AI & IOT Application FutureTech Personalized emotion sensing for spoken dialog interface

      The technology is an integrated solution incorporating the retrievable personality for multimodal emotion sensing for spoken services. This framework provides a real-world flexibility that enables the estimation of the target speaker emotion states without manual personalization.
    • Peripheral Arterial Disease Screening System

      Bio-tech & New Drugs FutureTech Peripheral Arterial Disease Screening System

      In Taiwan, there are almost 96 million people look for medical treatment due to diabetes. The project successfully used the infrared light measurement system to observe the differences between the bilateral feet,collocating with the Chaos Synchronization to measure the differences between different signals, to decrease the probability of the attendance as the ultimate objective .
    • 邊緣人工智慧推論系統之智產元件產生器

      FutureTech 邊緣人工智慧推論系統之智產元件產生器

      "1. Automatically generate Verilog code tools based on the hardware architecture of convolutional neural networks: 4 different hardware architectures (output stationary, weight stationary, Tree architecture, NVDLA) can be generated for the currently more commonly used DNN networks. 2. Visual performance index analysis tool: According to the selected DNN model,the choice of hardware architecture specifications, analyze the performance index."