進階篩選

Technical category
技術研發單位
    • To develop a Guidance Robot for Blind based on image processingdeep learning

      AI & IOT Application Innotech Expo To develop a Guidance Robot for Blind based on image processingdeep learning

      This theme is designed to implement the robot's appearancepractical functions. Apply PSPNet to detect the walkable planeYolo to detect obstacles, so that the robot has the autonomous obstacle avoidance function, informing more information about the environmental obstacles around the visually impaired,apply CNN to locate indoor position with self-built indoor database.
    • 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.
    • 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.
    • 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.
    • 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.
    • 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.
    • 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.
    • 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.
    • Intelligent Scalp Detection System

      Precision Health Ecosystem FutureTech Intelligent Scalp Detection System

      This system uses the innovative AIoT application to target annoying scalp maintenance problemsdevelops an intelligent scalp detectionmanagement system. The core of the technology is to use deep learning-based object detection models. Tens of thousands of microscopic image data sets that are labeledtrained for scalp symptoms. As a result, the scalp image recognition module is develop, such as dandruff, hair loss, oil, and inflammation, etc. Hence this system can provide scalp detection, and maintenance effectiveness tracking functions lead scalp maintenance services to a new level of intelligent management.
    • Peripheral Arterial Disease Screening System

      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 .
    • Super AI HPC System

      AI & IOT Application FutureTech Super AI HPC System

      Super fast terapixel server allows multiple users to viewanalyze gigapixelterapixel images with mobile devices, such as iPhones, iPads, Android mobiles,laptops at the same time. Users could annotateanalyze the data using built-in tools such as 3d effect, color deconvolution, color quantification, nuclei/object detection, lengtharea measurement,quantitative reporting system.
    • Artificial Intelligence for Customs Fraud Detection

      AI & IOT Application FutureTech Artificial Intelligence for Customs Fraud Detection

      With the astronomically growing trade flows, customs administrations need effective and explainable methods to detect suspicious transactions. This project presents a novel artificial intelligence-based model named DATE that ranks trade flows in the order of fraud risk and to maximize customs revenue. We confirm the superiority of DATE over state-of-the-art AI models, with a remarkable precision of 92.7% on illegal cases and a recall of 49.3% on revenue after inspecting only 1% of all trade flows. Predictions of DATE are also interpretable from the attention mechanism. We are deploying DATE in Nigeria and Malawi Customs Services, in collaboration with the World Customs Organization (WCO). DATE has been published in ACM KDD 2020, which is an AI top conference.
    • Occlusion resistant face detectionrecognition system

      AI & IOT Application Innotech Expo Occlusion resistant face detectionrecognition system

      The system, “Occluded Resistant Face DetectionRecognition System”, contains different scale detectors for calculating face locations. Additive angular margin loss is added into the training phase for achieving high efficiencyaccuracy. The system can achieves 80 accuracy under the 50 face occluded.
    • Web-based Diagnostic System for Assessing Psychiatric Disorders

      AI & IOT Application FutureTech Web-based Diagnostic System for Assessing Psychiatric Disorders

      The Al-based web diagnostic system provides an online assessment tool for diagnosing schizophrenia. The Explainable Deep Neural Network classifier is deployed to analyze gray matterwhite matter to derive diagnostic classification of schizophrenia. The structural brain abnormalities associated with schizophrenia is visualized on the AI-based web diagnostic system at individual level.
    • Intelligent Image RecognitionAnalysis System for Small-sized Insect Pest

      AI & IOT Application FutureTech Intelligent Image RecognitionAnalysis System for Small-sized Insect Pest

      This study built an automatic insect pest image identification system based on tiny Yolov3 deep learning model. By optimizing the tiny Yolov3 detection model, images of insect pests on scanned sticky paper can be automatically identified. The system achieves a testing accuracy of 0.93, 0.90 for whitefliesthrips respectively.
    • Flexible PPG sensor patch

      Medical Devices FutureTech Flexible PPG sensor patch

      A flexible PPG sensor patch for measuring pulsations of blood vessels estimating ambulatory blood pressure monitoring (ABPM). The measured quality PPG signals are analyzed to estimate blood pressure (BP), heart rate (HR), blood oxygen (SpO2)atrial fibrillation (A-Fib)avoid motion artifacts. In this way, with subject’s physiological condition apprehended accurately.
    • 3D Object ReferringGrasp Detection Networks

      AI & IOT Application FutureTech 3D Object ReferringGrasp 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
    • AI Liver Tumor Detector

      AI & IOT Application FutureTech AI Liver Tumor Detector

      Our technique is a liver tumor detection method using machine learning which is the most popular AI technique in these years. the high-magnification image provides more details, but the view is smaller in contrast, a low-magnification image has the larger view but less details. Thus, our method combines the two magnificationsyields more accurate tumor detection results.
    • Applying Machine Learning to User Mobility Type Identification for 5th Generation Mobile Networks

      AI & IOT Application FutureTech Applying Machine Learning to User Mobility Type Identification for 5th Generation Mobile Networks

      Due to the fast development of 5G networks, it is critical to identify users service types to allocate resources intelligently. Our technology focuses on users' mobility type identification by extracting practical features from users' cellular information. We proposed a system architecture and have collected 700-hour data with 150 GB. By using our data and other datasets in the world, we show that our technology can achieve 95% accuracy, and reduce 16% energy consumption compared to traditional methods.
    • Breakthroughsachievements of key technologies of six-axis force/torque sensor

      Smart machinerynovel materials FutureTech Breakthroughsachievements of key technologies of six-axis force/torque sensor

      Multi-axis force/torque sensors are key components of precision machinesrobot arms. Development of the multi-axis force/torque sensor is a popular research topic in Taiwan. This research developed design methods, calibration machinescalibration algorithms for multi-axis force/torque sensors. These efforts contribute the enhancement of precision of 0.20 (1.25 times than commercialize pro
    • Extreme small object identification for UAV monitoring

      AI & IOT Application Innotech Expo Extreme small object identification for UAV monitoring

      We develop the new neural network architecture to improve execution speedaccuracy. The result shows that our AI detection system can run on a microcomputer in real-time, meanwhile its accuracy 90. We put that microcomputer on a dronereturn the result to smartphone App in real-time.
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