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Technical category
技術研發單位
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    • Virus and Cell Culture Platform for Vaccine Production Technology

      Excellence Research Center FutureTech Virus and Cell Culture Platform for Vaccine Production Technology

      The "Viral Vaccine Cell Production Technology Platform" of this exhibition is based on 1. Host cell and virus match and colonization technology; 2. Cell-expressed virus receptor technology; 3. Blocking antiviral mechanism of host cell; 4. Immortalization technology of host cell; 5. Serum-free suspension cell culture technology to produce high-immunity virus vaccine strains containing intact virus antigens.
    • P-SERS: Rapid and Sensitive On-site Detection Platform

      Excellence Research Center FutureTech P-SERS: Rapid and Sensitive On-site Detection Platform

      Surface-enhanced Raman spectroscopy (SERS) is a useful analytical technique for detecting extremely small amounts of molecules. Herein, we designed a paper-based quasi-three-dimensional SERS substrate (P-SERS) that can provide potential to improve Raman analyses for food safety, pesticide poisoning, precision medicine, drug abuse and DNA/RNA testing. The sensitive, low-cost, flexible and disposable SERS substrate could be easily fabricated by physical deposition of gold nanoparticles array onto a filter paper. In this case, we are able to create non-continuous Au islands on the fiber surfaces, where the gaps between AuNPs can dramatically generate the high electric field to enhance Raman signal of target molecules.
    • Zero Contact Detection-Facial Stroke, Heart Rate and Breath Detection Technology

      Precision Health Ecosystem FutureTech Zero Contact Detection-Facial Stroke, Heart Rate and Breath Detection Technology

      We use features such as asymmetric expression and crooked eyes to assess the risk of facial stroke. Observing the micro vibration of the head caused by the contraction of the heart, and develop a zero-contact facial heart rate and respiration rate detection technology in conjunction with the camera. The technology can accurately measure heart rate and respiration rate in real time, thereby reducing the risk of infection. This technology has obtained two ROC patents (M590433, I689285), two US patents (HEART RATE DETECTION METHOD AND DEVICE THEREOF,MOUTH AND NOSE OCCLUDED DETECTING METHOD AND SYSTEM THEREOF). The possibility of detecting strokes through AI machine learning methods is not only accurate, but also find out signs of stroke early to grasp the best time to seek medical treatment.
    • 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.
    • Rapid Detection of AIOT Platform for Food SafetyEpidemic Prevention

      Precision Health Ecosystem FutureTech Rapid Detection of AIOT Platform for Food SafetyEpidemic Prevention

      The innovative technology which is based on the unique biomimetic material, including immunomagnetic nanoparticles, aqueous extraction solvent,a portable IoT detection device promotes the detection speed, accuracy,precision of the target molecule. Featuring with the excellent ability of non-specific binding, this technology decreased the probability of false-negative/false-positive succe
    • 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.
    • 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
    • Precision blood test for detection of breast cancer

      Precision Health Ecosystem FutureTech Precision blood test for detection of breast cancer

      EPICAn is a novel technique that uses liquid biopsy for epigenetic analysis. Using methylation-specific PCR method to analyze specific gene methylation of cell-free DNA in plasma for early detection of breast cancer. The advantages of this technology are 1. High accuracy 2. Low false positive rate 3. Low-invasive 4. less limitation 5. Available for routine continuous detection 6. Monitoring cancer changes 7. Aided diagnosis 8. Automated process 9. Easy-to-operate 10. Rapid analysis. It is expected that EPICAn technique can increase the accuracy of early detection of breast cancer and aid clinicians' diagnosis.
    • Analysis of Virus Structure of White Tail Disease for Shrimps

      Smart machinerynovel materials FutureTech Analysis of Virus Structure of White Tail Disease for Shrimps

      With the use of E. coli expression system, capsid protein assembly in vitro, X-ray photoprotein crystallographycryo-electron microscope, the T=3 capsid structure of white tail disease viruses for shrimps has been resolved successfully, such that an entire model for capsid structure of virus could be provideda mechanism for viral assemblyinfection could be understood.
    • Cardiovascular Disease Detection, AnalysisEvaluation System-On-ChipPlatform

      Smart machinerynovel materials FutureTech Cardiovascular Disease Detection, AnalysisEvaluation System-On-ChipPlatform

      The objective of this project is to develop a portablewireless urine detection systemplatform for prevention of cardiovascular disease. The main idea is to develop a system-on-chip, a microelectrodemicrochannel chip to detect biomarkers concentrations in urine. And then, it will be wirelessly transmitted to a smart application platform to evaluate user’s cardiovascular status.
    • RSV VACCINE COMPOSITION COMPRISING HEPATITIS B VIRUS-LIKE PARTICLES AS ADJUVANT

      Bio-tech & New Drugs FutureTech RSV VACCINE COMPOSITION COMPRISING HEPATITIS B VIRUS-LIKE PARTICLES AS ADJUVANT

      In this project, we have reorganized several highly immunogenic sitesstructurally essential regions to maintain it in a pre-fusion stateuse it as main antigen in our RSV vaccine candidate (RSV-F005). To induce a mucosal immune response, intranasal administration route was chosen. New mucosal adjuvant (H-muad) has been tested in threee animal models.
    • Consumables-free, remote,rapid optical detection of plant pathogensDr. Lan

      Precision Health Ecosystem FutureTech Consumables-free, remote,rapid optical detection of plant pathogensDr. Lan

      Based on the optical fluorescence of the plant, the technology distinguishes the difference of the main protein infected by virus from the normal ones with the feature light. The main difference of this technology is to omit the complicatedbiochemical-material- consumption procedures. With the establishment of big data, the artificial intelligence algorithm identifies whether the implant is.
    • Using 3-D Capsule Network for Nodule Detection in Lung CT Image

      AI & IOT Application FutureTech Using 3-D Capsule Network for Nodule Detection in Lung CT Image

      The computer-aided nodule detection system in CT image consists of the search sliding window, YOLOv2 architecture, 3-D CapsNet, skip connection,post-processing. First, the CT image is divided into numerous VOIs by sliding window. Second, a 3-D CapsNet based on YOLOv2 architectureskip connection is applied to the VOIs for classifying VOIs as nodulenot. Finally, the non-maximum suppression algorithm is performed to decide the final detection result.
    • The electrochemical sensor for the quick detection of food freshness

      AI & IOT Application Innotech Expo The electrochemical sensor for the quick detection of food freshness

      The electrochemical sensor can detect bioaminesall amino acids without chemically labeling proceduresenzymatic catalysisbe capable of performing the measurement in pH-varied solutions . The electrodes can be modified with a specific membrane for the selective detection of histamineintegrated with a separation device to perform high selective detection of multi-analytes.
    • 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.
    • 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.
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