進階篩選

Technical category
技術研發單位
    • A Badminton Training and Activities Recognition System

      AI & IOT Application FutureTech A Badminton Training and Activities Recognition System

      The system consists of a racket sensor, a smartphone App, and the IoT shuttlecock serving machines. Data of the 3-axis inertial sensor will be sent to the smartphone via Bluetooth for analysis. The App can recognize 7 stroke activities, including clear, cut, drive, lob, rush, net play, and smash using machine learning algorithms, while the speed, force, and stroke times are recorded at the same time. The App also enables the user to set parameters of the serving machines for assigning shot placements and serving schedules.
    • 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.
    • Multifunctional liquid crystal smart cloud sensors

      AI & IOT Application FutureTech Multifunctional liquid crystal smart cloud sensors

      This technology is a new microarray chip sensing technology that integrates "organic light-emitting diodes", "liquid crystal chemical sensors" and "mobile communication system" into "multifunctional liquid crystal smart cloud sensors". The obtained signals are uploaded to the cloud for multi-dimensional analysis to achieve multiplex detection in one single sample. This sensor device is lightweight, low-cost, simple to operate, and the target-of-interest can be custom-made according to user needs.
    • Air quality index (AQI) gas sensor service platform

      AI & IOT Application FutureTech Air quality index (AQI) gas sensor service platform

      The optical detection device is fabricated based on the nitrogen dioxide absorbs the wavelength of light from 400nm to 550nm. The detection range, resolution and sensitivity are related to design of light path. The light signals can be received by the photodetector convert to concentrations of nitrogen dioxide which transfer to computer or mobile immediately.;The all-solid sulfur dioxide gas sensor developed by SSID team. The key technology is the special functionality of solid electrolyte and electrode materials, and then the layer material sequentially patterned design and planning. It can be used in high temperature and highly corrosive exhaust gas environment to achieve real-time monitoring of pollution emissions.;The 6'~8'MEMS technology service platform of TSRI was used to develop
    • Neuromorphic Intelligent Visual System for Low-Power Edge Devices

      AI & IOT Application FutureTech Neuromorphic Intelligent Visual System for Low-Power Edge Devices

      1.Low-Power Processing-in-sensor CMOS Image Sensor 2.Implementation of Low-PowerLow-Latency Deep Learning Chip based on Neuromorphic Intelligence (collaborated with MOST 108-2622-8-007-009) 3.Development of Neuromorphic Chip based on The Fruit Fly VisualSpatial Sensory Systems 4.Hardware-Software Co-Design for Neuromorphic AI Chips
    • External Field-Free Spin-Orbit Torque Magnetic Random Access Memory

      AI & IOT Application FutureTech External Field-Free Spin-Orbit Torque Magnetic Random Access Memory

      STT-MRAM: scaling down (submicron scale) along with issues of magnetic propertyintegration with semiconductor processing. SOT-MRAM: fundamental understanding on mechanism, integration with STT-MRAMCMOS for readout. VCMA-MRAM: understand the mechanism behind the observable VCMA phenomenon, integration with other RAMs for write/read.
    • 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.
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