Combined with millimeter wave radar detection of chest undulation breathing modeheart rate, continuous blood oxygen detection, active disease record of chat robot,mobile phone analysis of 30 second sittingstanding alternate activity frequency mode, a set of personalized respiratory capacity benchmark is established through AI modeling, which can be applied to zero-contact respiratory physiological monitoringuseful for infectious disease ward, epidemic prevention hotels, centralized quarantine centers.

This technology uses in-situ optical photointerrupt sensorin-situ acoustic ultrasonic transducer to measure the growth of fouling layer thickness during membrane water treatment. Being the world’s first to combine real-time filter speed attenuation dataphysical mode of clogging, the clogging of film can be instantly analyzed in a smart way which in turn effectively extends its lifetime. T

Combining automatic real-time flood sensing technology from Civil IoT with real-time precipitation data from CWB to reduce the incidence of false alert. By merging technology with Google Street View, terrain data and real-time observation image from MOI, users can easily get information about flooded area through Disaster Response Decision Support System (DRDSS)

The Artificial Intelligence Underwater MonitoringManagement system is a system that integrates aquacultureinformation technology, which can collect image data of shrimp 24/7 by using IoT devices, then next enhance the images that collected under different light, water qualityturbidity. The system will recordanalyze the number, size, healtheating status of white shrimp, checking the amount of leftovers feed on the feeding tray, then manage the feeding strategycontrol water quality based on the above analysis.

"On site EEWS system could detect very minor seismic P wavepredict upcoming earthquake intensitygive advanced warning to high precision manufacturerIOT devices to enable service like vocallighting warning system for early escape, gas auto shut down, elevator stop system. Structural safety monitor system could give you a flash assessment report for you to take earliersafer next step."

The technology of 「Guard Patch」includes three parts. 1. Wearable devices, 2. Intelligent wireless monitoring system. 3. Cloud server with AI to avoid the happen of cardiovascular diseases (CVD). The products of 「Guard Patch」also includes three parts: 1. Medical Market: (1) YuGuard, (2) YuSound, (3) YuRine. 2. Wearable Market: (1) YuCloth, (2) YuPet, (3) YuBelt. 3.Educative Market: TriAnswer. The mentioned seven products developed by Yutech can be employed in medical, wearable, educative markets to satisfy the different demands of customersachieve the dream of 「Bioelectronics Garden」

Let drone parks on the wireless charging stand,after the capacitor is stored, the drone is allowed to flythe wireless charging stand can be set at several different predetermined places, so that the drone is in flight, ifWhen the power supply unit is insufficient in power, it flies to the wireless charging stand to perform wireless charging operation,the overall flight distance can

Integrated Taiwan＇s superior industries such as semiconductor manufacturing processes, precision micro-molding, hot embossing,chip packaging to develop Pt/Au nano-alloy electrodes with applications in neutral non-enzymatic glucose biosensorsneutral non-enzymatic glucose biofuel cell. This novel Pt/Au nano-alloy electrode possesses advantages of technology foresight, good detection perfor

A wearable sweat sensing device is developed for health monitoring during exercises to prevent illness caused by fluid losses. By biomimetic designchoosing material with high permeability, the sweat collector possesses high sweat collection efficiency, rapid transportlow response time. Inside the channel, salt concentrationsweat rate is deduced by electric property analysis. Finally

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.

The smoke removal device with smart detection has the capability of gas detectionindoor air circulation. The system is internally equipped with a sensing device. If an abnormal PM2.5 valuea high concentration of dangerous gas is detected, the fan can be automatically activated immediately to quickly filter the air,both preventivemonitoring functions can be achieved.

This technology develops an intelligent surgical pressure detection system, including a pressure sensing element embedded in a surgical cotton pad, a signal reading device,a big data analysis database. The measurement data can be transferred to the AI big data database. Using AI technology, the surgeon＇s force can be recognized in real timethe calculation result can be immediately returned to the system APP. Let the surgeon who performs the operation get the most real-time information, which can avoid organ damage during the operation,effectively protect the safety of patientsthe rights of physicians.

We apply diffuse reflectance spectroscopy method to accurately determine the skin properties of subjects. Our device has a very simple configurationthe detected reflectance is processed with an advanced, efficient machine learning algorithm to quantify the skin composition of subjects.

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.

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.

An IOT sensor was presented to detect human motionvital signs with Wi-Fi signals. It mainly combines MIMO beamforming, injection-locking radarmachine learning techniques to recognizetrack physicalphysiological activities for health status monitoring. As a proof of concept for pandemic prevention, the presented sensor aims to inspect whether someone is exhibiting signssymptoms of COVID-19 infection within the Wi-Fi coverage area, such as fatigue, cough, shortness of breathirregular heart rhythm,even to detect sudden death.

This technology aims to develop a set of UAV observationmonitoring technology for the atmospheric boundary layer. The Key technologies include mission-oriented integration technology, ultra-high vertical flight capability, long-distance data wireless transmission, real-time data displaycorrection, automatic take-off, data analysis technology,data upload to the cloud in 4G. This technology has participated in international experimentshas entered the stage of international promotion.

Our PEDD has been used to detect the HNE level in both tearwound fluids of 9 patients,the limitations of detection were about 0.76 μg/mL0.63 μg/mL respectively. Our device requires only 15 minutes, 3 μL of clinical sample for each test,offers superior sensitivity compared to other current HNE detection methods. The HNE concentrations in the patient samples have shown that the elevated HNE levels might suggest an abnormal healing of either acutechronic wounds, consistent with previous studies that showed excess protease levels in all non-healing wounds.

We present pen-probe analyzers based on ion-mobility spectrometrymass spectrometry for in-situ detection of volatile organic compounds (VOCs)mapping of VOCs emanating from surfaces. User approaches probe to the analyzed object,presses a button on the probe. The collected data are uploaded to the Internet cloud for retrievalprocessing. Every data file contains the exact timegeographical co-ordinates of sample collection site. In another embodiment, the pen-shaped probe has been robotized to enable open-space samplingmapping of VOCs emanating from solid specimens.

Using seismic impact simulation to dynamic display the three-dimensional structure modeling of active fault model,dynamic response on 3D building, utilize augmented reality (AR) technology to show the building dynamic simulation mixed-reality.

Here we present a portable microfluidic device that can perform immunoassay for infectious disease diagnosis or detect heavy metal ions in water samples. The device is composed of two major components: nanomaterials modified paper-based detection platform and semi-automated flow manipulator. A reusable 3D-printed device is used to hold a disposable detection pad that modified with functional nanomaterials for water quality monitoring or antibodies for disease diagnosis. Besides, the use of spring-containing 3D-printed syringes manipulates a large-volume sample without manual actuation. Meanwhile, by controlling the flow rate via the linked flow regulator at the syringe outlet, solutions can react stably with the paper platform, which provides detection and pre-concentration effects.

"NCU/GPSARC developed a 1DVAR RO data retrieval system, which retrieves the FORMOSAT-7 (FS7) RO refractivity to obtain atmospheric temperaturemoisture profiles. The high vertical resolution atmospheric soundings are comparable with radiosondes. The system is one of the components of the TROPS,it is operationally performed by CWB TACC. Based on Chen et al. (2020), we further apply the nonlocal RO operator with FS7 data in an advanced hybrid data assimilation system for the detection of tropical cyclogenesis. The processing systemdetection platform have been implemented at GPSARC."

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.

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.

The developed Unmanned autonomous underwater vehicles (AUV) included 3-D modeling technology, wireless power transfer between sub-system in AUV, GPS underwater locate system, low complexity frequency domain on ocean floor analyze with AI network, underwater objects detection network, image dehaze network on groundunder water, underwater color correction network, underwater objects classification network, underwater optical characteristic algorithmLED color compensation system.

This project is to implement a 37-40 GHz mmWave transceiver supporting 4096 QAM modulationis utilized for long-distance 4K/8K real-time image data transmission. The 37-40GHz band is divided into 500 channels,the AI technology is used for the TRx to carry out digital calibration. The achievement is TRx module (SoC/SiP)would be installed on the UAV for wildlife resources monitoring.

The technology is video-based blood pressure monitoring which will help people know the continuous BP status in real time. Also, the contactless measurement can make a daily health record. We have conducted clinical trials in hospitalsestablished a large database to optimize AI solution. The system joins the physicians＇ specialty to analyze the users＇ health status with AI,takes care of human life with technology.

The IAMA system with Automatic Virtual Metrology (AVM) technology can enable a 3D printing laser powder bed fusion (LPBF) machine to achieve the world＇s first innovative capability of online layer-to-layer quality predictionfeedback control, which improves the final product quality such as tensile strengthsurface roughnessrealize the goal of nearly Zero Defects of all products.