To resolve public safety and security issues, NCHC developed intelligent video analytics and retrieval system, which can integrate the attribute analysis and recognition of vehicles/pedestrians from CCTV surveillance cameras, utilize TWCC high-speed operation in developments such as AI image semantic analysis and video synopsis technique, to effectively and rapidly search for key targets(vehicles/pedestrians) and provide short clips of the targets’ moving path simultaneously, and as a result fulfill the quick search application service of technological surveillance and Investigation.

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

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.

"For video anomaly detection, we apply pretrained models to obtain the foregroundthe optical flow as ground truth. Then our model estimates the information by taking only a single frame as input. For human behaviors, we take the human poses as inputuse a GCN-based model to predict the future poses. Both the anomaly scores of these two works are given by the error of the estimation. For defect detection, our model takes patches of the image as inputlearns to extract features. The anomaly score of each patch is given by the distance between the patchall the training patches."

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.

During the pandemic, it is necessary to reduce contactwear masks, but identification is still required. The original technology includes the development of inertial measurement units beneath the walking surface, real-time detection of gait,accurate predictions of gait parameters with machine learning models. Most importantly, our technology can use a small number of samples (only one footstep data) for identifications. Non-contact, non-monitoring,rapid identification are going to be the future applications in smart buildings/homes.

1. CDX is to provide an environment for long periods of time in coordination with school courses, including the simulation of a real company＇s network environment with randomly selected vulnerabilities in cyber defense contests. 2. HoneynetMalware Knowledge Base simulates systemapplication vulnerabilitiesthen monitors the cyber-attacksthe corresponding traffic flow.

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.

The Center has established a high biological conservation center for the breeding of P. monodon shrimp seeds that meet international standards,has integrated more than 40 professional technologies to select P. monodon shrimp strains that are specific pathogens free (SPF)have special traits for stocking in the three-hectare commercial P. monodon shrimp seed expansion test site in Hualien. This will provide a stable supply of good P. monodon shrimp seeds for use by the Taiwan aquaculture industry.

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.

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.

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.

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.

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.