Integrate dynamic (static) digital map data and network map services, also improve the efficiency of public construction review.

Currently, the prognosis of critically ill patients in the intensive care unit (ICU) is often assessed using the APACHE or SOFA scoring systems to predict mortality rates. However, these systems have been in use for over 20 years, and the data they are based on is outdated. Today, clinical data is more abundant and precise, and advancements in machine analysis capabilities have made traditional scoring systems insufficient for meeting the demands of accurate predictions and personalized medicine. To address this, our team has developed a survival prediction device for critically ill patients. Using an AI algorithm model, it utilizes clinical data such as physiological, laboratory, and examination results to predict the patient's survival rates for the next 30, 60, and 90 days, providing a more accurate reference for prognosis assessment and medical resource allocation.

A-MTK is IP cams manufacturer in Taiwan, and complete virtual fence solution with IP cams equipped with edge AI computing, edge alarm notification, and back-end NVR pop-up notify. A-MTK virtual fence solution is simple to set up, cost-effective, and can be applied to factory perimeter, campus perimeter, hazardous area protection.... etc. A-MTK virtual fence allows users to set up "Hand-drawn Shape Warning Zone", "Cross-line Detection", and "Personnel Loitering Detection" for different scenarios. No matter day or night, color or black and white, it can have the best personnel detection effect. After detecting the personnel, it can provide sound and light alarms at the IP cam edge-end. In the same time, the solution cooperates with the administrator's office to make remote alarms with A-MTK NVR software.

-) Prognostics and Health Management -) AIR & Expert Assist -) AIR Design Builder -) AIR Quality Check -) AIR APPs in Cloud

We provide a solution for integrating Internet of Things and platform systems for electric vehicle rental operators and charging station operators. This solution allows flexible configuration of management platforms and user apps, and supports third-party payment system API integrations, to create a comprehensive shared vehicle rental and charging service.

NCREE has developed a Hybrid earthquake early warning system (EEWS) by integrating on-site EEWS from NCREE and regional EEWS from Central Weather Administration (CWA). Within a 10 to 100-kilometer radius from the earthquake epicenter in the local region, this system can provide 3 to 15 seconds of warning time. To achieve effective alerts with the available warning time, the utilization of a Hybrid EEWS cloud platform is crucial. This platform facilitates the transmission of alerts and the affected administrative regions to various industries. Industries, in turn, leverage these alerts to develop warning systems and automated control devices tailored to meet the specific requirements of different environments. This approach aims to minimize secondary damages resulting from earthquakes, transforming EEWS beyond being notifications received Presidential Alert on mobile phones. Instead, it offers a multi-faceted alerting and disaster reduction application system tailored to different environmental settings.

The Smart Dust Sensor technology is an innovative solution for integrating IoT networks into air quality monitoring. Developed collaboratively by the National Science and The National Science and Technology Council (NSTC), in collaboration with Taiwan Instrument Research Institute (TIRI) and Taiwan Semiconductor Research Institute (TSRI) of NARLabs, and leading academic teams in Taiwan, this technology has successfully miniaturized gas sensors while achieving low power consumption and high sensitivity. Its core features include exceptional sensitivity and stability, enabling real-time monitoring of multiple gases. Moreover, the fully domestically developed technology reduces dependence on imports and offers cost-effective sensor modules, driving the widespread adoption of air quality monitoring devices. The Smart Dust Sensor has undergone extensive field testing and third-party certifications across various applications. These include environmental monitoring stations (e.g., Taichung Dali Station), public recreational areas (e.g., odor monitoring in public restrooms), and industrial settings (e.g., semiconductor facilities and wastewater treatment plants). With its proven accuracy, reliability, and traceable data, the technology plays a key role in advancing air quality monitoring solutions, facilitating the development of smart cities, and contributing to improved environmental management.

Integrated management platform, monitoring of real-time status in city and optimization of planning and operation with 3D digital twin model and data interface. On top of that, we have integrated with BriefCam Video Analytics Platform and advanced facial recognition system Corsight. BriefCam offers a robust portfolio of critical video analytics capabilities, fully integrated for video metadata search, alerting, and visualization. Corsight is an advanced facial recognition system that provides industry-leading accuracy in crowds and challenging environments. By applying the platform for various areas in smart cities such as smart building, smart factory, smart data center, and energy consumption, the users can gain an efficient integrated monitoring and management environment, intuitive monitoring based on 3D digital twin, and fast and effective response to events. It is an optimized solution for command and control centers in order to control every situation and manage operation centrally. Safety & Prevention of Accident • Detection of Aging • Failure of Infrastructure To Create a New Business Model • Management of City Resources and Core KPIs To Maintain Order in City • Public Transportation • Traffic • Parking Management ESG & Cost Control • Smart Energy Operation and Sustainability

The iMADC-STD is an automated dispensing cabinet that provides a safe and accurate medication management solution in the pharmacy. It dispenses medication, controls inventory, manages user access, reduces time, and improves efficiency for the facility. ADC optimizes the dispensing process, reduces human error and workload for pharmacists and nurses, and truly improves drug management.

The Ministry of Economic Affairs, Department of Industrial Technology has commissioned the Industrial Technology Research Institute's Center for Smart Sensing and System Technology to develop a "Composite Long-Term Air Quality Sensor." This sensor is capable of simultaneously measuring particulate matter (PM2.5), ozone (O3), carbon monoxide (CO), volatile organic compounds (VOC), and other air quality monitoring parameters. Also, the Industrial Technology Research Institute (ITRI) to develop a "Composite Water Quality Sensing System." This system enables simultaneous measurement and detection of parameters such as Chemical Oxygen Demand (COD), Suspended Solid Concentration (SS), Copper Ion (Cu2+) concentration, conductivity, pH value, temperature, and more.

The EUP Fleet Management System integrates ESG management, providing visualized reports and big data analysis to accelerate communication between the supply chain and transporters, ensuring effective ESG management and achieving carbon reduction goals. Through AI big data analysis, it automatically provides green ratings and compares carbon emissions with industry peers, enhancing market competitiveness and brand image. Additionally, cloud-based, digital, and automated management enables enterprises to easily monitor fleet emissions and develop carbon reduction strategies.

Safe Swim utilizes advanced AI technology to provide safety solutions for various aquatic environments.With SAFE SWIM Guard and SAFE SWIM Zone, the system adapts to different aquatic environments, using algorithms to accurately recognize movements in and around the water.It ensures 24/7, comprehensive safety monitoring, enhancing water safety and protecting every user’s life.