By leveraging AI digital twin models, we predict KPI performance to support decision-making for backup machine selection, enabling energy savings and operational efficiency. Explainable AI is used to analyze the parameters influencing KPI, revealing that air compressor efficiency is strongly correlated with its shaft bearings, highlighting the importance of predictive maintenance for these components. Additionally, an intuitive dashboard visualizes the relationship between demand and supply data, facilitating real-time decision-making and responsiveness. With the integration of LLM Agents, users can communicate seamlessly with digital twins through natural language, enhancing usability and interaction efficiency.

Civil IoT Taiwan is part of the government’s Forward-looking Infrastructure Development Program under the Digital Construction initiative. With the collaborative efforts of the National Science Council, Ministry of Environment, Ministry of Economic Affairs, Ministry of Agriculture, Ministry of Transportation, Ministry of the Interior, Ministry of Digital Affairs, and Academia Sinica, the project is jointly executed across departments, prioritizing four key areas: air quality, water resources, earthquakes, and disaster prevention and response. By leveraging artificial intelligence and IoT technologies, various smart living services are developed to assist the government and the public in jointly addressing the challenges brought by environmental changes. By combining the innovative power of industry, academia, and research, the project aims to develop the IoT industry ecosystem and export solutions internationally.

By applying environmental sensing IoT technology and mobile sensors, the coverage of sensing can be significantly enhanced. With the analysis through AI algorithms, it assists governments in identifying potential sources of pollution for regulatory actions and pollution reduction measures. Meanwhile, supplemented by generative AI innovation technology, it achieves smart environmental governance.

The "Dosage Evaluation Method" applies AI technology to assess dosages for high-risk medications, using Vancomycin as an example. This method addresses limitations in clinical practice, where dosages are typically determined by physician experience or population pharmacokinetic parameters, which may not account for individual patient variability. Although several AI-based prediction models for dosage evaluation currently exist, most of these models directly suggest dosages, often without fully considering physician expertise. The innovation of this method lies in its approach to validating only the physician-selected dosage, providing reference feedback without influencing the physician’s final decision. This design not only respects the physician’s professional judgment but also enhances the safety of medication administration.

The imbalance of agricultural production, sales and labor shortage have always been a huge challenge for farmers. The independent 5G private network with O-RAN effectively introduces affordable smart agricultural system through a leasing model, combining AI, unmanned vehicles, image recognition and other field information to upgrade smart farm production management system and increase the revenue.

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.

CMS-WS Powerful digital signage server to give you maximum flexibility on the choice of media players! One for All, All with One With one CMS-WS, you can transform all your personal computers, notebooks, tablets, mobiles, etc., into digital signage players to strategically deploy customer touchpoints for different applications. Moreover, CMS-WS allows you to remotely manage up to 1000 devices through a simple and easy-to-use web interface. Small Budget, Big Result Compared to other cloud-based CMS software, you can spend less but benefit more from CMS-WS software. With CMS-WS powerful features, you can create a more personalized, more informative, and more memorable experience anytime, anywhere to maximize engagement with target audiences. CMS-WS is the most cost-effective solution for retail or small and medium-sized businesses to get big results from a small budget!

Traffic approach warning system is the combination of smart detectors and LED warning signs. The intersection is divided into detection lanes and warning lanes. Smart detectors are installed on the detection lanes. When a vehicle enters the detection area, the signal is transmitted to activate the LED signs on the warning lane to warn drivers to slow down in advance.

Ensuring your wallet stays slim and sleek, it features worldwide tracking, left behind reminder, and a super slim USB-C connector

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.

Our platform, TradeTioh (Taiwanese for “found it”), focuses on the local Taiwanese market. Through customized matchmaking services and technological innovation, we offer two-way matching features, real-time communication tools, and data-driven optimization algorithms to help buyers and suppliers quickly establish cooperative relationships. Looking ahead, we will continue to enhance our platform technologies and expand into international markets, aiming to bring long-term value to Taiwan’s manufacturing industry. On the TradeTioh platform, buyers can submit their procurement needs, and our core AI-driven technology will analyze the requirements and process them through our big data backend. The system then recommends the most suitable supplier candidates. Buyers can use the built-in messaging tool to directly contact the selected suppliers. The entire process takes only a few minutes—powered by TradeTioh’s core technology—making it far more efficient than traditional methods such as browsing websites, flipping through directories, or relying on referrals.

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.