Huijia Health's nFOPT® non-invasive optical fiber physiological monitoring technology and new generative AI smart care system provide 24-hour safety and health management solutions for all ages from infants to the elderly. nFOPT® technology utilizes the total reflection principle of optical fiber data transmission, has no electromagnetic wave interference, and has high sensitivity and high precision physiological sensing capabilities. Combined with the generative AI system, it can actively and intelligently monitor various physiological indicators, including respiration, heart rate, pulse, sleep status, cough frequency, blood pressure, etc., and can be applied to smart cushions (such as clothing, pillows, mattresses, cushions), Smart assistive devices, smart care systems, smart driving and other scenarios.

For road safety, traffic efficiency, and energy savings, we adopt V2X and 5G C-V2X advanced technology to develop smart transportation including iDVR fleet management, driving assistant, AI sensors, RSU, OBU, etc., optimizing the driving and traffic operation.

The power of 5G opens new opportunities for manufacturing upgrades. FET integrates Big data, AI and IoT technologies to build the first “5G Smart Factory” in Taiwan. We provide comprehensive smart manufacturing solutions from IT to OT, accelerating the progress towards Intelligent Manufacturing！ Features * 5G Private Network as a Service：Enhancing network security with MEC, seamless movement between buildings and flexible production with different industry I/O to 5G wireless network * AI Production Line Auditing：Manual process motion detection and intelligent control without omission * Smart Sensing：Real-time sensing of machine and pipeline abnormalities through flexible soft sensing patches * Enterprise Intelligent Cloud Center：Based on the “IT as a Service” concept to assist enterprise to build up Intelligence Cloud Center, which supports multi- services like virtual machines, virtual desktops, container and extension to the cloud

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.

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

SNAPPASS is a next-generation 2FA access control solution that converges facial recognition with card-based access. By encrypting biometric data onto SNAPPIN cards, card owners have complete ownership over their data, enabling scalable and resilient biometric infrastructure that doesn't need a database or internet connection. 1. Enhanced Privacy Protection: Each user’s biometric data is encrypted exclusively onto their SNAPPIN card, processed locally only upon terminal activation, and immediately erased after authentication. By eliminating the storage of sensitive personal data, SNAPCHECK offers a scalable solution that safeguards identity privacy, providing institutions with peace of mind against threat actors. 2. Advanced Defense Against AI Threats: SNAPCHECK is designed as a formidable defense against AI-powered social engineering attacks. Equipped with a triple-camera HDR array and wide-angle optics, SNAPPASS reliably detects and identifies facial features even in the most challenging lighting conditions. When paired with SNAPCHECK’s advanced recognition and liveness detection algorithms, this system is prepared to counter emerging AI threats with precision and effectiveness."

GSS's Vital NetZero is a cloud-based carbon management system that supports international standards, such as ISO 50001 Energy Management System, ISO 14064-1 Organizational GHG Inventory, and ISO 14067 Product Carbon Footprint. It helps enterprises navigate compliance requirements amidst pressures from domestic and international net-zero policies, carbon tariffs, and supply chain demands, enabling enterprises to tackle compliance requirements, achieve net-zero emissions, and practice sustainability.

TECO develop Air conditioners base on the core vision of ” Energy Saving , Emissions Reduction, Intelligent Operation, Automation” in order to provide total AIoT solutions. Our residential air condition series apply “Smart maintenance system” which could inspect operation status/ collect data /diagnose issues and provide appropriated troubleshooting suggestions proactively and precisely. The system utilizes expert system not only solve issues but also initiate a tailor-made service plan in a shorter time with less manpower.

The Central Weather Administration (CWA) is the government agency responsible for earthquake monitoring and reporting in Taiwan. In order to reduce fatalities and property losses caused by earthquakes, a high-density real-time seismic network and the advanced earthquake early warning (EEW) system have been implemented and in operation. Currently, the CWA EEW system can issue the warning message in about 10 seconds after a strong earthquake occurring in or very near Taiwan. Starting from 2021, in order to further enhance the benefit of EEW to the practical earthquake hazard mitigation, the CWA has begun to develop the customized urban EEW system. By means of introducing the on-site earthquake early warning methods, and developing the artificial intelligence models. The systems, particularly for the big urban shallow earthquake, aim to further shorten the time of EEW to 7 seconds. That means it can give warning to the areas about 25 km away from the epicenter, and more people could be alerted before the destructive shaking.

FET has been investing in the development of IoT applications for a long time and assisting Taoyuan City to become the first city in Taiwan which adopts large-scale intelligent lighting system and LED street lamps. FET has also integrated 5G and AI technology to launch the "5G Smart Pole" solution, providing a variety of smart application services and accelerating the transformation of Smart City! Features * Smart pole can combine Digital Signage, IP camera, high efficiency street lamp, Roadside Unit, 5G Small Cell and EV charger * Base on 5G smart pole alliance standards

The Smart Mobility Solution is best fit for 2 industries: (1) With the occurrence of service demand, the service provider take requests that are to fulfill in limited time. Company such as ride-sharing, food or grocery delivery, professional services(car washing, garbage recycling, house maintenance, roadside assistance, etc., (2) Are required to deliver multiple shipments by 2/4 wheelers to destination at the same time. Factors such as specified time, locations, travel intervals, oil consumption, travel distance, are to be considered. A logistic company is the target audience under the scenario. The Smart Mobility Solution takes account of all possible concerns that the 2 industries encounter daily. With its unique AI algorithm, ETA data, etc., From the moment when the consumer inputs the address, the routing, distribution, delivery, records, optimization, all progress is assisted by 2-5 API tools. During implementation, industries are accompanied by Google premium partner Master Concept. Industries are expecting 1. Enhance to consumers and drivers experience 2. Increase to delivery efficiency 3. Cost saving to manpower and vehicles 4. Achieve ESG goals.

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.