This project establishes a 5G private network in rural Tainan schools, introducing AR/VR gamified English teaching. Students engage in scenario-based games, simulating English conversations in virtual reality, fostering entertaining and interactive learning. The curriculum incorporates famous global landmarks and utilizes AR technology for checkpoint missions, enhancing student interest. Beyond English education, the initiative collaborates with the National Palace Museum, integrating AR/VR historical artifacts. Using 5G streaming, historical content is seamlessly integrated into campus teaching. The project not only enhances learning outcomes in rural junior high schools, reducing the urban-rural digital gap, but also has the potential for nationwide expansion. Through cross-disciplinary collaboration, it drives the development of both horizontal and vertical industry chains.

This product addresses issues faced by physicians in assessing fistula blockage, including the lack of quantifiable measurements, high costs of precise assessments, and lengthy measurement times. By using patented audio equipment and a proprietary AI model, this product enables accurate assessment of fistula blockage levels, transforming what was once a time-consuming, labor-intensive, and experience-dependent task into an efficient and reliable process.

This service can avoid children and elders being lost. Users merely have to bring the device with them, through the sensor installed at the service area, family members can immediately receive users’ instant position through exclusive website, LINE or App. 【Real-time Positioning】 The caregiver can dynamically query and know about the real-time location and the path data for each care receiver. 【Guarding Area】 The caregiver can set different areas as guarding areas, and they will be notified if any care receiver enters or leaves these areas.

Our core product, AI-Stack, is a leading AI infrastructure management platform, essential for businesses adopting AI services. It integrates third-generation GPU partitioning, GPU aggregation, multi-node computing, a new user interface, multi-cloud management, open-source deep learning tools, and environment deployment features, helping enterprises tackle the challenges brought by fast-paced AI advancements.

The BSMX series of early warning modules for lithium battery thermal runaway, developed by Taiwan Intelligent Pollutant Sensing Co., Ltd., is a next-generation BMS upgrade solution that requires only simple installation to integrate with existing systems. The module is equipped with high-sensitivity sensors developed specifically for energy storage safety applications, with a rapid response time of as fast as three seconds. The module offers multiple signal output interfaces to choose from and features a proprietary smart algorithm that eliminates the need for calibration after installation. It is particularly suitable for energy storage systems that operate continuously for long periods and are difficult to maintain

Through the integration of YFY Group's biogas power generation with external photovoltaic (PV) systems, we ensure a reliable supply of diverse green energy, available either during daytime hours or continuously on a 24/7 basis. Our tailored solutions are designed to economically optimize green energy portfolios for businesses, enabling cost-effective and efficient energy transitions.
In addition, we offer carbon management services to provide a more comprehensive and sustainable pathway toward achieving net-zero emissions.

Feature •Automatic Gain Control (AGC). •Backlight Compensation. •Automatic White Balance. •Wide Dynamic Range (WDR) function with 120dB at 30 FPS. •Night noise suppression function. •Nighttime shooting with automatic aperture adjustment. •Stable image quality during low-light shooting at night under stable external light conditions, ensuring no flicker or color rolling, and clear nighttime images. Specifications •Uses a CMOS 1/3” Image Sensor. •MAX Resolutions：2MP (1920×1080 pixels)，D1 (640x480 pixels) •Maximum Frame Rate：30 FPS @1920×1080，30 FPS @640x480 •Focal Length：2MP lens ： 2.8-12mm±5%，D1 lens ： Fixed •Minimum Illumination：Color： Below 0.06 Lux，Black：Below 0.02 Lux.

Taichung City has deployed 1,220 air quality sensors, utilizing IoT and AI learning, along with a geographic information system to visually present real-time sensor monitoring data.By leveraging big data analysis, pollution hotspots and peak pollution periods are identified to assist environmental agencies in smart law enforcement. Additionally, cross-department collaboration is implemented for environmental governance, employing intelligent technology management for air quality control. The integration of unmanned aerial vehicles (UAVs) further enhances pollutant sampling efficiency.

-)Data Collections -)Real-time Monitoring -)Decision Analysis -)Data Visualization Increase Capacity, Raise Efficiency, Cost Down

The light rail transit (LRT) system could improve capacity of mass transit. However, most of the accidents occurred because road user run a red light, which affected LRT passenger rights. ž Using lidar/radar to detect the collision event may occurred. (reference the signal phase) ž Notify LRT driver the predicted event by C-V2X V2N solution. ž Outdoor N79 5G private network.

FET has its own AI development team and long-term experiences in cooperation with various county and city governments. We launch one-stop customized solutions for traffic management with AI license plate recognition technology. FET AI Traffic Management provides flexible programs according to application scenarios, effectively reduces violations/accidents and enhances traffic safety. Features * Intelligent traffic management systems powered by AI, machine learning, and computer vision * Offering serval scenarios such as running a red light, unsafe lane changes, trucks prohibited and pedestrian signals

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