Introducing the innovative “Carbon Accounting Account” service developed by E.SUN Bank. E.SUN Bank’s cardholders can now open their Carbon Accounting Account in the “life” section of E.SUN Wallet app. By using a credit card or debit card with the EasyCard function to ride designated public transportation such as MRT, buses, intercity buses, high-speed rail, Taiwan Railways, and Youbike, cardholders can check their transportation carbon reduction. They can even compare it to the equivalent decrease in toilet paper rolls or plastic bottles, making carbon reduction efforts in daily life more tangible.The “Transportation Carbon Reduction” service is developed by EasyCard Corporation and is the world’s first electronic ticket greenhouse gas inventory management system to pass the British Standards Institution (BSI) audit. This ensures that the carbon reduction data is more credible.

AI on-site Earthquake Early Warning System A highly optimized system setting and design to sense earthquake P-Wave within 3 sec and through AI model to predict PGA and PGV immediately and send information to customer for further application Product Advantage -Customization by customer demand -Professional team to optimize system set up to avoid environmental noise and interference -Multiple system design to enhance system stability and efficiency -Close loop design for information security -AI model with best system set up for best performance in speed and accuracy -Evolving AI model with more data collection

With our fiber sDAS, Wave-In effectively reduce mobile signal dead spots caused by insufficient base station coverage, buildings or electromagnetic signal interference. Due to the pandemic, Taiwanese Engineers weren’t able to assist with on-site installation and coverage testing, to solve this problem and improve efficiency, Wave-In utilized Mixed Reality for collaboration and remote assistance.

As the response to pandemic and epidemic prevention effort, ARBOR combined “Infrared Thermal Imager technology” with “high performance medical panel PC”, and Recognition AI, to create LK403, Portable temperature and mask detection station.

Smart Safety Solution (During earthquake) P-WAVER works with partner to provide safety escape solution for people at home or at office through coordinated IOT device to deal with earthquake smartly in timely manner -Smart light guiding system -Smart broadcasting system -Elevator urgent stop system -Gas auto shutdown system These are already in service in some community, hospitals, arena, station, buildings.

Key Features & Highlights Intelligent Monitoring: Advanced sensors and AI record real-time exercise data, providing actionable insights for precision and safety. Data-Driven Training: Generates personalized plans and dynamically adjusts based on performance. Medical-Grade Reporting: Offers reports with exercise scores, stability evaluations, and improvement recommendations. Smart IoT Connectivity: Enables remote monitoring and data synchronization for smart healthcare solutions. Patented Technologies Eccentric Training Technology (Patent No: I840182): Reduces strain while improving muscle strength, ideal for rehabilitation and sarcopenia users. Maximum Strength Curve Measurement (Patent No: I838256): Dynamically adjusts resistance, enhancing safety and training efficiency. AI-Driven Training Plans: Creates tailored plans in seconds, ensuring personalized and effective workouts. Applications Medical Centers: Assists physicians in improving patient rehabilitation outcomes. Smart Gyms: Provides data-driven, personalized training experiences. Urban Health Systems: Supports public health initiatives through integrated smart solutions.

Through Sensor Node, including water level sensor, rain gauge, data recorder and LPWAN transmission module, the system provides the information factors including water level , rainfall, inundation height inside and outside the water gate. Then transmit data to the back end system. The members in emergency center could do the best practices based on these crucial information

WeatherRisk provides tailored energy forecasting solutions for the energy industry, including: 1. High-resolution, bankable historical data (metocean, solar irradiation) 2. Weather forecasting systems for O&M (offshore wind farms, solar assets) 3. Solar power forecasting (solar assets and grids) 4. Wind power forecasting (wind farms and grids) 5. Load forecasting Energy forecasting has a wide range of applications in the energy industry: • For FTM (front-of-the-meter) power dispatch, ancillary services, asset evaluation, and PV-Storage. • For BTM (behind-the-meter) virtual power plants, microgrids, renewable energy trading, as well as strategic support for energy market operations.

Founded in 1998, Openfind has been dedicated to helping businesses leverage communication and collaboration services. We offer a comprehensive range of solutions, including enterprise search engines, email, email protection, email archiving, auditing encryption, file sharing, as well as instant messaging and online collaboration. For Openfind's product line, we incorporated AI applications to offer customers a smoother and more secure user experience. To accelerate email processing efficiency, Openfind provides AI-powered features such as email summarization, writing assistance, and content rewriting. In email security and auditing, it can detect and prevent potential attacks and data leaks, while archiving all incoming and outgoing emails for future auditing purposes.

Introducing LIVA smart charger, which complies with ISO/IEC 15118 and supports Plug-n-Charge. It simplifies the charging procedure and makes a joyful charging experience. Forget about cash or cards and charge your EV that easy!

As solar generation applications continue to evolve, ensuring stable equipment operation and maximizing generation efficiency have been a main concern for owners. The platform integrates AI-driven O&M technology with precise data analysis to provide comprehensive equipment monitoring, real-time anomaly detection, and intelligent maintenance recommendations. This reduces operational costs and significantly enhances overall power generation efficiency.

This exhibition is an atmospheric physical-chemical grid model for prediction of changes in air quality, utilizing data from the U.S. NCEP global weather forecast and regional air pollutant emissions. Local scientific investigation data has been used to adjust and calibrate the model and thereby largely improve the accuracy of the air quality forecast over Taiwan. The 3D display system enables us to understand the transmission processes of cross-border and local air pollution. The system is capable of simulating the changes in air quality over the next three days (72 hours) in Taiwan, with a temporal resolution of 1 hour and a spatial resolution of 3 km. The simulated data can be integrated with air quality data from the Civil IoT Taiwan, providing air quality forecasts every three hours (totaling 72 hours) for six metropolitan areas This system offers regulatory authorities up-to-date information on air quality trends in Taiwan, as well as critical data for formulating control strategies.