Located in Sanxing Township, Yilan County, the “Sloth Restaurant & Petting Farm,” covering approximately 1,000 ping, deployed the Omada business networking solution together with the VIGI intelligent surveillance system to achieve seamless Wi-Fi 7 coverage and centralized cloud management across the entire site. Through the Omada Central platform, administrators can monitor network status and surveillance footage in real time and remotely troubleshoot issues, significantly improving operational efficiency and maintenance management. VIGI cameras combine high-resolution imaging with AI-based detection technology to provide round-the-clock protection for both visitors and animals. This integrated solution delivers high stability, scalability, and ease of maintenance, establishing a new benchmark for smart touris.

mAST: Muscle Auto Strength Training System Modernizing Tradition: Transforms traditional Squats and Bench Presses into a safety-first, scientifically optimized, and high-efficiency training experience. Key Product Features ■ Superior Safety & Scientific Precision: Combines high-level safety protocols with data-backed insights for maximized training results. ■ Parameterized Controls: Offers diverse training modes with high-precision resistance control at 1kg increments. ■ Historical Data Analytics: Automatically logs every session, allowing users to track progress through historical data and analyze trends in training effectiveness. ■ AI Virtual Coach: Features automated resistance control paired with human-like audiovisual guidance, interacting with users just like a personal trainer. ■ Space & Cost Efficiency: No need for traditional bulky equipment, reducing procurement costs while creating a sleek, professional, and minimalist environment.

Through matchmaking of public and private forests, enterprises can acquire forest-related data through hosting mechanisms. This includes metrics such as survival rate, tree height, carbon sequestration, and corresponding SDGs (Sustainable Development Goals) indicators. Leveraging deep learning and image processing technology, CoCoTree transforms trees and forest landscapes into data, providing customers with highly accurate forest information. This includes metrics such as carbon emissions, tree growth status, and changes in the ecosystem.

There are increasing demand for self-service and remote-control devices.Besides safety reason, it is also easier for customers to purchase tickets and obtain travel information, plus the added benefits of time saving and convenience. MiTAC’s Smart ticketing solution for tourism was implemented at “Hạ Long Bay” in Vietnam. Passengers can use self-service devices, such as the Ticket Vending Machines, kiosks and POS to purchase tickets, place orders, arrange trips and inquire for additional information. The operators can also utilize automated devices and information system to reduce human resources investment, strengthen operational efficiency, and improve service quality. In addition, the operators can utilize the data collected for big data analysis for precision marketing in the future.

Live crowd movement information is crucial in busy public spaces. Manual checks and basic sensors often lack accuracy and fail to keep up with real-time changes. The People Counting System uses AI video analytics and multi-sensor fusion. It delivers accurate, real-time crowd data. The system automatically counts people, tracks direction, monitors density, and provides instant alerts and reports. Deep learning ensures accuracy in low-light or crowded conditions. Multi-target tracking prevents double-counting. Edge computing and cloud-based management enable on-site analysis and long-term monitoring. Integrating cameras, infrared, Wi-Fi, and Bluetooth data improves detection and increases coverage. The system generates real-time heat maps, flow analyses, and historical records. These support layout optimization, entry regulation, evacuation planning, and efficiency. The system serves malls, transit hubs, campuses, parks, and public buildings. It is vital for smart cities. It replaces manual counting with intelligent management for better safety, responsiveness, and adaptability.

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.

FET has long been investing in IoT application development and assisting Taoyuan City in becoming the first city in Taiwan to adopt a large-scale intelligent lighting system and LED street lamps. FET has also integrated 5G and AI technologies to launch the “5G Smart Pole” solution, offering a variety of smart application services and accelerating Smart City transformation. Features •Smart poles integrate digital signage, IP cameras, high-efficiency street lamps, roadside units, 5G small cells, and EV chargers. •Based on 5G Smart Pole Alliance standards.

Far EasTone’s Traffic Signal UPS System ensures that intersections remain “lit and flowing” even during power outages. By integrating Far EasTone’s self-developed monitoring and management platform with smart batteries and signal controllers, the system can instantly track battery levels, utility power status, and device health. When an abnormality in the utility power occurs, the smart battery automatically takes over to keep the traffic lights operating normally. This enhances road and public safety while preventing sudden traffic disorder or additional carbon emissions caused by congestion. At the same time, battery and UPS data are sent back to the platform, allowing management units to detect abnormalities in real time and respond quickly—building truly stable and uninterrupted smart mobility for cities.

Remote expert video collaboration solution uses AR smart glasses to transmit onsite situation to the remote technical experts with high-definition real-time video, and guide the on-site engineer to troubleshoot and repair the fault from the first-person view perspective and free their hands. This is not only improves maintenance efficiency, but also ensures safety. It also achieve the sharing and inheritance of expert resources and high cost of traveling on site. When encountering difficult situations, multiple technical experts can also be invited for consultation. Experts can provide real-time multi-party HD video guidance with the on-site engineer, whether on PC or smartphone, to jointly solve technical issues and reduce downtime losses.

In order to achieve the goal of intelligent transportation in Hualien and alleviate the crowds and traffic problems brought about by the opening of the entire Suhuakai line and the traffic problems in the city center, the Hualien County Government has developed a design that conforms to the local characteristics and constructs intersection numbers through the "Development and Construction Design of Intelligent Transportation System". Using smart technology to make traffic policies more accurate. Entrusted "Chunghwa Telecom Co., Ltd." to stage software and hardware in the "2018 Hualien Intelligent Traffic Integration Management System Construction Plan in Response to Su Hua Changing Vehicles", "2019 Hualien County Smart Traffic Management System Expansion Plan", The "109-Year Hualien County Smart Parking and Guidance System Construction Plan", "110-Year Hualien County Smart Road Network Management Integration and Traffic Corridor Improvement Plan" and other projects have been completed successively. There are five functions for overall optimization and refinement: "Cloud Smart Traffic Control", "Restructuring Time Signs", "Traffic Big Data Value-Added Application", "Signal History", and "Smart Parking"

Development of Cyber-physical system for Smart Farm： Digital management: Digital Data Collection System, AI Genetic Analysis Module, Big Data Module, and Virtual AI breeding Expert, Information Security Module. Genotyping and selection platform: Developing highly accurate genotyping and selection systems for screening dominant individuals. Optimization of breeding prediction system: Enhance breeding prediction systems through data analysis and prediction model to improve breeding efficiency and yield. Enhancing competitiveness: Enhance the competitiveness of Taiwan’s agriculture by improving breeding technologies and management practices of dominant individuals.

Prof. Ming-Yen Lin’s Team – A Prediction Model for Type 2 Diabetes Complications Our research group develops a decision-support prediction model for type 2 diabetes complications using data from over 163,000 Taiwanese patients. Integrating age, HbA1c, and other dynamic factors, the model estimates long-term risks of major complications and mortality, visualizes future trends, and supports personalized care planning to improve disease management and outcomes.