Prof. Ming-Chung Chou’s Team – Intelligent X-ray Imaging System Traditional X-ray imaging depends on experienced radiographers to balance image quality and radiation dose. Automatic exposure control may misjudge patients with poor positioning or metallic implants, increasing radiation by about 20%. This study develops an AI-based X-ray imaging system with non-contact body thickness measurement. By integrating patient height and weight, the system automatically determines optimal exposure parameters, ensuring stable image quality while reducing unnecessary radiation and cancer risk.

Empower your business across critical domains—operations, HR, legal, finance, customer service, recommendations, health education, and equipment management. By integrating Generative AI with advanced knowledge management, we transform how enterprises manage real-time monitoring, dynamic insights, intelligent Q&A, data visualization, text recognition, and content creation. Our solution reduces human error, eliminates redundant tasks, and streamlines complex processes—paving the way for true business process reengineering. Experience faster decisions, smarter workflows, and a future-ready enterprise.

EdgeLink-X is an AI-driven heterogeneous edge-network platform built to provide resilient, low-latency connectivity for intelligent transportation and railway environments. The system forms a multi-layer architecture that unifies field communications, sensing, video capture, and edge analytics into a reliable and adaptive communication framework. At the field level, IP110H and IP503H Lite IP radios deliver instant voice communication and group coordination for frontline personnel. Sensors and cameras are connected through the AG260 AIoT Gateway, while the AS710 Wi-Fi 7 indoor access point provides high-quality Wi-Fi coverage in stations, platforms, and passenger areas to enhance traveler connectivity. Long-range, time-synchronized backhaul is supported by the SP250 Series, ensuring stable, high-throughput wireless links across trackside and outdoor environments. At the core, the zMEC edge-computing platform performs real-time AI video analytics, abnormal-event detection, and rapid data distribution to minimize latency and support mission-critical responses. By integrating Wi-Fi, LTE, 5G, PTP wireless backhaul, and AIoT devices into a single cohesive system, EdgeLink-X enables applications such as slope monitoring, intersection intrusion detection, pantograph spark/wear monitoring, and onboard operational visibility—forming a robust foundation for next-generation safe and intelligent mobility.

To establish a civil participation mechanism to widely gather opinions from all sectors, the National Development Council has established the "Just Transition Commission." The committee follows a principle of equal representation between governmental agencies and civil society. Members serve a term of two years. The government agency representatives on the committee are deputy ministers from ministries responsible for the 12 key strategies of the 2050 net-zero transition and related issues of just transition. In addition, the members of the civil society include citizen groups focused on environmental, labor, and indigenous issues, as well as representatives from social enterprises and experts/scholars in the field of economic industries. The committee has four working groups: an academic group, a strategic review group, an issue identification group and an influence group. The public-private partnership will work together to promote a net-zero fair transition. Additionally, this year, multiple public consultation sessions are planned to gather current visions and expectations for a net-zero fair transition from all sectors, aiming to enhance public awareness of net-zero carbon emissions and fair transition.

InsAI: Beyond Traditional OCR. InsAI is an intelligent recognition system that allows AI to truly read and understand real-world documents. By utilizing GSS’s proprietary Computer Vision and patented multi-modal retrieval technologies, InsAI transforms document processing. We help enterprises eliminate repetitive manual entry and streamline verification, paving the way for paperless operations and ESG compliance.

Taiwan AI Cloud provides industry-specific AI application integration services, including custom LLM model fine-tuning, AI deployment planning, and AI training and inference platform development. Built on the Formosa Foundation Model (FFM) — an enterprise-grade large language model optimized for local languages and industries — or other high-performance open-source models, our solutions enable organizations to systematically integrate AI into real-world operations. Through expert consulting and tailored implementation, we help enterprises enhance operational efficiency, optimize customer experience, innovate business models, and build sustainable AI capabilities that drive long-term digital growth.

This project integrates cable TV systems, Civil IoT, and AI video recognition technology to build smart disaster prevention and site safety services. Centered on set-top boxes (STB) and intelligent sensing, the solution focuses on bridging the gap in real-time information and safety protection for elderly and rural populations. Through its wired network infrastructure, the system developed under this project is capable of delivering real-time disaster prevention information, including earthquakes, typhoons, and heavy rainfall alerts. In addition, AI-based recognition capabilities have been integrated into the system. Currently, the system has completed event recognition functions such as parcel placement and retrieval detection. It also performs analysis of human movement trajectories and abnormal group behavior detection. In the future, the system will be further expanded to identify dangerous situations such as violent behavior. Through this project, Taiwan Optical Platform (TOP) demonstrates the potential of integrating cable television networks with AI and IoT technologies to develop a platform for smart disaster prevention and public safety applications.

【Taipei Main Station Navigator APP】 Taipei Main Station covers four major railway systems: Taiwan Railway, Taiwan High Speed Rail, Taipei Metro and Taoyuan Metro. The complexity of the internal route has led Taipei Main Station to be dubbed the largest underground maze in Taiwan. Not only are outsiders prone to getting lost, but Taipeiers are not even aware of it. We launched Taipei Navi App to private the function of Indoor navigation, tasty food and shopping, intelligent parking, and push notification. It's easy for people to know where they are and find their destination 【Taipei Songshan Airport】 The Airport Terminal Building is 61,000 square meters. Managers take time to confirm position and execution status when assigning tasks and events. With this Staff Positioning and Dispatching System, managers can assign work. Employees see the location and content and can report the status of completion on the system. The manager can check whether the employee actually arrived at the given location.

In the evolving architecture of smart cities, AI-powered smart parking systems have transformed from standalone parking management tools into critical nodes within intelligent urban operations. By integrating AIoT sensing, image recognition, and cloud platforms, the system enables real-time parking occupancy monitoring, license plate recognition, and traffic flow prediction, enhancing traffic efficiency and optimizing road resource allocation. It connects people, vehicles, facilities, and payment processes into a unified ecosystem, streamlining circulation and improving user experience. By incorporating EV charging infrastructure, the platform supports green energy dispatch and low-carbon transformation. Acting as a data-driven hub, it interfaces with traffic signal systems and municipal platforms, forming a foundational infrastructure for cross-domain smart governance.

MIRDC’s continuously Rotating Wind Turbine UAV Inspection System can effectively inspect the working wind turbine without interference. It takes 5 minutes to complete the inspection of a single blade to effectively detect 4mm small cracks. The system will not lose power generation by turning off the wind turbine, further observes the actual movement status of running blade structure and pillars to grasp the defects beforehand.

The Sustainability Performance Management Platform assists enterprises in extending their management perspective from direct emissions to the entire value chain, ensuring the precise implementation of supplier sustainability performance management. The system features a comprehensive digital survey and data management platform, covering everything from questionnaire design, distribution, and response collection to multi-level approval and statistical analysis, enabling companies to integrate supply chain data with maximum efficiency. With flexible template design and year-over-year comparison tools, enterprises can track trends in key issues in real-time. The system supports diverse data entry methods and automated chart generation, while also offering seamless integration with sustainability reporting systems to enable automatic data updates. By leveraging this digital system, companies can establish a highly traceable data management process and significantly strengthen supply chain resilience. Core System Features: 1. Supplier and Stakeholder Performance Assessment: Digitally collect and audit various ESG indicators. 2. Automated Statistical Analysis and Comparison: Generate real-time visual reports to track annual performance trends. 3. Data Integration and Report Linking: Streamline data aggregation to accelerate the production of sustainability reports.

The Intelligent Building Management System (iBMS) is a large-scale and flexible industrial control platform. By integrating Internet of Things (IoT), Artificial Intelligence (AI), Building Information Modeling (BIM), Intelligent Video Surveillance (IVS), and Building Automation (BA) systems, iBMS enables Digital Twin technology to manage and operate building mechanical and electrical systems in a visualized manner. The five major systems it oversees include electrical systems, HVAC, fire protection, plumbing, and low-voltage systems. This system meets the goals of ensuring health, comfort, and safety, while also achieving energy savings and intelligent automation. Additionally, iBMS also can integrate with other control systems to manage relevant operations in different application domains, such as: iDCIM systems for data centers, Operations management systems for smart factories iBMS is widely applied in: Smart building, Data Centers, Hospitals, Commercial buildings, High-tech manufacturing plants, Smart campuses/parks