Under the theme “Economy Next,” the Ministry of Economic Affairs presents dual pavilions on AI and net zero, illustrating Taiwan’s vision for dual transformation. The Net Zero Pavilion showcases resilient green energy systems and low-carbon supply chains, while the Industries AI Pavilion highlights advanced technologies and smart applications that delivers concrete solutions across industries in hope of fostering collaboration opportunities with global partners.

EZESG by Trade-Van Information Services Co. helps enterprises systematically complete organizational greenhouse gas (GHG) inventories in accordance with ISO 14064-1, strengthening carbon management and enhancing transparency in information disclosure. The system enables rapid establishment of an emissions source database by integrating data from energy consumption, raw materials, and operational activities. Through AI-powered OCR, it automatically identifies information from utility bills such as fuel, water, and electricity. It also incorporates Google Maps mileage calculations and taxi carbon emission models to estimate emissions from transportation activities. With built-in intelligent calculation models, the platform automatically consolidates Scope 1, Scope 2, and Scope 3 emissions data, reducing manual errors while improving data consistency and reliability. The system also supports one-click generation of GHG inventory reports and supporting documentation, simplifying procedures and shortening preparation time. Through digitalization and intelligent management, it helps enterprises respond to international regulatory requirements and steadily progress toward net-zero emissions and sustainability goals.

The Track Safety Management System is primarily aimed at addressing safety concerns along the track. It provides real-time monitoring, statistics, and detection-triggered alerts for trackside environments including stations, level crossings, along the track, and slope areas. The goal of this management system is to establish early warning alerts and prevent accidents from causing damage. Through the intelligent AIOT recognition monitoring system, it detects and analyzes station pedestrian traffic, tracks pedestrians at level crossings, identifies passing vehicles and traffic flow, detects foreign objects at level crossings and activates alarms, monitors personnel lingering and debris along the track, conducts rockfall monitoring on slopes with a rain gauge, monitors the environmental conditions in equipment boxes, and oversees the operation status of level crossing equipment. The monitoring data and image information are transmitted to the management system platform for integrated management via fiber-optic networks, NBIOT, or mobile communication. Additionally, it provides central management personnel with real-time interpretation and remote control in case of anomalies.

PALF is committed to developing eco-friendly textile products by using recyclable, zero-carbon emission agricultural waste "Pineapple Leaf" to establish the first localized sustainable yarn and fabric pilot production line in Taiwan. We promote the recycling of waste materials to create a more environmentally friendly, sustainable textile and fashion industry.

This service focuses on energy development and subsurface structural research, providing comprehensive engineering planning from site assessment and well placement design to drilling execution and final well reporting. Through systematic preliminary analysis and engineering design, we assist clients in obtaining valuable subsurface data while ensuring construction safety, serving as a critical basis for subsequent development or evaluation. The service scope includes drilling path design, construction condition assessment, drilling process planning, and risk management, effectively reducing construction uncertainties and enhancing both operational efficiency and data reliability.

Z-COM has invested in heterogeneous network integration R&D for years. Through partnership with global leading Telco operators, we’ve accumulated abundant experience in telecom system integration with Wi-Fi- extended broadband network, to offload traffic from 3G/4G mobile networks as well as providing mobile network coverage with less cost. Over the years, Z-COM’s carrier grade solutions are used to deploy massive scale of Wi-Fi hotspots and various applications for smart city. The new Z-COM carrier-grade wireless network solution introduces Software Defined Network (SDN) architecture, with Edge Computing concepts for Artificial Intelligence of Things (AIoT) applications. The solution offers higher wireless bandwidth, separates control and data plane for edge computing, that provides customized products equipments and software with compatibility, stability, scalability, and security for mobile network operators. Z-COM solutions offer best cost/performance value, with rapid deployment and easy management tools that help telecom operators reduce capital investments and operating expenses, accelerate cost recovery and increase profits.

Smart Chiller control system integrated“Chiller”,“ECM Air Handling Unit”,“Direct Drive PM Cooling Tower”,“Variable Flow chilled Water Pump”and other equipment in satisfy operation and monitor power consumption in optimal power contract capacity. Different from traditional air conditioning system which would suspend operation upon occurrence of abnormality, TECO's system boasts active management "optimal energy conservation manage ment mode," capable of active alarming and adjustment, rather than response after occurrence of problem, thereby attaining the dual missions of "system energy conservation" and "automatic diagnosis."

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.

Acer ITS self-develop smart parking meter system provides vehicle detection, license plate recognition, auto-ticketing, multi-payment functions to achieve the goal of payment automation for roadside parking. It also provides instant parking space information so that drivers can see the parking availability through mobile APPs to avoid circling in the city that causing traffic jam and higher carbon emissions. It collects parking information through auto-ticketing system, and feeds in big data platform to produce accurate turnover rate and usage rate. These data are the base of policy making for parking authorities. Applications with automation, intellectualization and mobilization provide drivers with nice parking experiences, and enhance parking management performance for parking authorities. Let smart parking become new smart city indicator for satisfied people and high performance government.

Energy accounts for large portion of business cost, well 40~50% of it are rises from air conditioning. e-Formula offers an ideal solution for energy management through advance technology from Taiwan. We provide e-Form with big data 、AI and cloud technology, it's an energy dashboard for the client demonstrating current status of equipment and service, and a global energy consumption, improving power management equipment longevity and risk management for the managers. It safes energy from both directions by decreasing consumption and increasing efficiency.

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.

ITS traffic data collection has solved the laborious and time-consuming task of manually calculating traffic flow in the past. It aims to achieve the goals of smoother road conditions and reduced accidents through intelligent traffic diagnosis. By utilizing intelligent transportation systems, the system automatically tracks vehicles, identifies vehicle types, predicts trajectories, and transforms the data into useful information. This assists in real-time interpretation and improvement of traffic engineering. This system is particularly crucial in Taiwan, where over 60% of traffic accidents occur at intersections. Through big data analysis, identifying issues and formulating solutions is possible, thereby lowering accident risks. This approach proves more effective than simple advocacy and alerts.