Across urban and industrial environments, public facilities, critical assets, and infrastructure systems are often highly complex and geographically dispersed. Even minor abnormalities, if not identified and addressed in time, can lead to safety risks and operational disruptions. The Smart Mobile Inspection System is designed to address these challenges, enabling governments and enterprises to establish forward-looking digital inspection and maintenance management capabilities. The system integrates mobile devices, sensor data, and visual information, leveraging real-time AI analysis and anomaly detection to transform potential risks into predictable, traceable, and actionable management tasks. From anomaly alerts and intelligent task assignment to on-site reporting and final verification, the platform seamlessly connects every stage of the inspection workflow, delivering a fully digital, end-to-end inspection and maintenance management solution.

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.

In the wave of Smart City 4.0 and ESG, Jobdone helps businesses move towards net-zero construction. This solution provides a comprehensive PMIS system, completely replacing traditional paper-based operations through the full digitization of construction logs, daily supervision reports, and material inspection tests, achieving ultimate paperless office operations. Through precise data management, developers can effectively reduce material waste and waste generation caused by construction errors, reducing hidden carbon emissions at the source. Jobdone digitizes complex project permissions and processes, not only improving efficiency but also transforming every piece of construction data into carbon reduction achievements, becoming the most resilient net-zero solution in urban construction.

With 5G private network system integration provided by Wave-In Communication, Inventec is transforming its Taoyuan Factory into a 5G smart factory, creating highly intelligent and automated production lines with AI and IoT capabilities.

Smart parking EV charger combines smart parking and charge service to provide total solution for roadside and off street parking. Integrates with license plate recognition system, it not only issue parking ticket, but also reduce occupation of fossil fuel vehicle and prolong parking with parking space barrier or other solutions. With smart card, the drivers do not require membership for charge and parking service.

CarbonClean Energy’s CO₂ electrolysis equipment E-Oak utilizes proprietary electrochemical conversion technology to directly transform carbon dioxide into high-value chemicals such as carbon monoxide, ethanol, and ethylene. This enables waste-gas reutilization while creating additional economic value. Unlike thermochemical carbon utilization processes that require high temperature, high pressure, and hydrogen input, E-Oak operates under ambient temperature and pressure. It only requires carbon dioxide and water to drive the conversion reaction, providing enhanced operational safety. In addition, E-Oak synchronizes operational data with the cloud, allowing users to remotely monitor equipment performance. Its automatic equipment diagnostic reporting function further facilitates smarter carbon management.

Leveraging system development technology and combining it with environmental engineering consulting expertise, EGIT provides comprehensive and convenient climate-change adaptation support systems for various entities, including government agencies, financial institutions, universities, and private organizations. The system encompasses features such as GHG inventory, climate change risk alerts, and asset depreciation assessment. Our expertise assists organizations in addressing climate risks.

Powered by AI, this platform provides businesses with compliance management, risk intelligence analysis, and data-driven sustainable supply chain resilience, enabling them to effectively manage their supply chains.

Dr. Hung-Lung Lin’s Team – An Auxiliary Assessment System for Coronary Heart Disease Identification In response to population aging and the younger onset of coronary heart disease (CHD), this study develops an AI-based auxiliary CHD screening system integrated into a mobile app. Grounded in traditional Chinese medicine tongue–heart theory, the system analyzes sublingual vascular images using reflection removal, image segmentation, and a multi-head attention deep learning model. Users can obtain accurate, reproducible screening results and health recommendations within 7–20 seconds using only a smartphone, enabling convenient and cost-effective preliminary CHD assessment.

-)Mainframe monitoring system, maximally supporting one million spots in real time. -)Smart loading balanbe for AOS -)Remote backup for AOS -)Adjudge amount of AOS as required, based on flexible structure. -)Central security management.

Overview: This solution integrates traditional access control with blockchain technology to manage entry permissions via distributed ledger technology (DLT). Unlike traditional centralized databases, our system effectively prevents unauthorized data tampering and provides a superior level of identity verification. Core Highlights: Decentralized Permission Management: Access rights are stored on the blockchain, eliminating "single point of failure" risks and preventing unauthorized internal database alterations. Hardware-Based Authentication: Utilizing Blockchain technology, the system verifies digital identities through private key signing, offering unparalleled anti-counterfeiting capabilities. Immutable Access Logs: Every entry and exit record is time-stamped and encrypted on the blockchain, ensuring a transparent and traceable audit trail for corporate security. Seamless Integration: Ideal for corporate offices, research labs, and high-security server rooms, supporting mobile NFC or smart card interaction.

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.