"EUP Fleet Management System" can easily manage the core needs of vehicle dynamics, task progress, emergency response, and utilize AI to analyze driving behavior, fuel consumption, and effectively control costs. In addition, EUP provides comprehensive safety driving checks, tracks driver driving habits and physiological monitoring, significantly improving driving safety, and assisting companies in building a safe, efficient, and low-carbon transportation fleet.

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.

ESGP (Enterprise Sustainability Governance Platform): This platform aids businesses in conducting automated carbon footprinting, utilizes AI technology to generate sustainability reports, effectively manage ESG information, and produce various reports tailored for different stakeholders.

In the era of automation and digital transformation, the challenge for managers is no longer just hardware installation, but how to integrate fragmented subsystems into a connected network with a “brain.” The SOYAL WEB PLC (AR-401-PLC-1616R) was created precisely for this purpose as a cross-domain integration core. It breaks through the limitations of traditional PLCs, with a built-in web management interface and powerful dual communication channels (CH1 / CH2), enabling simultaneous coverage of both “identity recognition” and “physical facility monitoring.” With full support for the Modbus TCP protocol, on-site data can seamlessly connect to cloud platforms or SCADA central monitoring systems, making remote control and data analysis easily accessible.

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.

The Taichung Local Tax Bureau has launched the "Local Tax AI Anywhere Door," a 24/7 intelligent service platform powered by AI and Natural Language Processing (NLP). By integrating local, national, and cross-agency data, the system utilizes Deep Learning (BERT) and a specialized tax knowledge base to provide precise, multi-turn conversational consultations. The platform also features online applications, tax simulations, e-payments, and live text/video support, drastically reducing processing time and costs for citizens. To date, it has served over 440,000 cases with 99% accuracy and over 90% satisfaction, effectively lowering transportation-related carbon emissions and demonstrating the power of human-centric digital governance.

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.

This solution, named "Mission Critical Network," is designed to provide enterprises, rescue teams, defense and security organizations, and more with intelligent applications utilizing 5G private networks, mobile satellite communication, drones, and other technologies. It addresses challenges such as remote inspections, equipment patrols, major disaster relief, and national security needs. With its rapid and efficient deployment capabilities and high mobility, the solution is capable of offering a stable, high-speed, and secure private network in situations where communication stability is severely compromised due to difficulties in reaching locations, numerous devices, extreme disasters, or tense regional conditions. This ensures the secure and reliable transmission of critical information.

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.

Extreme rainfall events have increased the frequency of flooding, creating an urgent need for timely and reliable monitoring of urban drainage systems. The Smart Water Monitoring solution deploys water-level sensors and communication devices within stormwater drainage networks to ensure continuous data transmission. Through a centralized platform with real-time visual indicators, authorities can quickly identify abnormal conditions. This solution strengthens urban disaster resilience, reduces manual inspections, and improves overall operational efficiency.

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.

Vitals ESP, developed by Vitals Information, is an enterprise knowledge collaboration platform designed for intuitive use and efficient knowledge management, facilitating cross-departmental information sharing and innovation. Powered by AI, it surpasses traditional keyword search limitations, supports natural language queries, and generates precise summaries. With Retrieval-Augmented Generation (RAG) technology, it minimizes hallucination risks in large language models (LLMs) while providing citations to ensure reliability. To meet enterprise knowledge control needs, it offers data source configuration and access control mechanisms, safeguarding sensitive information and restricting content generation within authorized scopes. Recognized with multiple Taiwan Excellence Awards and international certifications, Vitals ESP is trusted by businesses worldwide.