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.

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.

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.

Integrating RPA, Generative AI, Machine Learning, and Process Management technologies, we provide manufacturing solutions to address supply chain communication, timely business delivery responses, on-site scheduling optimization, order insertion issues, new employee training, and corporate administrative problem-solving.

Delta’s EV charging solution utilizes the self-developed DeltaGrid® EVM, an electric vehicle charging management system for smart charging, power allocation, and charging equipment management. To avoid exceeding the site’s power limit during simultaneous charging, which could result in fines or power outages, the depot adopted a smart charging management system to effectively address power overuse and charging allocation issues. Under limited power conditions, the system efficiently allocates charging power for the electric buses and provides flexibility for future fleet expansion. To address the challenges of charging commercial fleets, the system has dedicated features that were developed for electric buses and commercial fleet charging needs, including Vehicle Identification, Site Current Limitation, Real-Time Alerts, etc, effectively enhances charging efficiency, optimizes operational benefits for electric fleets, and successfully demonstrates the transformation to the electrification of transportation.

The Dragonwing IQ9 Series delivers industry leading AI performance, built in safety features, and design flexibility to meet the demands of advanced industrial workloads. Even in extreme environments, it provides high compute, power efficient processing for heavy, mission critical tasks. The Dragonwing IQ9 series delivers up to 100 TOPS of on-device AI performance, capable of running Llama2 13B models and generating up to 12 tokens per second. Its industrial-grade safety features and ECC memory ensure stable and secure operation in harsh environments ranging from −40°C to +115°C, providing strong reliability for demanding deployments. Designed with developers in mind, it supports multiple operating systems, including the Qualcomm® Linux® software stack and Ubuntu, offering a flexible and accessible development environment. The platform is well suited for smart cities, large-scale security monitoring, traffic management, and other mission-critical applications. *Qualcomm branded products are products of Qualcomm Technologies, Inc. and/or its subsidiaries. Qualcomm and Qualcomm Dragonwing are trademarks or registered trademarks of Qualcomm Incorporated.

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.

NETCenter is an integration and management application, which provides various management functions, like: fault, configuration, accounting, performance and security. All connections and network equipment are under control, you won’t disconnect any network connection, then figure out the problem. Our innovative features are: 1. No need to install a front-end application. No add-ons are need. Remotely manage via Web Browser. 2. Provides Auto-Discover and Topology and automatically generates an L2 Topology. 3. Supported Protocols: SNMP v2C/v3, Telnet, FTP, SMTP and ICMP. NETCenter manages all equipment that supports CLI (Command Line Interface). 4. Provides professional customized services to satisfy enterprise IT infrastructure management. Smooth and stable networks are affected by the rate of information exchange, also it’s an important symbol of an enterprise. Almost all enterprises use multiple vendor's equipment. In conclusion, NETCenter can reduce TCO and increase ROI.

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.

For Healthcare (Clarify Care Guide): Provides "Ubiquitous Support." acting as a 24/7 digital triage across Web, App, and Messaging platforms. It handles routine inquiries and symptom assessment, extending your medical team's reach. Our Goal: Let AI handle the repetitive complexity, so your professionals can focus on critical quality and patient care.

-) Prognostics and Health Management -) AIR & Expert Assist -) AIR Design Builder -) AIR Quality Check -) AIR APPs in Cloud

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.