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.

eLAND specializes in intelligent data enriched with AI analysis, offering solutions through a Software as a Service (SaaS) model. Our product series are as listed below. Cloud Services, including OpView—the largest social listening platform offering business insights in Taiwan; PeopleView—describing the target market with AI while enhancing value of the customer database; and ECView, which monitors products in real-time across global e-commerce websites. For Intelligent Data Solutions, we tailor AI to diverse business needs. This includes AI Search for EC, the next-generation search engine and tagging system specifically designed for e-commerce, and AI Search for KM, which Integrates generative AI, search engine, and NLP technologies to deliver knowledge search and knowledge QA services. Within the Search Engine and NLP, our in-house technology excels in processing billions of unstructured data while maintaining exceptional efficiency, to fulfill customer's needs in digital era.

Prof. Chia-Hsin Chen’s Team – An Innovative AI-Powered Tongue Vibration Training System This project develops an AI-driven tongue vibration training system for dysphagia and obstructive sleep apnea. It combines a safe, adjustable tongue device, AI motion tracking with real-time biofeedback, EEG-based cognitive monitoring, and AR-based gamified training to deliver personalized, engaging, and data-driven rehabilitation.

The system developed by this project provides a smart solution for station including digital fence system, platform pedestrian flow analysis, animal tracking expelled system, track water situation analysis system and platform digital information signage. The platform comprehensively analyses the image of around the station, train coordinates, passenger entry and exit, and water depth etc. Which can be used for follow up review and improvement of abnormal events such as track intrusion, crowd congestion and road flooding to achieve optimal train operation configuration and class spacing control. And provide abnormal event warning and troubleshooting and passenger intelligence information services. After the integration of multiple subsystem through the IOC platform, the system will automatically alert an alarm to the traffic control center and announce the train near the area to remind the driver to pay attention to the situation and enhance the safety of the train and the people or cars in the area when the detection system alarms.

Jobdone's "Construction & Manufacturing" module is specifically designed for contractors specializing in system furniture, precast engineering, steel structures, and fencing. Addressing the characteristics of **"in-factory processing and on-site assembly"**, it provides a powerful digital dispatch center to coordinate personnel, equipment, materials, and vehicle dispatch. Through digital work order management, businesses can precisely control every step from shipment to each stage of construction, significantly improving delivery efficiency. Regarding net-zero solutions, this module reduces carbon emissions from redundant vehicle dispatches through precise resource scheduling and replaces paper processing and acceptance forms with digital forms. Combined with phased completion inspections, it effectively reduces material waste caused by construction errors, assisting subcontractors in practicing a circular economy from processing to assembly, and achieving the carbon reduction transformation goals in smart city construction.

StarTrust System boasts a proficient team of consulting experts, each holding certifications in ISO 14064-1, ISO14067, ISO 50001, ISO 14001, SBTi, GRI Standard, and other relevant standards. We offer comprehensive guidance services encompassing greenhouse gas inventories (ISO 14064-1, GHG Protocol), carbon footprint assessments (ISO 14067), and advisory support for international initiatives such as CDP and SBTi. Additionally, we provide consultancy expertise in ESG report preparation, energy management, carbon neutral, and carbon reduction strategies. To ensure data integrity, our consulting team at StarTrust System adopts systematic management practices. We meticulously organize activity documents, regulations, calculation parameters, and other pertinent data, ensuring timely updates to adhere to the latest regulations and calculation methodologies. Our approach mitigates complexities and minimizes the risk of errors in enterprise reporting operations. Our services include: 1. Comprehensive guidance on ISO 14064-1, GHG Protocol, and related assessments. 2. Expert support for ISO 14067 product carbon footprint assessments. 3. Advisory services for implementing ISO 50001 energy management systems. 4. Analysis of carbon emission data reports. 5. Assistance with international initiatives such as CDP and SBTi. 6. Professional preparation of ESG sustainability reports.

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.

Taiwan AI Cloud AI Compute Foundry solution provides one-stop AI infrastructure services. Assist governments, enterprises, and the global GPU market in driving the development of sovereign AI. Empower enterprises to build customized AI compute centers with their own AI infrastructure, data governance, and model operation environments. We provide complete AIHPC deployment, integration, and maintenance services, supporting private, public, and hybrid cloud architectures.

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.

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.

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.