InsAI: Beyond Traditional OCR. InsAI is an intelligent recognition system that allows AI to truly read and understand real-world documents. By utilizing GSS’s proprietary Computer Vision and patented multi-modal retrieval technologies, InsAI transforms document processing. We help enterprises eliminate repetitive manual entry and streamline verification, paving the way for paperless operations and ESG compliance.

Detect Traffic Anomalies Quickly. Minimize Risk. Traffic risks arise suddenly and unpredictably, challenging traditional monitoring systems to detect them in real time. With advanced AI-powered video analytics and intelligent event detection, Ability Intelligent delivers real-time, automated identification of traffic anomalies—capabilities that exceed traditional monitoring—by instantly flagging vehicle stoppages, wrong-way driving, congestion, pedestrian intrusions, and other unexpected incidents, all accompanied by visual alerts for actionable intervention. The system proactively identifies abnormal conditions and potential risks, helping traffic authorities shorten response times, prevent incident escalation, and strengthen overall road and public space safety. Ability Intelligent empowers safer, resilient urban transportation with proactive technology.

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.

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.

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.

This solution integrates AI technologies with IoT sensing devices to support intelligent operations in public facilities and industrial environments. The AIoT monitoring and analytics platform collects real-time equipment and environmental data, enabling analysis, early warnings, and remote management. By transforming data into actionable insights, the solution enhances operational efficiency, system reliability, and data-driven decision-making for facility management.

"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.

Delivering fast-to-deploy, locally hosted high-performance computing and cloud platform services — empowering AI training and deployment, business application development, data storage and backup, as well as compute resource reselling. Deliver cost-effective GPU and CPU computing powercombined with an intuitive cloud platform, enabling rapid provisioning, flexible deployment, elastic scheduling, and seamless scaling. Powered by Taiwan AI Cloud’s optimized AI runtime environment, large-scale AI workloads are executed with speed and efficiency.

Carbon Star is a specialized greenhouse gas (GHG) inventory management platform developed by StarTrust Systems, offering enterprises extensive carbon management capabilities. The platform encompasses organizational greenhouse gas inventories (ISO 14064-1) and product carbon footprint inventories (ISO14067), featuring the most extensive functional modules to enable enterprises to effectively gather carbon emissions data throughout their operations. 1. The platform is equipped with calculation benchmarks for carbon emissions and the latest factor data, facilitating enterprises in promptly collecting and computing data. 2. It integrates comprehensive management functions, including approval workflows and reminders, to assist various departments within enterprises in effectively managing greenhouse gas emissions. 3. Departmental access is segregated to ensure confidentiality across departments, allowing cross-departmental retrieval and referencing of only designated data. This measure guarantees the confidentiality of information from both manufacturing facilities and product domains. 4. Carbon Star automatically generates reports and emission inventories swiftly, streamlining enterprise management and verification processes. 5. Data analysis results are presented through a dashboard interface, empowering enterprises to compare and analyze data efficiently.

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.

Hybrid work and temporary employment often lead to chaotic and decentralized attendance management. AIRA's Facial Recognition Solution simplifies personnel management. Without external hosting equipment, the airaTablet Plus integrates access control, attendance reports, and video streaming into a single device. It features the facial recognition system, airaFace, ensuring precise identification of faces within 1 second. Users can customize clock-in periods and export automatic attendance reports. The built-in multi-mode dashboard caters to various scenarios, such as attendance, occupancy and welcom dashboard. Moreover, the system seamlessly integrates with the central management system, airaManager, which can cnetralize attendance data from each office. The encrypted transmission enhances security, ensuring a comprehensive and secure solution for pesonnel management

A large number of commercial data are collected through object sensing technology, and the cloud-based visual interface and telecommunication operation surface data are used to assist enterprises to remotely manage the electricity consumption of buildings, manufacturers, business locations, and various branches in real time.