Feature •Automatic Gain Control (AGC). •Backlight Compensation. •Automatic White Balance. •Wide Dynamic Range (WDR) function with 120dB at 30 FPS. •Night noise suppression function. •Nighttime shooting with automatic aperture adjustment. •Stable image quality during low-light shooting at night under stable external light conditions, ensuring no flicker or color rolling, and clear nighttime images. Specifications •Uses a CMOS 1/3” Image Sensor. •MAX Resolutions：2MP (1920×1080 pixels)，D1 (640x480 pixels) •Maximum Frame Rate：30 FPS @1920×1080，30 FPS @640x480 •Focal Length：2MP lens ： 2.8-12mm±5%，D1 lens ： Fixed •Minimum Illumination：Color： Below 0.06 Lux，Black：Below 0.02 Lux.

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.

In order to achieve the goal of intelligent transportation in Hualien and alleviate the crowds and traffic problems brought about by the opening of the entire Suhuakai line and the traffic problems in the city center, the Hualien County Government has developed a design that conforms to the local characteristics and constructs intersection numbers through the "Development and Construction Design of Intelligent Transportation System". Using smart technology to make traffic policies more accurate. Entrusted "Chunghwa Telecom Co., Ltd." to stage software and hardware in the "2018 Hualien Intelligent Traffic Integration Management System Construction Plan in Response to Su Hua Changing Vehicles", "2019 Hualien County Smart Traffic Management System Expansion Plan", The "109-Year Hualien County Smart Parking and Guidance System Construction Plan", "110-Year Hualien County Smart Road Network Management Integration and Traffic Corridor Improvement Plan" and other projects have been completed successively. There are five functions for overall optimization and refinement: "Cloud Smart Traffic Control", "Restructuring Time Signs", "Traffic Big Data Value-Added Application", "Signal History", and "Smart Parking"

The Taipei Vision Pavilion, themed "AI-Driven · Future Taipei," showcases Taipei's transformation into a "Safe City," "Sports City," and "Future City." By leveraging cutting-edge technologies such as artificial intelligence, big data, and Internet of Things, the pavilion highlights various smart city applications, including smart transportation, technological disaster prevention, AI-driven healthcare, and smart education. We sincerely invite you to join us and experience firsthand how AI is shaping the future of Taipei, setting a new benchmark for smart cities!

The Sustainability Performance Management Platform assists enterprises in extending their management perspective from direct emissions to the entire value chain, ensuring the precise implementation of supplier sustainability performance management. The system features a comprehensive digital survey and data management platform, covering everything from questionnaire design, distribution, and response collection to multi-level approval and statistical analysis, enabling companies to integrate supply chain data with maximum efficiency. With flexible template design and year-over-year comparison tools, enterprises can track trends in key issues in real-time. The system supports diverse data entry methods and automated chart generation, while also offering seamless integration with sustainability reporting systems to enable automatic data updates. By leveraging this digital system, companies can establish a highly traceable data management process and significantly strengthen supply chain resilience. Core System Features: 1. Supplier and Stakeholder Performance Assessment: Digitally collect and audit various ESG indicators. 2. Automated Statistical Analysis and Comparison: Generate real-time visual reports to track annual performance trends. 3. Data Integration and Report Linking: Streamline data aggregation to accelerate the production of sustainability reports.

1.Integrate smart water meters, wireless communication interfaces, and online management system to supply a comprehensive solution. 2.Suitable for management of water supply in cities and water consumption in areas like schools, and shopping malls, etc. 3.Real-time monitoring: Integrating GIS information, the system can help users to seize instant water data. 4.Data Analysis: Integrating comparison of water consumption in multiple durations and water balance application to improve leakage and decrease Non Revenue Water(NRW). 5.Abnormal Alarm: With configurable setting of upper and lower limits for water consumption, the system will send a warning message to users when the amount exceeds the acceptable range. 6.Individual Billing: For shopping malls and dorm rooms, the solution can assist managers to independently calculate consumption amount for each vender and household, making billing fair and reasonable.

Knowledge management solution receives another level! Integrating Generative AI, Search Engine, and NLP technologies, AI Search for KM produces precise and customized responses, offering users a better experience in knowledge search and QA services. We integrate Generative AI and intelligent Search Engine for knowledge management, assisting in the digital transformation of enterprises and enhancing productivity. Solving pain points encountered by technicians and aligning with user application needs.

Through matchmaking of public and private forests, enterprises can acquire forest-related data through hosting mechanisms. This includes metrics such as survival rate, tree height, carbon sequestration, and corresponding SDGs (Sustainable Development Goals) indicators. Leveraging deep learning and image processing technology, CoCoTree transforms trees and forest landscapes into data, providing customers with highly accurate forest information. This includes metrics such as carbon emissions, tree growth status, and changes in the ecosystem.

Criminal and street violence cases will affect and cause panic to citizens. In order to diminish street violence cases, reducing the time to solve these cases, protecting citizens’ lives and properties, and allow citizens to live without fear, the Kaohsiung City Police Department (KCPD) built the “3D Street Violence Early Warning, AI Intelligence Collection and Integration Platform” (hereinafter called “the Platform”). The platform utilizes the Internet of Things (IoT) to combine AI image recognition and sound sensing technologies for cross-domain big data analyses. KCPD established cross-platform data interfacing and integration, mainly through “data integration” and “network analyses” to collect with the municipal government’s transportation bureaus and social bureaus; and import existing data from the KCPD data platforms. The Platform will, through web service API, (a) retrieve data built by information systems, (b) conduct big data analysis, aggregate applicable intelligence data and present it in the form of dynamic information, (c) Integrate all information and display it as maps and topologies, improve case handling efficiency. According to KCPD employees’ query, they can adjust factor weights and relationships. Analyze the results based on rational mathematical models and professional case-handling concepts, so that intelligence analysis goes beyond the limitations of platform developers and allows criminal police to maximize their capabilities.

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.

Due to the terrain of Taiwan, how to save water resources become one of the main topics that has attracted the public’s attention. Through the following water facilities, the public could get real-time query of water information. In the future, water alarms will be provided for the public to prevent water disaster. At the same time, it also makes water resources management more intelligent, which can not only save resources but also effectively control them.

Integrated production management system covering 4M1E. Features real-time data collection, digital Kanban visualization, and full traceability. Enables paperless operations and complete process transparency. 1. Real-time Monitoring: Connects equipment signals to display WIP, utilization rates, and yield data instantly. 2. Traceability: Records comprehensive production lot numbers and process parameters for quality auditing. 3. Smart Scheduling: Optimizes production plans based on capacity constraints and order requirements.