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.

-)Mainframe monitoring system, maximally supporting one million spots in real time. -)Smart loading balanbe for AOS -)Remote backup for AOS -)Adjudge amount of AOS as required, based on flexible structure. -)Central security management.

1. Integrating data of water quality and water consumption, the online system will automatically conduct continuous data monitoring, and can be applied for both clean water and sewage water measurement. 2. Real-time monitoring: Seize real-time water information to maintain the stability of water quality and instantly react when abnormal condition is detected, dramatically increasing management efficiency. 3. Smart Dosing Scenario: Integrating automatic dosing equipments with upper and lower alarm settings to ensure dynamic stability of water quality and decrease labor cost. 4. Data Analysis: Apply schedule planning to build up the trend of historical changes and to develop the situation management model. 5. Compliance with the regulations: Complete the full-time management mode, in compliance with the regulations of the competent authority and environmental protection standards. 6. The water quality sensor (specific model) is automatically cleaned without additional consumables and can be cleaned frequently.

Fire notification + Emergency notification video device Taiwan Secom Technology Group launched a combination of 119 fire notification device and emergency notification image system, integrated anti-robbery, disaster prevention,and video, through real – timeimage monitoring and recording the scene, to grasp abnormal conditions; 24-hour control service center Line, monitor the signal for abnormality at any time ; if there is any abnormal information, it is immediately transmitted to the 119 and 110 service centers to reduce disaster expansion; the communication host has automatic detection function, and the control service center immediately dispatches personnel to overhaul when there is a failure; a test button , At any time to check whether the system is normal, and automatically fax back to the test status.

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.

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.

3. High-end line: full system is 307 or 316 stainless steel chassis. Model No.: AH6676D (316) - Successful Case: Installed at the perimeter of Taipower Plant, an offshore area. - Sony Starvis™ sensor with 2MP, 5MP resolution. - Different angle lens are available. IR LED range is up to 40 meter.

Powered by AI, this platform provides businesses with compliance management, risk intelligence analysis, and data-driven sustainable supply chain resilience, enabling them to effectively manage their supply chains.

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.

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.

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.

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.