This project is deployed in a large-scale fish farming area in southern Taiwan, where ponds are widely distributed and geographically fragmented, creating challenges for long-distance network connectivity and real-time surveillance. The solution utilizes fiber optic links as the backbone to ensure stable long-range transmission across the site. EAP610-Outdoor wireless access points are deployed to extend network coverage through a mesh architecture, effectively reducing the need for repetitive cabling. For surveillance, the system integrates an NVR4032H with InSight S345 and InSight S345ZI bullet cameras, delivering stable and reliable video transmission. Combined with PoE switches, this solution establishes a flexible, efficient, and reliable network and intelligent surveillance infrastructure tailored for aquaculture management.

An acceleration platform that provides AI partners with comprehensive upgrades in technology, products, and markets. Since 2021, Taiwan AI Cloud has launched the “AIHPC Accelerator” to foster a collaborative AI ecosystem. The AIHPC Accelerator program is designed to support AI startups in matching with smart application scenarios and commercializing their products. By complementing the roles of third-party accelerators, incubators, and startup support centers, Taiwan AI Cloud provides a comprehensive business development platform for Taiwan’s AI startups. Within just one year, the program achieved outstanding results, signing partnerships with more than 60 startups.

SONOBA COMET is a paperless conference system using tablet computers. Simple, no complicated operation or preparation required. Convenient, one-person operation, all participants can be expressed simultaneously. Information security, delete the information after the meeting. SONOBA COMET” is a product that has been positively received and implemented by a wide range of customers in different industries and business categories, such as banks and brokerages, IT companies and music-related companies, and public institutions like universities and hospitals. As a communication tool, it is performing well not only in meetings but also in various other scenes such as presentations for operating activities, training and seminars, and telemedicine.

Over the past decade since its launch, the JW Eco-Technology brand system has executed over 1,000 projects worldwide, earning unanimous global acclaim. It delivers tailored solutions for unique environmental challenges, including pollution, urban ailments, flooding, water scarcity, water contamination, air pollution, urban heat islands, and sustainability issues—all core domains of JW Eco-Technology. From 2015 to 2025 (COP21-COP30), it was invited annually to UN Climate Conferences for 10 consecutive years, recognized as "key technology for improving global warming." Notably, in 2022, the UNFCCC Global Stocktake uniquely announced on its website: "JW Eco-Technology as a holistic solution for climate adaptation and mitigation." In 2023, it clinched the UN LivCom Awards for SDGs—the first and sole global winner. Proven by over 1,000 global cases, interdisciplinary research, and awards in hydrology, civil engineering, green energy, climate, environment, atmosphere, biology, microbiology, physics, chemistry, etc., JW Eco-Technology's "JW Eco-Smart Sponge City" stands as humanity's optimal solution to climate change.

Remote expert video collaboration solution uses AR smart glasses to transmit onsite situation to the remote technical experts with high-definition real-time video, and guide the on-site engineer to troubleshoot and repair the fault from the first-person view perspective and free their hands. This is not only improves maintenance efficiency, but also ensures safety. It also achieve the sharing and inheritance of expert resources and high cost of traveling on site. When encountering difficult situations, multiple technical experts can also be invited for consultation. Experts can provide real-time multi-party HD video guidance with the on-site engineer, whether on PC or smartphone, to jointly solve technical issues and reduce downtime losses.

Baseball enjoys widespread popularity in Taiwan, and our cutting-edge 5G live streaming technology elevates the sport to a new level. Through real-time 360-degree tracking, we present a three-dimensional strike zone, delivering an unprecedented viewing experience. This innovation not only enhances the enjoyment for spectators but also serves as a valuable tool for training. Coaches and sports science teams can leverage precise multi-angle recordings to analyze and optimize player movements, effectively contributing to enhanced athletic performance.

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.

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.

The EUP Fleet Management System integrates ESG management, providing visualized reports and big data analysis to accelerate communication between the supply chain and transporters, ensuring effective ESG management and achieving carbon reduction goals. Through AI big data analysis, it automatically provides green ratings and compares carbon emissions with industry peers, enhancing market competitiveness and brand image. Additionally, cloud-based, digital, and automated management enables enterprises to easily monitor fleet emissions and develop carbon reduction strategies.

In the evolving architecture of smart cities, AI-powered smart parking systems have transformed from standalone parking management tools into critical nodes within intelligent urban operations. By integrating AIoT sensing, image recognition, and cloud platforms, the system enables real-time parking occupancy monitoring, license plate recognition, and traffic flow prediction, enhancing traffic efficiency and optimizing road resource allocation. It connects people, vehicles, facilities, and payment processes into a unified ecosystem, streamlining circulation and improving user experience. By incorporating EV charging infrastructure, the platform supports green energy dispatch and low-carbon transformation. Acting as a data-driven hub, it interfaces with traffic signal systems and municipal platforms, forming a foundational infrastructure for cross-domain smart governance.

-)Data Collections -)Real-time Monitoring -)Decision Analysis -)Data Visualization Increase Capacity, Raise Efficiency, Cost Down