The Irrigation Agency has designated the Zhudong Irrigation Area in Hsinchu as a demonstration site for the construction of a smart irrigation system. This system integrates hydrological sensing components, IoT transmission, and remote gate control technology. Key control points along the irrigation channels have been equipped with water level sensors, remote gate control systems, and surveillance cameras, incorporating cost-effective, low-power, and highly weather-resistant sensing technologies. Irrigation managers can utilize water level sensors to accurately monitor changes in water levels along the irrigation channels. Coupled with real-time imaging, they can remotely control the opening and closing of water gates, optimizing water distribution management and reducing water loss during transportation. This approach not only enhances irrigation efficiency but also minimizes the time and labor costs associated with on-site operations, increasing flexibility in personnel allocation. In response to the growing frequency of extreme weather events due to climate change, the Irrigation Agency is employing smart irrigation systems to enhance the overall allocation of agricultural water resources, strengthen disaster response capabilities, and provide critical data for informed decision-making.

Taichung City has deployed 1,220 air quality sensors, utilizing IoT and AI learning, along with a geographic information system to visually present real-time sensor monitoring data.By leveraging big data analysis, pollution hotspots and peak pollution periods are identified to assist environmental agencies in smart law enforcement. Additionally, cross-department collaboration is implemented for environmental governance, employing intelligent technology management for air quality control. The integration of unmanned aerial vehicles (UAVs) further enhances pollutant sampling efficiency.

Integrating RPA, Generative AI, Machine Learning, and Process Management technologies, we provide manufacturing solutions to address supply chain communication, timely business delivery responses, on-site scheduling optimization, order insertion issues, new employee training, and corporate administrative problem-solving.

DA-TUN CABLE TV leverages its advantages in fiber optic infrastructure to assist the digital transformation of Wu Fong Golf Course into Taiwan's first 5G smart golf course. This project integrates several innovative technology applications, including drone inspection services, MR batting assistance, environmental maintenance with unmanned lawn mowers, and health and safety monitoring with wearable devices. By utilizing the enhanced mobile broadband, ultra-reliable and low latency communications, and massive machine type communications features of the 5G private network, an outdoor 5G private network verification field is established. It also serves as the critical transmission foundation for the real-time work order management system, addressing labor shortages and management issues commonly faced by traditional golf courses, while enhancing operational efficiency, safety, and user experience at the golf course.

Smart G4O Quick Map Platform Technical Features • Web GIS Studio WYSIWYG(No code/Low code) interface for accelerated design workflow. • Seamless 2D/3D Immersive Digital Twin applications. • Integrated Multi-Service Support Compatible with OGC, ArcGIS, and MapGuide spatial services. • Advanced GIS Layers Built-in layer settings and searching mechanism for autonomous management. • Component Expandability Supports AR, AI, and other application modules to enhance functionality and application scenarios. • Interactive Map Dashboard Real-time synchronization of IoT data with map areas, suitable for dashboards. • RWD+PWA Design Mobile-first approach with smart tables ensuring high readability across devices. Supports cross-platform access and offline spatial data and map.

This project uses the 阡陌(QianMo) System, which drawing the road profiles, markings, signs, and signals based on the road geography data as a universal base map, to integrate cross-domain digital applications. Besides, 阡陌(QianMo) System has developed an application on mobile phone, through this application, user can complete the case opening, drawing, conversation recording, and photo-taking operations on-site, and convert the accident cases into collision elements in accordance with time, vehicle type, direction, collision type, and number of casualties. On the other hands, when handling improvements for accident-prone intersections, 阡陌(QianMo) System can overlay the elements to implement the collision composition analysis serves as a scientific proof and visualization tool for researching traffic improvement measures and explaining accident risk hotspots. Besides, after the subsequent engineering improvements, user can provide revision of road geography data as the feedback. Through this mechanism, which can achieve a digital governance cycle. Finally, through 阡陌(QianMo) System , this project integrates cross-domain applications related to police administration, transportation bureau, and engineering industry to improve driving environments and prevent traffic accidents.

The Smart Mobility Solution is best fit for 2 industries: (1) With the occurrence of service demand, the service provider take requests that are to fulfill in limited time. Company such as ride-sharing, food or grocery delivery, professional services(car washing, garbage recycling, house maintenance, roadside assistance, etc., (2) Are required to deliver multiple shipments by 2/4 wheelers to destination at the same time. Factors such as specified time, locations, travel intervals, oil consumption, travel distance, are to be considered. A logistic company is the target audience under the scenario. The Smart Mobility Solution takes account of all possible concerns that the 2 industries encounter daily. With its unique AI algorithm, ETA data, etc., From the moment when the consumer inputs the address, the routing, distribution, delivery, records, optimization, all progress is assisted by 2-5 API tools. During implementation, industries are accompanied by Google premium partner Master Concept. Industries are expecting 1. Enhance to consumers and drivers experience 2. Increase to delivery efficiency 3. Cost saving to manpower and vehicles 4. Achieve ESG goals.

Integrated management platform, monitoring of real-time status in city and optimization of planning and operation with 3D digital twin model and data interface. On top of that, we have integrated with BriefCam Video Analytics Platform and advanced facial recognition system Corsight. BriefCam offers a robust portfolio of critical video analytics capabilities, fully integrated for video metadata search, alerting, and visualization. Corsight is an advanced facial recognition system that provides industry-leading accuracy in crowds and challenging environments. By applying the platform for various areas in smart cities such as smart building, smart factory, smart data center, and energy consumption, the users can gain an efficient integrated monitoring and management environment, intuitive monitoring based on 3D digital twin, and fast and effective response to events. It is an optimized solution for command and control centers in order to control every situation and manage operation centrally. Safety & Prevention of Accident • Detection of Aging • Failure of Infrastructure To Create a New Business Model • Management of City Resources and Core KPIs To Maintain Order in City • Public Transportation • Traffic • Parking Management ESG & Cost Control • Smart Energy Operation and Sustainability

ARBOR’s smart medical wristband efficiently improves body temperature monitoring to tolerance within ± 0.1°C. With MediaTek’s IoT platform integrated, the wristband provides health condition information to be uploaded to synchronized with smartphones and the regional epidemic prevention system in real time so that patients’ vital signs can be monitored instantly and precisely. Collect the data on disease carriers and its environment, it can analyze patients’ medical and health information, and send the information to the patients and medical professionals. The public can also then receive the warning for diseases or epidemics.

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.

"Data is your superpower" – GoEdge.ai products simplify tedious document handling and process automation, transforming scattered information into AI-accessible knowledge. With the Bilocation Pro system, you can effortlessly build a dedicated corporate knowledge base, integrating internal documents, audit standards, material compliance requirements, and quotation logic. Every piece of data becomes a driving force to boost efficiency and accuracy.

Most cold chain logistics vehicles currently use engine-driven compressors to power refrigeration units. This increases engine wear and fuel consumption, especially during idling when unloading. With global warming and stricter carbon reduction policies, retrofitting fuel-based cold chain vehicles has become urgent to reduce emissions and fuel costs. Our solution provides an independent power system that allows refrigeration/freezing units to operate without engine idling. It uses solar panels for supplemental energy and high-performance, safe LiFePO₄ batteries to ensure stable power. This setup reduces fuel use and lowers carbon emissions during stops. The system also offers emergency power support and features remote monitoring for real-time management and quick troubleshooting. Additionally, it is fully compatible with electric logistics vehicles, requiring no redesign. This makes it a sustainable, green solution that meets future low-carbon logistics needs.