Nearly one-third of the population in Yunlin County are first-tier industrial workers, mainly agricultural planting and fishery breeding. Through the inventory of various key program modules of scientific and technological agriculture and through service and product design, the six-tier digital system has been completed. It has been effectively improving the first-tier Industrial productivity and filling the gap in production instability, and receiving a solution for the lack of labor and the approval of the National Development Council Plan. This will also make Yunlin a place where cases of digital transformation and creation blooming. This service is introduced into multiple towns and villages in Yunlin County and 350 jobs have been created and about 320 million production value have been increased.The project won the 2022 “Smart City Innovation Application Awards".

Be klear Fruit and Vegetable Wash Made from natural cassava rhizome (root) Key Benefits: • Effectively absorbs chemicals and accelerates the breakdown of chemical residues on fruits and vegetables until eliminated • Inhibits the growth of bacteria, fungi, and microorganisms • Restores freshness to fruits and vegetables • Extends shelf life of produce for over 7 days Quality Assurance: • Research-backed by Mahidol University and certified laboratories • Manufactured under GHP & HACCP standards

In 2020, commercial 5G network has come into our lives. Taiwan’s fixed network, Taiwan Mobile Co., Ltd and Taiwan Win TV Media CO., Ltd. launched a 5G smart sports application at the Xinzhuang Baseball Stadium. We use the 5G network to provide the characteristics of Enhanced Mobile Broadband, Massive Machine Type Communications, and Ultra-reliable and Low Latency Communications, and together with local partners in Taiwan to generate a 5G smart application solution ecosystem. This project focuses on the interactive management of fans, and uses many innovative technologies for demonstration, including the key video uses MEC and 5G, integrates 3D modeling animation and collects live light and shadow, provides dynamic and static image playback, high-quality real-time 4K panoramic photography, providing live stream of sports events, AR virtual opening display, giving fans a different visual experience, highly immersive virtual baseball games bring real-life experience, 3D Holographic projection technology is used to interact with virtual player images for pitching and playing games. Finally, it is also matched with the stadium's 3D depth technology and dynamic people counting analytics technology to provide security control requirements for the stadium. The player’s training platform uses sports technology to detect player swing speed, elevation angle, or distance is provided to the coach for immediate adjustment and improvement.

RiChitech has pioneered integrating generative AI models with GIS drawing technology, developing the generative smart map drawing module—geoAI Maker. This module is designed for users with many spatial description documents and graphic information but cannot identify locations and create maps. geoAI Maker can automatically recognize text and images, parse various types of spatial descriptions (such as addresses, landmarks, and range information), and further convert the content into GIS spatial coordinates, automatically generating vector maps. This process fully leverages the powerful capabilities of generative AI, allowing users to immediately utilize advanced analysis and visualization displays, helping various industries solve and accelerate the processing of spatial data.

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.

With the rapid growth of electric vehicles (EVs) in Taiwan, the demand for charging infrastructure is increasing. However, most developments focus on high-power DC fast charging systems, which face significant challenges. Complicated feeder application procedures and imbalances in urban power grids make it difficult to deploy medium and large-scale charging stations. While AC chargers (up to 22kW) are easier to install, they fail to meet the need for fast and efficient charging. To address these challenges, GREAT introduces the "Charging Silk Road" solution. This innovative system combines advanced energy storage systems (ESS) with fast charging equipment to enable independent power supply and reduce reliance on the public grid. By integrating renewable energy sources such as solar and wind power, the system maximizes energy efficiency and sustainability. Additionally, the solution features Vehicle-to-Grid (V2G) capability, allowing stored energy to be fed back to the grid during peak demand or emergencies, supporting grid stability. Through a distributed, multi-site deployment model based on independent microgrids, GREAT’s Charging Silk Road creates a flexible, resilient, and efficient green charging network, accelerating the transition to net-zero carbon emissions.

The award-winning service application: 【Smart Campus - Smart Library, Healthcare Management System】to realize the independent management of school library and health care, it also greatly reduces the load on the schools’ administration, achieve the goal of sharing library and healthcare resources between teachers and students, through the collection and analysis of the big data in the background system, it will be more accurate for students’ recording values, AI predictive models can also help the govermant authorities the effectively assess and make the timely decisions, so far, all schools have been deployed and put into operation, benefiting about 25,000 teachers and students from 125 schools, the system is also launched simultaneously in all the Digital Opportunity Center (DOC), implement community cultural construction and connection; In future, we will continue to improve our services as a core: friendship between teachers and students, feelings between parents".

By leveraging AI digital twin models, we predict KPI performance to support decision-making for backup machine selection, enabling energy savings and operational efficiency. Explainable AI is used to analyze the parameters influencing KPI, revealing that air compressor efficiency is strongly correlated with its shaft bearings, highlighting the importance of predictive maintenance for these components. Additionally, an intuitive dashboard visualizes the relationship between demand and supply data, facilitating real-time decision-making and responsiveness. With the integration of LLM Agents, users can communicate seamlessly with digital twins through natural language, enhancing usability and interaction efficiency.

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.

The Civil IoT data service platform collected and stored environmental sensor data in four key areas: earthquake, water resources, air quality, and disaster prevention, and provides real-time data service using the OGC SensorThings API that conforms to the international data modeling standards for value-added services through a unified data modeling framework. In order to solve the problem of insufficient communication in remote areas, Band20 frequency band is utilized to build a backbone network core service for IoT application, which provides remote areas with the use of Band20 frequency band as a network communication method for IoT data transmission, and expands the scope of IoT deployment in remote areas.

The BSMX series of early warning modules for lithium battery thermal runaway, developed by Taiwan Intelligent Pollutant Sensing Co., Ltd., is a next-generation BMS upgrade solution that requires only simple installation to integrate with existing systems. The module is equipped with high-sensitivity sensors developed specifically for energy storage safety applications, with a rapid response time of as fast as three seconds. The module offers multiple signal output interfaces to choose from and features a proprietary smart algorithm that eliminates the need for calibration after installation. It is particularly suitable for energy storage systems that operate continuously for long periods and are difficult to maintain. E-bike version has a significant improvement in power consumption.

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.