The AgriGaia Subsurface Irrigation System is an innovative irrigation technology designed for modern "climate-smart agriculture," significantly improving water resource utilization and reducing farmers' labor intensity. Utilizing a modular design, the AgriGaia Subsurface Irrigation System not only lowers maintenance costs but also makes the initial installation more affordable. The system integrates AI and IoT technologies, achieving a perfect combination of efficient water delivery and precise irrigation control. • Innovative irrigation technology saving 70% of water usage and reducing farmers' labor hours by 85%. • Modular design ensures low installation costs and easy maintenance. • Integration of AI and IoT technologies for precise and efficient irrigation. • Provides effective solutions to challenges posed by hot climates.

K430 is the new addition to ARBOR’s rugged handheld lineup, this Android based handheld device has keypad with numeric keys, built-in 1D/2D barcode scanner, and is equipped with a large 4850mAh battery, that will easily last for the entire working shift, suitable for warehousing, inventory, delivery and more.

LiftMind is a non-invasive AIoT elevator add-on system that enables rapid upgrades to smart functionality without modifying existing elevator control systems. The system leverages advanced external sensors and AI technology to deliver features such as passenger flow monitoring, emergency incident alerts, user behavior analysis, elevator operation optimization, and enhanced, user-friendly riding experiences. Its open architecture seamlessly integrates with Building Management Systems (BMS) and other IoT devices, significantly improving elevator management efficiency and user satisfaction. LiftMind supports a wide range of elevator brands and models, offering flexible adaptability to various application scenarios, making it the ideal solution for smart building upgrades.

Civil IoT Taiwan is part of the government’s Forward-looking Infrastructure Development Program under the Digital Construction initiative. With the collaborative efforts of the National Science Council, Ministry of Environment, Ministry of Economic Affairs, Ministry of Agriculture, Ministry of Transportation, Ministry of the Interior, Ministry of Digital Affairs, and Academia Sinica, the project is jointly executed across departments, prioritizing four key areas: air quality, water resources, earthquakes, and disaster prevention and response. By leveraging artificial intelligence and IoT technologies, various smart living services are developed to assist the government and the public in jointly addressing the challenges brought by environmental changes. By combining the innovative power of industry, academia, and research, the project aims to develop the IoT industry ecosystem and export solutions internationally.

The Administration for Digital Industries(ADI) is actively promoting the use of data from Civil IoT Taiwan and integrating it with other public and private sector data to develop data-driven applications and IoT solutions with commercial value. ADI assists businesses in securing international orders, achieving a total of NT$12.6 billion in revenue.

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.

The Central Weather Administration (CWA) is the government agency responsible for earthquake monitoring and reporting in Taiwan. In order to reduce fatalities and property losses caused by earthquakes, a high-density real-time seismic network and the advanced earthquake early warning (EEW) system have been implemented and in operation. Currently, the CWA EEW system can issue the warning message in about 10 seconds after a strong earthquake occurring in or very near Taiwan. Starting from 2021, in order to further enhance the benefit of EEW to the practical earthquake hazard mitigation, the CWA has begun to develop the customized urban EEW system. By means of introducing the on-site earthquake early warning methods, and developing the artificial intelligence models. The systems, particularly for the big urban shallow earthquake, aim to further shorten the time of EEW to 7 seconds. That means it can give warning to the areas about 25 km away from the epicenter, and more people could be alerted before the destructive shaking.

Acer ITS self-develop smart parking meter system provides vehicle detection, license plate recognition, auto-ticketing, multi-payment functions to achieve the goal of payment automation for roadside parking. It also provides instant parking space information so that drivers can see the parking availability through mobile APPs to avoid circling in the city that causing traffic jam and higher carbon emissions. It collects parking information through auto-ticketing system, and feeds in big data platform to produce accurate turnover rate and usage rate. These data are the base of policy making for parking authorities. Applications with automation, intellectualization and mobilization provide drivers with nice parking experiences, and enhance parking management performance for parking authorities. Let smart parking become new smart city indicator for satisfied people and high performance government.

AI Image Recognition (Intelligent Storage): Install surveillance cameras in the warehouse campus to accelerate the identification speed of AI Intelligent Image Analysis System through 5G network, and assist the management of the enterprise campus. AR Remote Equipment Maintenance: Use a 5G network to enable field workers to communicate with remote experts through AR smart glasses and simultaneously initiate multi-party video collaboration. Light A.I. Virtual Guard: Replace traditional human monitoring with AI cameras, connect to the cloud in 5G for real-time image recognition, and achieve real-time alerts via monitoring platforms and mobile app. AGV/AMR applications: Use 5G wireless connectivity technology to move cargo to designated picking stations and communicate with other equipment in the field to improve efficiency and reduce labor costs.

Millilab provides non-invasive and contactless vital sign detection solutions. These solutions monitor a subject's heart rate and respiration rate while ensuring privacy. The results are visualized in real-time through a GUI (Graphical User Interface). Applications include smart home appliances, intruder detection, sleep quality analysis, and more.

LiftConex is an elevator control solution specifically designed for smart robots, offering fast, reliable communication and seamless integration. Whether for logistics delivery robots or cleaning robots, LiftConex enables autonomous interaction with elevators, helping robots efficiently complete inter-floor tasks. The system supports cross-brand and multi-model elevators, enabling compatibility with robots through various communication protocols. Enhanced with AI capabilities, LiftConex can monitor site conditions, such as detecting the number of passengers inside the elevator and reporting elevator floor status, optimizing the robot’s elevator usage process while adapting to complex environmental changes. Additionally, LiftConex enables dynamic scheduling and optimization in multi-elevator scenarios, making it suitable for commercial buildings, healthcare facilities, and smart warehouses across diverse application environments.

Provide EOC at all levels to disaster management, notification and response, task dispatch, evacuation and shelter, resource scheduling, search and rescue, analysis Statistics, etc. after a disaster occur. Strengthen the collaborative response and dispatch capabilities of central and local governments in large-scale disasters. Minimize the damages caused by disasters. Disaster prevention and relief data are presented in visual charts, showing the latest disaster situation in the disaster area, and can include a variety of warning messages, disaster information, monitoring information, disaster response information and other graphics layers. The graphical interface decision-making dashboard can display important commands Decision-making auxiliary information is provided to commanders at all levels for reference, and then they can issue disaster relief response instructions according to different situations, strengthen the effective use and management of resources, and increase disaster relief energy.