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.

With 5G private network system integration provided by Wave-In Communication, Inventec is transforming its Taoyuan Factory into a 5G smart factory, creating highly intelligent and automated production lines with AI and IoT capabilities.

For road safety, traffic efficiency, and energy savings, we adopt V2X and 5G C-V2X advanced technology to develop smart transportation including iDVR fleet management, driving assistant, AI sensors, RSU, OBU, etc., optimizing the driving and traffic operation.

Taiwan Instrument Research Institute (TIRI) of the National Applied Research Laboratories , as a incorporated foundation , collaborates with outstanding domestic academic teams to jointly develop advanced microchips for air quality sensors. Our mission is to achieve real-time monitoring of air quality in daily life and provide accurate alerts and information to the public. Through the collaborative research and innovation of industry, government, academia, and research, the ultra-miniaturized design of the sensor system is not only the culmination of locally developed independent technology but also a dedication to public health. We can sensitively capture subtle changes in the air, providing real-time information on air quality conditions. Empowering you to understand your surrounding environment and take timely actions, our sensor ensures a breath of fresh air and a healthier lifestyle. We are committed to creating a world of air quality filled with wisdom and care.

The device incorporates cutting-edge Edge control technology and is compatible with various sensors. • Independent Operation The device can operate independently even when powered off or disconnected from the network, ensuring continuous operation and functionality. • Remote Firmware Update and Configuration It allows for remote updating of firmware and configuration settings over the network, enabling easy maintenance and optimization of the device. • Data Storage and Transmission The device is equipped with capabilities for storing and transmitting data, facilitating the collection and transfer of information as needed. • LED Indicators The device is equipped with LED indicators for power and communication status, providing visual feedback on its operational status. 1.Model No: AIOT-C01 Fog Detection Controller Application Scope: Mountain Roads, Railways, Highway, Airport, etc 2.Model No: AIOT-C02 Rainfall Detection Controller Application Scope: Mountainous Area Water Level and Rainfall.

QuickInn provides mobile entry solutions for business users to manage their visitors in events/promotions/spaces bringing down 70% cost on wire deployment and 80% energy Saving when eliminating plastic card usage and getting rid of mainframe PC from the very beginning.

The system can be connected to IoT devices in series, and the devices can be operated and monitored remotely. The corresponding data of the devices is available on the website to meet the living needs of tenants and landlords.

The Address GeoCoding Module (geoCoder) provided by RiChi Technology is designed to solve the address formalization and positioning. No matter how complex the address is, it can easily solve it with one click and comply with the nationally defined address format! geoCoder provides various data cleaning functions, including: house number normalization, comprehensive format standardization of input addresses, road settlement conversion, abbreviation processing, address missing and removal of redundant information and other services; the positioning function performs coordinate query for the input address, providing longitude and latitude or TWD97 two-dimensional zone coordinates; multiple numbers or floor address strings are split, and the module can systematically and effectively split and process them into standardized writing to ensure the accuracy and completeness of address data.

Leveraging on-site equipment, process steps, control settings, and product status, we enable abnormality detection, scheduling simulations, root cause analysis, troubleshooting, and actionable scheduling suggestions. Virtual measurement enhances MES data quality, boosting SPC alarm accuracy to 95%. By integrating MLOps and AutoML, we connect factory MES, SPC, WAT, and scheduling data to deliver precise abnormality predictions up to 8 hours in advance.

As the response to pandemic and epidemic prevention effort, ARBOR combined “Infrared Thermal Imager technology” with “high performance medical panel PC”, and Recognition AI, to create LK403, Portable temperature and mask detection station.

This project establishes a 5G private network in rural Tainan schools, introducing AR/VR gamified English teaching. Students engage in scenario-based games, simulating English conversations in virtual reality, fostering entertaining and interactive learning. The curriculum incorporates famous global landmarks and utilizes AR technology for checkpoint missions, enhancing student interest. Beyond English education, the initiative collaborates with the National Palace Museum, integrating AR/VR historical artifacts. Using 5G streaming, historical content is seamlessly integrated into campus teaching. The project not only enhances learning outcomes in rural junior high schools, reducing the urban-rural digital gap, but also has the potential for nationwide expansion. Through cross-disciplinary collaboration, it drives the development of both horizontal and vertical industry chains.

“Chia-E Smart Patrol Car” utilizes AI image recognition and mobile edge computing technology to automatically compare license plate recognition results with stolen vehicles’ blacklist in real-time. If a match is found, patrol officers will be notified immediately by voice warning, so that they can stop the vehicle for investigation. By implementing technology, “Chia-E Smart Patrol Car” can improve the efficiency of investigation, maintain public safety, and maximize the effectiveness of patrolling.