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 “MiAIOT x 5G Railway Safety Management System was developed based on MiTAC’s in house AIoT platform-“MiAIoT”, and will assist the digital transformation of Taiwan's rail industry in the future, including cloud-based train operating data exchange, real-time train warning system, AI equipment abnormality prediction, and feeding all these crucial information to a situation “war room”.

The light rail transit (LRT) system could improve capacity of mass transit. However, most of the accidents occurred because road user run a red light, which affected LRT passenger rights. ž Using lidar/radar to detect the collision event may occurred. (reference the signal phase) ž Notify LRT driver the predicted event by C-V2X V2N solution. ž Outdoor N79 5G private network.

Weigh in Motion is becoming widely adopted by many cities around the world to manage the access of heavy goods vehicles. Highway authorities are also using WiM as a tool to charge tolls by vehicles' weights and further prevent overweight vehicles to enter certain road sections. FETC International adopts pre-selection model and three gantry structure and deploys WiM sensors and equipment to collect vehicle data and then transmit data to computerized platform for weight management and send alerts to enforcement if a vehicle doesn't comply weight limits. ​

This service can avoid children and elders being lost. Users merely have to bring the device with them, through the sensor installed at the service area, family members can immediately receive users’ instant position through exclusive website, LINE or App. 【Real-time Positioning】 The caregiver can dynamically query and know about the real-time location and the path data for each care receiver. 【Guarding Area】 The caregiver can set different areas as guarding areas, and they will be notified if any care receiver enters or leaves these areas.

“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.

1.TATUNG has been working on developing electricity revenue meters for nearly 60 years. 2.TATUNG meters obtained ANSI,IEC,MID,JIS and DLMS/COSEM certifications. 3.TATUNG is the Taiwan-leading vendor of smart meters and the only AMI system provider in Taiwan.

FET has its own AI development team and long-term experiences in cooperation with various county and city governments. We launch one-stop customized solutions for traffic management with AI license plate recognition technology. FET AI Traffic Management provides flexible programs according to application scenarios, effectively reduces violations/accidents and enhances traffic safety. Features * Intelligent traffic management systems powered by AI, machine learning, and computer vision * Offering serval scenarios such as running a red light, unsafe lane changes, trucks prohibited and pedestrian signals

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.

Smart Traffic Control System: Traffic Congestion Improvement Project, AI Image Recognition and Management System

SMANEX provides reliable industrial communication products and integrated solutions, specializing in machine-to-machine (M2M) communication and Internet of Things (IoT) applications. Our solutions cover green energy, smart grid, smart buildings, environmental monitoring, oil & gas, and industrial automation. With a focus on enhancing productivity and supporting ESG goals, we strive to create a more sustainable and responsible future. Key Benefits: Reliable Industrial Communication Solutions. Seamless IoT Integration. Empowering Key Industries. Edge Computing for Real-Time Data Processing. Smartization for Intelligent Operations.

As solar generation applications continue to evolve, ensuring stable equipment operation and maximizing generation efficiency have been a main concern for owners. The platform integrates AI-driven O&M technology with precise data analysis to provide comprehensive equipment monitoring, real-time anomaly detection, and intelligent maintenance recommendations. This reduces operational costs and significantly enhances overall power generation efficiency.