The Autonomous AI Surveillance Drone is a major innovation in drone technology, combining multirotor and fixed-wing capabilities. Utilizing white noise principles to enhance lift and efficiency, it enables high-speed flight and wide-area coverage, making it ideal for disaster response, border patrol, and other critical missions. Its core AI algorithm ensures reliability through real-time error detection. If anomalies are detected, the drone activates a safety mode, automatically returning or landing to minimize risks and maintain mission continuity. The flight control system integrates AI chips and edge AI technology, enhancing processing speed while reducing energy consumption for extended, efficient operation. These advancements enable stable autonomous flight even in complex environments.

Self-developed wireless low-power high-capacity communication protocol, suitable for medical IoT devices that pursue high battery life and low latency, and can connect 2,000 devices

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.

Civil IoT Taiwan is part of the government’s Forward-looking Infrastructure Development Program under the Digital Infrastructure category. With the collective effort of the National Science and Technology Council (NSTC), the Ministry of Transportation and Communications (MOTC), the Ministry of Economic Affairs (MOEA), the Ministry of the Interior (MOI), the Ministry of Environment (MOENV), the Ministry of Agriculture (MOA), the Ministry of Digital Affairs (MODA) and the Academia Sinica, the project aims to address the core needs of the public by prioritizing four key mission areas, namely air quality, earthquake, water resources, and disaster prevention and response. By leveraging AI and IoT technologies, the project strives to deliver well-rounded, smart living services to facilitate the government and the people to respond to the challenges in an ever-changing environment.

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.

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.

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.

With our fiber sDAS, Wave-In effectively reduce mobile signal dead spots caused by insufficient base station coverage, buildings or electromagnetic signal interference. Due to the pandemic, Taiwanese Engineers weren’t able to assist with on-site installation and coverage testing, to solve this problem and improve efficiency, Wave-In utilized Mixed Reality for collaboration and remote assistance.

ITS traffic data collection has solved the laborious and time-consuming task of manually calculating traffic flow in the past. It aims to achieve the goals of smoother road conditions and reduced accidents through intelligent traffic diagnosis. By utilizing intelligent transportation systems, the system automatically tracks vehicles, identifies vehicle types, predicts trajectories, and transforms the data into useful information. This assists in real-time interpretation and improvement of traffic engineering. This system is particularly crucial in Taiwan, where over 60% of traffic accidents occur at intersections. Through big data analysis, identifying issues and formulating solutions is possible, thereby lowering accident risks. This approach proves more effective than simple advocacy and alerts.

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.

Knowledge management solution receives another level! Integrating Generative AI, Search Engine, and NLP technologies, AI Search for KM produces precise and customized responses, offering users a better experience in knowledge search and QA services. We integrate Generative AI and intelligent Search Engine for knowledge management, assisting in the digital transformation of enterprises and enhancing productivity. Solving pain points encountered by technicians and aligning with user application needs.

1) Automatic Notification System 1. Consolidate the IOT info from various sensors, as well as history of user behaviors 2. Big Data Analytics & AI-enabled recommendation engine: Send delivery notice or abnormal alert 3. Push mobile APP message to User and Operator 2) Electronic Ordering System (Customized) 1. Planed delivery schedule service, user confirmed the delivery time, system automatically plans routing and deliveryman 2. Delivery schedule: Push individual mobile APP message to each deliveryman 3) Cylinder Management System (Customized) 1. Cylinder barcode APP scanning, Deliveryman scan the barcode and upload to cloud system 2. Automatic notification mechanism for expired cylinder 3. Data Analytics & Statistical Report 4) Safety Reporting System 1. LPG safety sensors: Including gas detector, Solenoid Valve, pressure switch and UVIR Flame Detector 2. IOT-BOX showoff Solenoid Valve and reporting 3. Push mobile APP message to User and Operator for emergency response 5) Cloud ERP System (Customized) 1. Modular management system: Accounting, Administrative, Financial, Procurement, Human Resource, inventory, Customer Service and sales management 2. Data collection, Analytics & Statistical Report