【Smart Medical - Smart Cloud Rescue System】:Online pathology data helps emergency ambulance services and professional care in hospitals , it also break through geographical restrictions and share medical resources.

During the promotion of plastic life, we understand that only the concept of the circular economy can make the continuous reuse of resources. Therefore, we promoted the ”Plasticircular Project™” by using easily recyclable plastic as raw materials. Starting from the design of the product, the more we think about the end of the product, we are expecting to achieve the closed recycling model and system. All you have is what you want. In order to construct a service design for recycling packaging containers, to achieve a closed cycle of reuse and recycling of plastic packaging containers. We have the Project of the Plasticular and established a team to help with each step of the system.

A-MTK is IP cams manufacturer in Taiwan, and complete virtual fence solution with IP cams equipped with edge AI computing, edge alarm notification, and back-end NVR pop-up notify. A-MTK virtual fence solution is simple to set up, cost-effective, and can be applied to factory perimeter, campus perimeter, hazardous area protection.... etc. A-MTK virtual fence allows users to set up "Hand-drawn Shape Warning Zone", "Cross-line Detection", and "Personnel Loitering Detection" for different scenarios. No matter day or night, color or black and white, it can have the best personnel detection effect. After detecting the personnel, it can provide sound and light alarms at the IP cam edge-end. In the same time, the solution cooperates with the administrator's office to make remote alarms with A-MTK NVR software.

The rise of AI (Artificial Intelligence) and IoT (Internet of Things) in ICT technologies, has accelerated the development of many innovative applications in AIoT (Artificial Intelligence of Things), and that has completely revolutionized medical and healthcare industry’s existing operation process and business model. Our team of experts in ICT (Information and Communications Technology) has team up with the top medical industry partners in Taiwan across different industries, providing smart medical service with the latest AIOT applications. We aim to help hospitals and healthcare institutions to improve clinical care benefit and operation efficiency, while creating a more friendly, convenient, and comfortable medical environment to increase patient satisfaction. Chunghwa Telecom's smart healthcare solutions provide smart ward management system, smart vital signs station, smart broadcasting/ registering/ queuing information system, EPD electronic paper display application, robot solutions and smart building (such as communication, multiple payment, smart parking, energy saving, environment monitoring , access control and surveillance etc.), and other ICT application planning and construction.

This project uses the 阡陌(QianMo) System, which drawing the road profiles, markings, signs, and signals based on the road geography data as a universal base map, to integrate cross-domain digital applications. Besides, 阡陌(QianMo) System has developed an application on mobile phone, through this application, user can complete the case opening, drawing, conversation recording, and photo-taking operations on-site, and convert the accident cases into collision elements in accordance with time, vehicle type, direction, collision type, and number of casualties. On the other hands, when handling improvements for accident-prone intersections, 阡陌(QianMo) System can overlay the elements to implement the collision composition analysis serves as a scientific proof and visualization tool for researching traffic improvement measures and explaining accident risk hotspots. Besides, after the subsequent engineering improvements, user can provide revision of road geography data as the feedback. Through this mechanism, which can achieve a digital governance cycle. Finally, through 阡陌(QianMo) System , this project integrates cross-domain applications related to police administration, transportation bureau, and engineering industry to improve driving environments and prevent traffic accidents.

The application of digital twin technology in building smart cities is becoming increasingly clear, serving as a crucial engine for driving urban transformation. In the development of smart cities in recent years, citizens can view the growth and development of the entire city, including population growth, new construction, and other major activities, in a 3D format, gradually emphasizing the concept of a virtual city. Digital twin technology can simulate disaster scenarios, including weather events and traffic accidents, assisting disaster response personnel in rapidly understanding the situation and optimizing the efficiency of disaster response. In recent years, with the advancement of aerial photography, simulation technology, and computing resources, The National Science and Technology Center for Disaster Reduction has leveraged advanced technology to create a mountainous flood inundation model system. This system enhances disaster warning and impact analysis, providing a comprehensive view of vulnerable settlements. It utilizes dynamic models and virtual-real integration, presenting alert information and disaster impacts through visual elements, contributing to informed decision-making in disaster situations.

This exhibition is an atmospheric physical-chemical grid model for prediction of changes in air quality, utilizing data from the U.S. NCEP global weather forecast and regional air pollutant emissions. Local scientific investigation data has been used to adjust and calibrate the model and thereby largely improve the accuracy of the air quality forecast over Taiwan. The 3D display system enables us to understand the transmission processes of cross-border and local air pollution. The system is capable of simulating the changes in air quality over the next three days (72 hours) in Taiwan, with a temporal resolution of 1 hour and a spatial resolution of 3 km. The simulated data can be integrated with air quality data from the Civil IoT Taiwan, providing air quality forecasts every three hours (totaling 72 hours) for six metropolitan areas This system offers regulatory authorities up-to-date information on air quality trends in Taiwan, as well as critical data for formulating control strategies.

Robustie Solution Update, manage, schedule, and save multimedia content from professional digital signage servers and media players by connecting to the network. Various models are available for any project function and budget; choose the most suitable package for you. With advanced management software and handheld device application, you can manage and control large-scale digital signage projects and generate statistical reports faster than it takes to make a cup of coffee.

Traffic approach warning system is the combination of smart detectors and LED warning signs. The intersection is divided into detection lanes and warning lanes. Smart detectors are installed on the detection lanes. When a vehicle enters the detection area, the signal is transmitted to activate the LED signs on the warning lane to warn drivers to slow down in advance.

The Ministry of Economic Affairs, Department of Industrial Technology has commissioned the Industrial Technology Research Institute's Center for Smart Sensing and System Technology to develop a "Composite Long-Term Air Quality Sensor." This sensor is capable of simultaneously measuring particulate matter (PM2.5), ozone (O3), carbon monoxide (CO), volatile organic compounds (VOC), and other air quality monitoring parameters. Also, the Industrial Technology Research Institute (ITRI) to develop a "Composite Water Quality Sensing System." This system enables simultaneous measurement and detection of parameters such as Chemical Oxygen Demand (COD), Suspended Solid Concentration (SS), Copper Ion (Cu2+) concentration, conductivity, pH value, temperature, and more.

Carbon Star is a specialized greenhouse gas (GHG) inventory management platform developed by StarTrust Systems, offering enterprises extensive carbon management capabilities. The platform encompasses organizational greenhouse gas inventories (ISO 14064-1) and product carbon footprint inventories (ISO14067), featuring the most extensive functional modules to enable enterprises to effectively gather carbon emissions data throughout their operations. 1. The platform is equipped with calculation benchmarks for carbon emissions and the latest factor data, facilitating enterprises in promptly collecting and computing data. 2. It integrates comprehensive management functions, including approval workflows and reminders, to assist various departments within enterprises in effectively managing greenhouse gas emissions. 3. Departmental access is segregated to ensure confidentiality across departments, allowing cross-departmental retrieval and referencing of only designated data. This measure guarantees the confidentiality of information from both manufacturing facilities and product domains. 4. Carbon Star automatically generates reports and emission inventories swiftly, streamlining enterprise management and verification processes. 5. Data analysis results are presented through a dashboard interface, empowering enterprises to compare and analyze data efficiently.

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.