FET has been investing in the development of IoT applications for a long time and assisting Taoyuan City to become the first city in Taiwan which adopts large-scale intelligent lighting system and LED street lamps. FET has also integrated 5G and AI technology to launch the "5G Smart Pole" solution, providing a variety of smart application services and accelerating the transformation of Smart City! Features * Smart pole can combine Digital Signage, IP camera, high efficiency street lamp, Roadside Unit, 5G Small Cell and EV charger * Base on 5G smart pole alliance standards

Smart Pole is the key infrastructure delivery element for the building of a Smart City. It’s one of the trends in the world as well. It provides lighting, sensing, video surveillance, digital display and more. Chunghwa Telecom smart pole platform provides smart management tools and graphical display interface to make everything easy to understand. To make our city living better and safer, Smart Pole from Chunghwa Telecom is the first step, and the most important step to take on.

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.

-) Prognostics and Health Management -) AIR & Expert Assist -) AIR Design Builder -) AIR Quality Check -) AIR APPs in Cloud

By applying multiple disaster data on CIoT, including disaster warning and notification, rainfall, earthquake, regional drainage data, etc., collected from various public sectors, alongside with the on-site environment monitoring data, the data is verified and utilized by ThinkTron to develop the comprehensive All-Hazard Emergency Data Platform for the emergency response centers of some municipal fire departments in Taiwan. This not just enables the digital transformation but also boosts the digital governance. In addition, this GIS+IoT+AI integrated application is extended to smart industrial park management, helping corporate clients on achieving ESG goals accordingly by sustainable operation.

StarTrust System boasts a proficient team of consulting experts, each holding certifications in ISO 14064-1, ISO14067, ISO 50001, ISO 14001, SBTi, GRI Standard, and other relevant standards. We offer comprehensive guidance services encompassing greenhouse gas inventories (ISO 14064-1, GHG Protocol), carbon footprint assessments (ISO 14067), and advisory support for international initiatives such as CDP and SBTi. Additionally, we provide consultancy expertise in ESG report preparation, energy management, carbon neutral, and carbon reduction strategies. To ensure data integrity, our consulting team at StarTrust System adopts systematic management practices. We meticulously organize activity documents, regulations, calculation parameters, and other pertinent data, ensuring timely updates to adhere to the latest regulations and calculation methodologies. Our approach mitigates complexities and minimizes the risk of errors in enterprise reporting operations. Our services include: 1. Comprehensive guidance on ISO 14064-1, GHG Protocol, and related assessments. 2. Expert support for ISO 14067 product carbon footprint assessments. 3. Advisory services for implementing ISO 50001 energy management systems. 4. Analysis of carbon emission data reports. 5. Assistance with international initiatives such as CDP and SBTi. 6. Professional preparation of ESG sustainability reports.

Chunghwa Telecom Smart retail provides general retail membership marketing services,payment integration platforms,smart terminal equipment and data analysis services, integrates retail industry knowledge with big data,and helps owners improve operational efficiency.

In Taiwan, religious activities create tens of billions of business opportunities every year, and up to 200,000 metric tons of joss paper are burned every year, generating 300,000 metric tons of carbon emissions, leaving a large amount of joss paper ashes. In the past, they were randomly discarded, causing environmental pollution. Now Jinjing solves the joss paper ashes problem, gives the ashes innovative value, and achieves a circular economy. This project takes “LIUQIU”, which has the highest density of temples in Taiwan, as the starting point. we work hand in hand with local temples to promote environmental protection and cultural inheritance. We aim to become promoters of religion, environmental protection, and local culture, and create cultural and creative products that integrate religion, beauty, and practicality.

【Taipei Main Station Navigator APP】 Taipei Main Station covers four major railway systems: Taiwan Railway, Taiwan High Speed Rail, Taipei Metro and Taoyuan Metro. The complexity of the internal route has led Taipei Main Station to be dubbed the largest underground maze in Taiwan. Not only are outsiders prone to getting lost, but Taipeiers are not even aware of it. We launched Taipei Navi App to private the function of Indoor navigation, tasty food and shopping, intelligent parking, and push notification. It's easy for people to know where they are and find their destination 【Taipei Songshan Airport】 The Airport Terminal Building is 61,000 square meters. Managers take time to confirm position and execution status when assigning tasks and events. With this Staff Positioning and Dispatching System, managers can assign work. Employees see the location and content and can report the status of completion on the system. The manager can check whether the employee actually arrived at the given location.

• Features: With integrated AI-based image recognition, ultra-wideband (UWB) wireless positioning systems, warehouse management systems, and cloud platform services, the solution features automatically, real-time, and intelligent benefits to assist enterprises to achieve smart logistics and digital transformation with the enhancement of management efficiency and energy sustainability. • Functions: The solution includes AI-based image storage location identification, dynamic vehicle dispatching, automatic route planning, and display of available storage space. • Benefits: Higher management efficiency: Increases the inventory management efficiency by reducing the warehouse order pick up time by 12% on average. Energy sustainability: The system is estimated to save more than 6000 kg of annual carbon emissions for a single warehouse. Environmental benefits: Reduce 12% Warehouse order pick-up time, as well as an estimated annual carbon emission reduction of 6000 kg for a single warehouse.

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.

Currently, the prognosis of critically ill patients in the intensive care unit (ICU) is often assessed using the APACHE or SOFA scoring systems to predict mortality rates. However, these systems have been in use for over 20 years, and the data they are based on is outdated. Today, clinical data is more abundant and precise, and advancements in machine analysis capabilities have made traditional scoring systems insufficient for meeting the demands of accurate predictions and personalized medicine. To address this, our team has developed a survival prediction device for critically ill patients. Using an AI algorithm model, it utilizes clinical data such as physiological, laboratory, and examination results to predict the patient's survival rates for the next 30, 60, and 90 days, providing a more accurate reference for prognosis assessment and medical resource allocation.