There are increasing demand for self-service and remote-control devices.Besides safety reason, it is also easier for customers to purchase tickets and obtain travel information, plus the added benefits of time saving and convenience. MiTAC’s Smart ticketing solution for tourism was implemented at “Hạ Long Bay” in Vietnam. Passengers can use self-service devices, such as the Ticket Vending Machines, kiosks and POS to purchase tickets, place orders, arrange trips and inquire for additional information. The operators can also utilize automated devices and information system to reduce human resources investment, strengthen operational efficiency, and improve service quality. In addition, the operators can utilize the data collected for big data analysis for precision marketing in the future.

Wonder Greener believes “straws” should naturally be reaped from soil! We plant “Lepironia articulata”, a kind of water grass, and turn which into 100% green drinking straws with our patented low-carbon process of production; meanwhile, promoting multiple ESG values. A NBS (Nature-based Solution) for sequestrating CO2 is a critical methodology on global carbon-net zero pathway, and currently proved the best practice as well. Growing Lepironia is a kind of “No-till farming”, which means we don’t plow on soil. Without tillage, the potential of soil carbon credits would be huge. We assess the carbon emission of every straw would confidently be “negative” with our low-carbon process of production. Besides throwing back to the farms, the wastes of farming and manufacturing grass straws, and even used straws, can be efficiently recycled to make “Lepironia-algae Tableware” with innovative algae technology. We try to combine “yellow carbon” from soil and “blue carbon” from oceans to create totally bio-degradable and recyclable green materials.

NCREE has developed a Hybrid earthquake early warning system (EEWS) by integrating on-site EEWS from NCREE and regional EEWS from Central Weather Administration (CWA). Within a 10 to 100-kilometer radius from the earthquake epicenter in the local region, this system can provide 3 to 15 seconds of warning time. To achieve effective alerts with the available warning time, the utilization of a Hybrid EEWS cloud platform is crucial. This platform facilitates the transmission of alerts and the affected administrative regions to various industries. Industries, in turn, leverage these alerts to develop warning systems and automated control devices tailored to meet the specific requirements of different environments. This approach aims to minimize secondary damages resulting from earthquakes, transforming EEWS beyond being notifications received Presidential Alert on mobile phones. Instead, it offers a multi-faceted alerting and disaster reduction application system tailored to different environmental settings.

With the NFC technology of the Internet of Things, the” Chia-E Patrol & Sign” APP was created by bringing together the nation’s first "Smart Patrol Box" and 5G police mobile device.” It is able to find patrol blind spots, high-risk hotspots, and key time zones for duty, and so on by collecting real-time patrol data, further integrated and analyzed within the big policing data. Moreover, the system can automatically plan the best patrol route, and precisely deploy police force to public security and traffic hotspots by using AI data modeling, developing decision-making models and providing decision-making suggested values for task planning. Meanwhile, the nation’s original real-time intelligence push notification service helps the patrol officers stay on top of the surrounding conditions of the patrol box and the duty priorities, in order to prevent cases of traffic and public security disturbances.

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.

Our energy management system can generate energy management data chart, display real-time 3D status display. Usage fields includes "Air conditioning system", "lighting control system", "charging pile management system", "energy storage management system", "power management system". It reduces the customer's risk of integrating different system interfaces and improve overall energy use Efficiency, the system regularly sends "Energy Verification Report", "System Efficiency Report", "Maintenance Notice" and other information to comply with the information required by the Energy Management Act, ISO14064-1, ISO50001, ISO14067 and other standards, reduce labor costs and consolidate data time, and can interface with traditional SCADA system information to upload to the cloud, solving the problem that traditional systems cannot be remotely monitored, allowing customers to get twice the result with half the effort on the path of ESG, energy conservation and carbon reduction.

TextileGPT is an AI platform specifically designed for the textile industry, combining TNet's historical expertise and professional knowledge to accelerate product launches, reduce development costs, and strengthen knowledge transfer. Built on the TNet knowledge base, it provides intelligent dialogue capabilities enriched with industry-specific knowledge to address various challenges. The platform supports processing multiple data formats, including PDF, PPT, DOC, XLS, and web content, and features a user-friendly interface for quick adoption. TextileGPT aims to tackle issues like talent gaps and difficulties in knowledge inheritance, driving innovation and efficiency to enhance competitiveness, making it a key enabler for the textile industry's future development.

The Smart Mobility Solution is best fit for 2 industries: (1) With the occurrence of service demand, the service provider take requests that are to fulfill in limited time. Company such as ride-sharing, food or grocery delivery, professional services(car washing, garbage recycling, house maintenance, roadside assistance, etc., (2) Are required to deliver multiple shipments by 2/4 wheelers to destination at the same time. Factors such as specified time, locations, travel intervals, oil consumption, travel distance, are to be considered. A logistic company is the target audience under the scenario. The Smart Mobility Solution takes account of all possible concerns that the 2 industries encounter daily. With its unique AI algorithm, ETA data, etc., From the moment when the consumer inputs the address, the routing, distribution, delivery, records, optimization, all progress is assisted by 2-5 API tools. During implementation, industries are accompanied by Google premium partner Master Concept. Industries are expecting 1. Enhance to consumers and drivers experience 2. Increase to delivery efficiency 3. Cost saving to manpower and vehicles 4. Achieve ESG goals.

A virtual power plant refers to the use of information and communication technology to integrate and regulate dispersed renewable energy sources, energy storage systems, power generation units, and adjustable electricity consumption. By aggregating small to medium-sized distributed resources to participate in power auxiliary service programs, it not only enhances the utilization of idle resources and generates additional revenue for operators but also contributes to the sustainable development of energy.

This solution integrates digital supply chain streaming and AI-driven scheduling to build an efficient and transparent production system. Core technologies include AI scheduling, digital twins, smart warehousing, and energy management, ensuring real-time data flow, precise decision-making, and improved production stability. Expected outcomes include a 20% increase in production efficiency, a 20% reduction in machine idle time, a 10% improvement in order fulfillment accuracy, and 10% shorter lead times. By implementing smart warehousing, inventory stagnation is reduced, material flow is optimized, and businesses gain a competitive edge in digital transformation and sustainability.

Vehicle Classification enables transportation authorities to automatically identify and classify vehicles according to their visual attributes. This technology finds widespread application in traffic management systems, toll collection, parking facilities, and security setups. FETCi leverages AI algorithms and machine learning methodologies to analyze video data collected through LiDAR technology. With an extensive database and repository, FETCi's AI AVC proficiently sorts vehicles into distinct categories, including cars, trucks, motorcycles, buses, and more. By integrating LiDAR technology with AI-powered image recognition, FETCi establishes a vehicle recognition system equipped with self-enhancement and deep learning capabilities.

The Administration for Digital Industries(ADI) is actively promoting the use of data from Civil IoT Taiwan and integrating it with other public and private sector data to develop data-driven applications and IoT solutions with commercial value. ADI assists businesses in securing international orders, achieving a total of NT$12.6 billion in revenue.