Multi-payment bus validator takes smart card, mobile payment for bus fare. The transaction data transfer through designated channel to the backend system, smart card issuers, mobile payment operators to perform clearance process. All the validators comply with operation standards and receive certification from smart card issuers, mobile payment operators and TTIA.

Focusing on developing and enhancing green competitiveness, we aim to provide three key ESG digital transformation solutions for traditional manufacturing industries: a carbon inventory system, machine predictive maintenance, and electrical safety monitoring. By integrating Taiwan's 5G networking industry, IoT-related sectors, and information technology companies, we are collaboratively developing a 5G smart manufacturing AI-enhanced energy efficiency platform. Using real-world case studies, we aim to initiate innovative vertical application model cases for 5G and AIoT industrial safety. With an open and collaborative technology platform, this initiative seeks to establish a representative example of 5G and AIoT industry integration and clustering in Taiwan

Acer ITS self-develop smart parking meter system provides vehicle detection, license plate recognition, auto-ticketing, multi-payment functions to achieve the goal of payment automation for roadside parking. It also provides instant parking space information so that drivers can see the parking availability through mobile APPs to avoid circling in the city that causing traffic jam and higher carbon emissions. It collects parking information through auto-ticketing system, and feeds in big data platform to produce accurate turnover rate and usage rate. These data are the base of policy making for parking authorities. Applications with automation, intellectualization and mobilization provide drivers with nice parking experiences, and enhance parking management performance for parking authorities. Let smart parking become new smart city indicator for satisfied people and high performance government.

The Ministry of Environment has promoted the deployment and application of the Internet of Things for empty product sensing since 2017, and has deployed approximately 10,000 sensors to make up for the deficiencies in time and spatial resolution of standard monitoring stations. Among them, in 2022, it expanded from the Taiwan island to Lienchiang County on the outlying Island. Its unique geographical location is more conducive to early warning of transboundary pollutants and reminds people to take precautions in advance.

iCue Smart Care Assistant iCue is more than a non-contact smart sensing mat—it’s a comprehensive intelligent care solution. -Smart Sensing Mat: Installed under any mattress, it continuously monitors physiological data like respiratory rate, heart rate, body movements, and bed exits without direct contact. -Real-Time Alerts: Detects critical events such as nighttime bed exits or prolonged immobility, instantly notifying caregivers to prevent falls and pressure ulcers. -AI-Driven Insights: Generates daily and weekly reports, analyzing health trends and providing data-driven care recommendations. -Professional Support: Offers expert nursing consultation to help users and institutions interpret data and optimize care plans. -Cross-Platform Integration: Sends real-time notifications to mobile and desktop devices, ensuring caregivers and family members stay informed anytime, anywhere.

Jia Keng Technology has developed a unique intelligent active compensation energy storage system aimed at behind-the-meter storage solutions. Through an energy management system, it performs real-time analysis of power supplied by Taiwan Power Company and the power load of the site. The system proactively compensates for voltage and frequency, enhancing power stability and safety while preventing the impact of voltage sags or frequency instability on production and equipment. Regarding asset management functions for the energy storage system, Jia Keng uses AI algorithms to optimize battery charge and discharge management. During time-of-use pricing transitions, the system not only effectively stores off-peak low-cost electricity for use during peak times to reduce power costs, but also effectively extends battery life by 35% and improves efficiency by 15%. The key feature of this service is the "integration of power and energy storage systems." In addition to choosing traditional "purchase" or "leasing" options, customers can also opt for Jia Keng's flexible business model, "pay as you use," which reduces decision-making risks for customers and aligns with the spirit of the ESCO service model.

AI智慧辦公室文件助手: 使用最先進的AI文件識別技術, 建立自動化文件處理系統, AI小幫手可替需求人員搜尋或自動生成所需要的文件。

TECO develop Air conditioners base on the core vision of ” Energy Saving , Emissions Reduction, Intelligent Operation, Automation” in order to provide total AIoT solutions. Our residential air condition series apply “Smart maintenance system” which could inspect operation status/ collect data /diagnose issues and provide appropriated troubleshooting suggestions proactively and precisely. The system utilizes expert system not only solve issues but also initiate a tailor-made service plan in a shorter time with less manpower.

VR environment that covers the terrain and seabed features of this world can be created easily in a short amount of time. Various VR environments and models including FBX models can be downloaded from the FORUM8 Web Server DB. The software supports the import/export of BIM data. Equipped with an ability to generate road alignments, cross sections, terrain, and the ability to position models and assign traffic and generate traffic movement within VR space; the software can help you give a real-time presentation for comparing design alternatives and stakeholder consultation as the Visual Options tools and presentation features will do all the tricks. As various types of high-level real-time simulation including driving simulation, daylight simulation, and traffic simulation are feasible, the software makes the lives of all engineers engaged in the work of design, development, and research easier.

The BSMX series of early warning modules for lithium battery thermal runaway, developed by Taiwan Intelligent Pollutant Sensing Co., Ltd., is a next-generation BMS upgrade solution that requires only simple installation to integrate with existing systems. The module is equipped with high-sensitivity sensors developed specifically for energy storage safety applications, with a rapid response time of as fast as three seconds. The module offers multiple signal output interfaces to choose from and features a proprietary smart algorithm that eliminates the need for calibration after installation. It is particularly suitable for energy storage systems that operate continuously for long periods and are difficult to maintain. A design-in service can provide ESS suppliers with the most suitable function integration without any interrupt.

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.

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