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.

For road safety, traffic efficiency, and energy savings, we adopt V2X and 5G C-V2X advanced technology to develop smart transportation including iDVR fleet management, driving assistant, AI sensors, RSU, OBU, etc., optimizing the driving and traffic operation.

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.

PD470 is industrial-grade Android handheld device. The rugged handheld enables 1.5m drop resistance and IP67 sealing level rate. It has built-in barcode scanners and a physical trigger button. This mobile computing device features multiple worldwide communication modes and has a 4000mAh high-capacity battery. PD470 weighs 243g only. It is slim, rugged, and explosion proof certified, making PD470 suitable for inspection in petrochemical plants, equipment, and construction areas.

The Taipei Vision Pavilion, themed "AI-Driven · Future Taipei," showcases Taipei's transformation into a "Safe City," "Sports City," and "Future City." By leveraging cutting-edge technologies such as artificial intelligence, big data, and Internet of Things, the pavilion highlights various smart city applications, including smart transportation, technological disaster prevention, AI-driven healthcare, and smart education. We sincerely invite you to join us and experience firsthand how AI is shaping the future of Taipei, setting a new benchmark for smart cities!

Huijia Health's nFOPT® non-invasive optical fiber physiological monitoring technology and new generative AI smart care system provide 24-hour safety and health management solutions for all ages from infants to the elderly. nFOPT® technology utilizes the total reflection principle of optical fiber data transmission, has no electromagnetic wave interference, and has high sensitivity and high precision physiological sensing capabilities. Combined with the generative AI system, it can actively and intelligently monitor various physiological indicators, including respiration, heart rate, pulse, sleep status, cough frequency, blood pressure, etc., and can be applied to smart cushions (such as clothing, pillows, mattresses, cushions), Smart assistive devices, smart care systems, smart driving and other scenarios.

In recent years, the number of motor vehicle noise cases has increased, and it has been a concern for people in Taiwan. In order to protect the living environment and eliminate improper vehicle modifications, the Ministry of Environment has used acoustic camera technology for law enforcement since 2021. The system contains several scientific instruments, including a license plate recognition function that helps authorities identify noisy vehicles. Technology also improves inspection efficiency and quality of noisy vehicles. Existing roadside inspections require onsite noise measurement. The stationary noise test takes at least 20 minutes for each vehicle. Law enforcement using acoustic camera technology can simultaneously record videos, take photos, identify vehicles and complete noise measurements, to increase efficiency by a factor of 200. It is no longer necessary to use a large amount of manpower to carry out checks and inspections, greatly reducing labor costs. The Acoustic Camera equipment equipment used in this exhibition is provided by OE Scientech Co., Ltd. They not only supply fixed or mobile sound-based photography equipment to Taipei City, Taichung City, Chiayi City, and Changhua County but also have extensive experience in assisting with technology enforcement operations.

The Civil IoT data service platform collected and stored environmental sensor data in four key areas: earthquake, water resources, air quality, and disaster prevention, and provides real-time data service using the OGC SensorThings API that conforms to the international data modeling standards for value-added services through a unified data modeling framework. In order to solve the problem of insufficient communication in remote areas, Band20 frequency band is utilized to build a backbone network core service for IoT application, which provides remote areas with the use of Band20 frequency band as a network communication method for IoT data transmission, and expands the scope of IoT deployment in remote areas.

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. The sensor utilizes optical detection methods to detect concentrations of suspended particulate matter (PM2.5) and ozone (O3) in the air. Innovative key technologies, including dual-channel micro-particle sieving, micro-particle signal feature recognition, LED dynamic light source stability, and multi-environmental factor compensation, are employed to enhance the sensor's lifespan and accuracy. Furthermore, semiconductor and micro-electromechanical (MEMS) technologies are utilized to create a micro-heating chip. This chip, combined with gas nano-sensing materials and a single-chip sensing control circuit, converts the detected gas sensing resistance changes into carbon monoxide concentration values for the detection of carbon monoxide (CO), total volatile organic compounds (TVOC), and other harmful and odorous gas concentrations.

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.

This service can avoid children and elders being lost. Users merely have to bring the device with them, through the sensor installed at the service area, family members can immediately receive users’ instant position through exclusive website, LINE or App. 【Real-time Positioning】 The caregiver can dynamically query and know about the real-time location and the path data for each care receiver. 【Guarding Area】 The caregiver can set different areas as guarding areas, and they will be notified if any care receiver enters or leaves these areas.

-)Mainframe monitoring system, maximally supporting one million spots in real time. -)Smart loading balanbe for AOS -)Remote backup for AOS -)Adjudge amount of AOS as required, based on flexible structure. -)Central security management.