Through 5G’s features of high speed, low latency and big connection, the 5G enterprise private network can provide highly secure and reliable network services. In order to avoid the outflow of sensitive data, enterprises can transmit data on this internal network to keep it isolated from the public network. Currently, this is being used in manufacturing, medical, transportation, and in other industries which also have demanding network quality requirements. Chunghwa Telecom’s self- developed "5G intelligent A +" private network service adopts independent core network technology and can connect to both the N78 public network and the N79 private network at the same time. It also has a number of world-leading exclusive functions, including the ability to determine whether data can enter the enterprise intranet based on conditions such as serial number, IP, and website address. It can also adjust bandwidth and data access rights based on person, time, and location. Combined with cloud and a variety of other application services, the CHT 5G private network enables enterprises to establish a complete network solution.

The Ministry of Environment integrates IoT and generative AI for smart environmental governance. For fire emergency response, our AI-powered system provides real-time assist during challenging periods like weekends and midnight hours. Through an AI Q&A system, emergency personnel can instantly analyze air quality data and weather information, enabling quick response and public notification. This has reduced response time by 66% and decreased public complaints from 70 cases to single digits.

AIXA Osteo is a cutting-edge AI-powered musculoskeletal screening solution designed to assess osteoporosis, sarcopenia, and vertebral compression fractures with speed and accuracy. Utilizing advanced imaging analysis, AIXA supports X-ray and CT scans, providing clinically validated reports to enhance screening efficiency, streamline diagnostic workflows, and enable large-scale health assessments. 1. Beyond DXA Limitations – Enables bone density and sarcopenia assessments using X-ray, increasing accessibility 2. High-Efficiency AI Analysis – Generates clinical reports in just 6 seconds 3. Accurate & Reliable – DXA-standard bone density correlation (R=0.996), with 97.2% sensitivity 4. Versatile Applications – Suitable for hospitals, clinics, long-term care facilities, health check-up centers, and mobile X-ray units 5. Comprehensive Report – Standardized analysis of the spine, hip, and lower limbs, providing a musculoskeletal health assessment AIXA makes musculoskeletal screening faster, more precise, and more accessible, empowering early intervention and disease prevention!

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.

Building a Intelligent Transportation Network The traffic system is the artery of an urban development. To improve traffic quality and build a intelligent transportation network, Taiwan SECOM is working with local governments to promote smart street lights. The brightness of these lights can be adjusted according to the surrounding environment, which not only conserves energy but also reduce traffic accidents caused by insufficient lighting. A traffic flow detection system can immediately analyze the traffic flow of each main path and the substitute routes can be immediately displayed on the display to effectively divert traffic flow. The geomagnetic sensor and smart parking meter will help you live occupancy reoporting and fee calculation. Smart Street Light ．Smart Lighting: adjusts brightness according to various scenarios. ．Traffic detection: optimizes traffic routing and analyzes traffic flows. ．Environmental Sensing: detects the temperature, humidity, and PM 2.5 levels. Smart Parking Meter ．Live ocupancy reoporting and fee calculation. ．Bill pringting and support third party payment. ．Significantly reduce the labor cost of road side billing by more than 50%.

With the emergence of technologies such as 5G, the Internet of Things, Artificial Intelligence and Cloud Computing in recent years, the server industry has experienced explosive growth. In line with the two major trends of "software definition" and "open standards," private industry and governments are collaborating to promote numerous high-tech research projects and the development of critical technologies. As the cloud industry chain continues to evolve, the annual power consumption of data centers, which are made up of numerous individual servers, increases greatly. Consequently, the effective thermal management of servers and data centers has become an increasingly crucial issue.

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.

ARBOR’s smart medical wristband efficiently improves body temperature monitoring to tolerance within ± 0.1°C. With MediaTek’s IoT platform integrated, the wristband provides health condition information to be uploaded to synchronized with smartphones and the regional epidemic prevention system in real time so that patients’ vital signs can be monitored instantly and precisely. Collect the data on disease carriers and its environment, it can analyze patients’ medical and health information, and send the information to the patients and medical professionals. The public can also then receive the warning for diseases or epidemics.

Wearable laser therapy device combines with BLE and cell app to become the world’s first AIOT laser therapy device. Due to it is compact and easy to carry, cell phone app can text the users to use the protocol on time based on his using habits at any time and anywhere, which becomes a new helper of rehab in home-based medical programs and precision health.

Our product combines acoustic technology with artificial intelligence to offer an innovative device focused on muscle quality assessment. Traditional muscle testing methods often rely on the subjective experience of physicians or expensive equipment such as CT scans and MRIs, which are not only costly but also cumbersome. Our device uses non-invasive acoustic signal analysis, combined with AI models, to provide fast and accurate diagnoses, significantly reducing medical costs and improving diagnostic efficiency. The product is lightweight and portable, allowing physicians to use it flexibly in clinics, communities, or home visits, making it suitable for diverse scenarios such as long-term chronic disease patients, athletes, and the elderly. With high-precision AI algorithms, the device can instantly provide analysis reports on muscle condition, such as strength, elasticity, and power, helping physicians make more scientifically-based clinical decisions.

The technical solution of Foxtron Electric Bus combines domestic and international resources, each contributing its strengths： 1. It adopts Foxtron's self-developed VCU software, integrates and develops the EEA architecture for electric buses, and utilizes motors, batteries, and chassis suspension systems from international major manufacturers. In collaboration with domestic manufacturers, Foxtron designs and develops dedicated low-floor bus frames for chassis cooperation. 2. In the product design of electric buses, Foxtron identifies pain points in traditional buses and improves upon them. For example, traditional buses often have issues with rollover protection and numerous blind spots, as well as differential wheel rotation caused by wheelbase, leading to frequent traffic accidents due to visibility problems. To address these issues, Foxtron employs Computer-Aided Engineering (CAE) and NVH (Noise, Vibration, and Harshness) analysis to verify the design of various systems and components. This ensures the overall strength of the vehicle body and chassis, enhances passenger safety, and incorporates features such as panoramic image display and an electronic wide-angle rearview mirror with a blind spot detection system to solve driver blind spot issues. Additionally, to alert pedestrians and other road users to the risk of differential wheel rotation, Model T projects prominent light beams onto the ground during turns, marking the danger zone.

The “MiAIOT x 5G Railway Safety Management System was developed based on MiTAC’s in house AIoT platform-“MiAIoT”, and will assist the digital transformation of Taiwan's rail industry in the future, including cloud-based train operating data exchange, real-time train warning system, AI equipment abnormality prediction, and feeding all these crucial information to a situation “war room”.