ESGP (Enterprise Sustainability Governance Platform): This platform aids businesses in conducting automated carbon footprinting, utilizes AI technology to generate sustainability reports, effectively manage ESG information, and produce various reports tailored for different stakeholders.

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.

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.

Key Features & Highlights Intelligent Monitoring: Advanced sensors and AI record real-time exercise data, providing actionable insights for precision and safety. Data-Driven Training: Generates personalized plans and dynamically adjusts based on performance. Medical-Grade Reporting: Offers reports with exercise scores, stability evaluations, and improvement recommendations. Smart IoT Connectivity: Enables remote monitoring and data synchronization for smart healthcare solutions. Patented Technologies Eccentric Training Technology (Patent No: I840182): Reduces strain while improving muscle strength, ideal for rehabilitation and sarcopenia users. Maximum Strength Curve Measurement (Patent No: I838256): Dynamically adjusts resistance, enhancing safety and training efficiency. AI-Driven Training Plans: Creates tailored plans in seconds, ensuring personalized and effective workouts. Applications Medical Centers: Assists physicians in improving patient rehabilitation outcomes. Smart Gyms: Provides data-driven, personalized training experiences. Urban Health Systems: Supports public health initiatives through integrated smart solutions.

Ensuring your wallet stays slim and sleek, it features worldwide tracking, left behind reminder, and a super slim USB-C connector

Millilab provides smart automotive in-cabin solutions, including both hardware and software as well as total solutions for CPD (Child-Presence Detection) and DMS (Driver Monitoring System). With our proprietary algorithms, our radar modules can distinguish between adults and children, helping to prevent incidents where children are left unattended in vehicles.

The diagnosis of ADHD is based on the core symptoms appearing in DSM-IV or V criteria. In addition to the criteria, some physicians use checklists to assist the diagnosis of ADHD. However, either symptoms or checklists are subjective, which leads to diagnostic problem. In this product, data from the gyroscope and accelerometer in a smart watch were used to analyze the movements of children with ADHD. The children with ADHD and controls wore the watches on their hands simultaneously in class and compared the data from recorders for analysis. This method can help us to establish a objective tool for diagnosis and evaluation of ADHD.

Delta’s EV charging solution utilizes the self-developed DeltaGrid® EVM, an electric vehicle charging management system for smart charging, power allocation, and charging equipment management. To avoid exceeding the site’s power limit during simultaneous charging, which could result in fines or power outages, the depot adopted a smart charging management system to effectively address power overuse and charging allocation issues. Under limited power conditions, the system efficiently allocates charging power for the electric buses and provides flexibility for future fleet expansion. To address the challenges of charging commercial fleets, the system has dedicated features that were developed for electric buses and commercial fleet charging needs, including Vehicle Identification, Site Current Limitation, Real-Time Alerts, etc, effectively enhances charging efficiency, optimizes operational benefits for electric fleets, and successfully demonstrates the transformation to the electrification of transportation.

AIGym is a retraining equipment supplier that provides AI intelligent technology and digital weight modules. Through intuitive exercise measurements to create personalized exercise models, scientific training programs can be easily completed by users, and data comparisons can be made to track the results. Provides eccentric, general and ageing training modules, suitable for gyms, corporations, rehabilitation units and community centers. Rental or purchase options are available, and the software modules meet different needs.

By leveraging AI digital twin models, we predict KPI performance to support decision-making for backup machine selection, enabling energy savings and operational efficiency. Explainable AI is used to analyze the parameters influencing KPI, revealing that air compressor efficiency is strongly correlated with its shaft bearings, highlighting the importance of predictive maintenance for these components. Additionally, an intuitive dashboard visualizes the relationship between demand and supply data, facilitating real-time decision-making and responsiveness. With the integration of LLM Agents, users can communicate seamlessly with digital twins through natural language, enhancing usability and interaction efficiency.

Taichung City has deployed 1,220 air quality sensors, utilizing IoT and AI learning, along with a geographic information system to visually present real-time sensor monitoring data.By leveraging big data analysis, pollution hotspots and peak pollution periods are identified to assist environmental agencies in smart law enforcement. Additionally, cross-department collaboration is implemented for environmental governance, employing intelligent technology management for air quality control. The integration of unmanned aerial vehicles (UAVs) further enhances pollutant sampling efficiency.

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.