Far EasTone’s Traffic Signal UPS System ensures that intersections remain “lit and flowing” even during power outages. By integrating Far EasTone’s self-developed monitoring and management platform with smart batteries and signal controllers, the system can instantly track battery levels, utility power status, and device health. When an abnormality in the utility power occurs, the smart battery automatically takes over to keep the traffic lights operating normally. This enhances road and public safety while preventing sudden traffic disorder or additional carbon emissions caused by congestion. At the same time, battery and UPS data are sent back to the platform, allowing management units to detect abnormalities in real time and respond quickly—building truly stable and uninterrupted smart mobility for cities.

EdgeLink-X is an AI-driven heterogeneous edge-network platform built to provide resilient, low-latency connectivity for intelligent transportation and railway environments. The system forms a multi-layer architecture that unifies field communications, sensing, video capture, and edge analytics into a reliable and adaptive communication framework. At the field level, IP110H and IP503H Lite IP radios deliver instant voice communication and group coordination for frontline personnel. Sensors and cameras are connected through the AG260 AIoT Gateway, while the AS710 Wi-Fi 7 indoor access point provides high-quality Wi-Fi coverage in stations, platforms, and passenger areas to enhance traveler connectivity. Long-range, time-synchronized backhaul is supported by the SP250 Series, ensuring stable, high-throughput wireless links across trackside and outdoor environments. At the core, the zMEC edge-computing platform performs real-time AI video analytics, abnormal-event detection, and rapid data distribution to minimize latency and support mission-critical responses. By integrating Wi-Fi, LTE, 5G, PTP wireless backhaul, and AIoT devices into a single cohesive system, EdgeLink-X enables applications such as slope monitoring, intersection intrusion detection, pantograph spark/wear monitoring, and onboard operational visibility—forming a robust foundation for next-generation safe and intelligent mobility.

1. Integrating data of water quality and water consumption, the online system will automatically conduct continuous data monitoring, and can be applied for both clean water and sewage water measurement. 2. Real-time monitoring: Seize real-time water information to maintain the stability of water quality and instantly react when abnormal condition is detected, dramatically increasing management efficiency. 3. Smart Dosing Scenario: Integrating automatic dosing equipments with upper and lower alarm settings to ensure dynamic stability of water quality and decrease labor cost. 4. Data Analysis: Apply schedule planning to build up the trend of historical changes and to develop the situation management model. 5. Compliance with the regulations: Complete the full-time management mode, in compliance with the regulations of the competent authority and environmental protection standards. 6. The water quality sensor (specific model) is automatically cleaned without additional consumables and can be cleaned frequently.

The Dragonwing IQ9 Series delivers industry leading AI performance, built in safety features, and design flexibility to meet the demands of advanced industrial workloads. Even in extreme environments, it provides high compute, power efficient processing for heavy, mission critical tasks. The Dragonwing IQ9 series delivers up to 100 TOPS of on-device AI performance, capable of running Llama2 13B models and generating up to 12 tokens per second. Its industrial-grade safety features and ECC memory ensure stable and secure operation in harsh environments ranging from −40°C to +115°C, providing strong reliability for demanding deployments. Designed with developers in mind, it supports multiple operating systems, including the Qualcomm® Linux® software stack and Ubuntu, offering a flexible and accessible development environment. The platform is well suited for smart cities, large-scale security monitoring, traffic management, and other mission-critical applications. *Qualcomm branded products are products of Qualcomm Technologies, Inc. and/or its subsidiaries. Qualcomm and Qualcomm Dragonwing are trademarks or registered trademarks of Qualcomm Incorporated.

In response to the rapid transition into a super-aged society, Nantou County faces significant challenges due to its vast geographic area and the uneven and insufficient distribution of medical resources. Many elderly residents and persons with disabilities experience difficulties in accessing prescription medications. In 2025, Nantou County launched the nation’s first “Home Medication Delivery Service System.” This innovative service allows elderly residents or their family members to apply and make appointments online. Licensed pharmacists then deliver medications directly to the patient’s home free of charge. By integrating technology with compassionate care, the program promotes medication equity and enhances medication safety for vulnerable populations. It also reduces the caregiving burden caused by long travel distances and limited transportation options. Through this initiative, Nantou County is committed to building an age-friendly city that ensures accessible, safe, and dignified healthcare services for all residents.

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.

In the evolving architecture of smart cities, AI-powered smart parking systems have transformed from standalone parking management tools into critical nodes within intelligent urban operations. By integrating AIoT sensing, image recognition, and cloud platforms, the system enables real-time parking occupancy monitoring, license plate recognition, and traffic flow prediction, enhancing traffic efficiency and optimizing road resource allocation. It connects people, vehicles, facilities, and payment processes into a unified ecosystem, streamlining circulation and improving user experience. By incorporating EV charging infrastructure, the platform supports green energy dispatch and low-carbon transformation. Acting as a data-driven hub, it interfaces with traffic signal systems and municipal platforms, forming a foundational infrastructure for cross-domain smart governance.

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 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.

SOYAL Smart Parking Lighting System integrates RFID and infrared sensing to automatically pre‑light target spaces upon vehicle entry, while dynamic “lights follow the car, off when it passes” guidance ensures safety, efficiency, and energy savings for low‑carbon smart parking. The WEB PLC Air‑Conditioning Control System uses DI sensors to detect occupancy and temperature differences, adjusting indoor climate on demand to optimize building energy performance and support carbon‑reduction goals. The WEB PLC Office Lighting Control System combines card recognition with infrared sensing to maintain uninterrupted lighting when staff are present, then provides a five‑minute buffer before shutdown after work hours, with secondary detection to confirm departure. This precise energy management maximizes the value of every kilowatt. Together, these three systems highlight the advantages of smart building automation—delivering comfort, safety, and sustainability.

Prof. Chia-Hsin Chen’s Team – An Innovative AI-Powered Tongue Vibration Training System This project develops an AI-driven tongue vibration training system for dysphagia and obstructive sleep apnea. It combines a safe, adjustable tongue device, AI motion tracking with real-time biofeedback, EEG-based cognitive monitoring, and AR-based gamified training to deliver personalized, engaging, and data-driven rehabilitation.

Digi-Green Compass – Linking Tech to a New Future Showcasing Taiwan’s Green Resilience Through Technological Leadership Centered on the core pillars of AI, DIGITAL and GREEN , Digi-Green Compass brings transformative capabilities of enterprises, cities, and industries to forge a comprehensive green ecosystem spanning Energy, Mobility, Governance, and Green Supply Chain. Through benchmark leadership and technical demonstrations, this pavilion illustrate the feasibility and scalability of the net-zero transition. Here, technology serves as a shared language for industrial decarbonization, urban optimization, and supply chain synergy, leveraging technical strength to advance together toward a net-zero future.