ENEXA PowerArk is a mobile energy storage system designed for use in EV application environments. By integrating mobile charging capabilities with high-efficiency energy storage, it flexibly supports electric vehicle charging, peak shaving and valley filling, demand management, and temporary power supply. PowerArk can be widely deployed in a variety of scenarios, including night markets, commercial and entertainment events, parking facilities, retail operations, construction sites, residential communities, commercial and industrial energy storage applications, gas stations, and emergency or disaster-relief situations. It effectively replaces traditional diesel generators, delivering a low-carbon, quiet, and highly efficient energy solution that enhances operational flexibility while supporting sustainable energy goals.

Prof. Ming-Yen Lin’s Team – A Prediction Model for Type 2 Diabetes Complications Our research group develops a decision-support prediction model for type 2 diabetes complications using data from over 163,000 Taiwanese patients. Integrating age, HbA1c, and other dynamic factors, the model estimates long-term risks of major complications and mortality, visualizes future trends, and supports personalized care planning to improve disease management and outcomes.

This solution integrates AI technologies with IoT sensing devices to support intelligent operations in public facilities and industrial environments. The AIoT monitoring and analytics platform collects real-time equipment and environmental data, enabling analysis, early warnings, and remote management. By transforming data into actionable insights, the solution enhances operational efficiency, system reliability, and data-driven decision-making for facility management.

The Qualcomm Insight Platform (QIP) delivers an end-to-end video intelligence solution powered by Qualcomm Technologies’ industry-leading on-device AI. It provides centralized video intelligence management across diverse sources and leverages real-time edge AI analytics to reduce latency and accelerate decision-making. A built-in multimodal AI engine integrates image, speech, and text capabilities while optimizing performance, security, and total cost of ownership (TCO) for stable and highly scalable deployments. Paired with Innodisk’s edge AI box and IP cameras, QIP enables high-efficiency real-time edge analytics, supporting multimodal AI and natural language search while integrating seamlessly with existing infrastructure. It enhances worker safety, optimizes logistics processes, and strengthens restricted area management, helping organizations improve operational efficiency and risk control. The platform transforms surveillance into actionable security and operational insights with built-in privacy and compliance while ensuring data privacy and regulatory compliance. It is suitable for smart cities, manufacturing, energy and utilities, warehousing and logistics, retail and commercial spaces, healthcare and education, transportation, as well as enterprise and building management scenarios. * Qualcomm branded products are products of Qualcomm Technologies, Inc. and/or its subsidiaries. Qualcomm is a trademark or registered trademark of Qualcomm Incorporated.

We offer comprehensive surveillance system integration services to meet the needs of public domains and urban governance. This includes professional monitor installation, high-capacity video storage planning, and VPN circuit transmission services to ensure secure data transfer, establishing a reliable digital foundation for urban security.

With the rise of smart cities and cloud technology, building security has evolved from traditional surveillance to AI‑driven proactive protection. Our electronic perimeter security solution establishes an invisible defense through five layers. First, AI visual recognition performs human detection and skeleton tracking, filtering out non‑human interference. When individuals linger in sensitive zones beyond a set threshold, the system triggers initial warnings via speakers and lighting. Second, if a target crosses the virtual perimeter or enters restricted areas, the system instantly identifies illegal intrusion and pushes alerts and live footage to the control center or homeowner. Entering the active countermeasure stage, the system can lock access doors, activate outdoor lighting, and enforce tracking to isolate intruders. If threats persist, the highest‑level electronic deterrence is deployed: high‑decibel alarms to draw attention, intense strobe lighting to disorient intruders, and automatic connection to police or security services to secure external support within the critical response window. This integrated solution combines AI, cloud, and building facilities to deliver early warning, confirmation, and counteraction—greatly enhancing the safety resilience of smart buildings.

Leveraging system development technology and combining it with environmental engineering consulting expertise, EGIT provides comprehensive and convenient climate-change adaptation support systems for various entities, including government agencies, financial institutions, universities, and private organizations. The system encompasses features such as GHG inventory, climate change risk alerts, and asset depreciation assessment. Our expertise assists organizations in addressing climate risks.

Far EasTone’s Traffic Signal Mobile Communication Service makes urban intersections smarter and safer! With the stable connectivity of Far EasTone’s network, traffic control centers can not only monitor signal status in real time and adjust timing remotely, but also optimize signal control based on dynamic traffic flow, enabling smoother travel and reducing congestion. At the same time, we place pedestrian safety at the core. In response to the “pedestrian hell” issue, the system supports pedestrian signal control—such as extending pedestrian green time or inserting additional phases—and works in tandem with smart intersection sensing devices to proactively protect every step pedestrians take while crossing the street.

DeltaGrid® low-carbon emission energy solution focuses on the four major perspectives of energy creation, energy storage, energy control, and energy saving. It integrates solar energy, energy storage, EV chargers, energy management, as well as energy saving software and hardware products to provide a practical transformation solution that helps strengthen grid resilience, optimize energy dispatching, enhance renewable energy utilization, and achieve cost and energy saving, carbon emission reduction, and net zero sustainability goals. The solution is for four major areas, including power plants, industrial and commercial factories, electric vehicle charging stations, and community residences, so that renewable energy can be stably connected to the grid, stabilize the electricity consumption of industrial and commercial factories, and improve the operating efficiency of charging stations.

Through matchmaking of public and private forests, enterprises can acquire forest-related data through hosting mechanisms. This includes metrics such as survival rate, tree height, carbon sequestration, and corresponding SDGs (Sustainable Development Goals) indicators. Leveraging deep learning and image processing technology, CoCoTree transforms trees and forest landscapes into data, providing customers with highly accurate forest information. This includes metrics such as carbon emissions, tree growth status, and changes in the ecosystem.

Qualcomm Terrestrial Positioning Service (TPS) provides high-accuracy geolocation and wayfinding capabilities for mobile and industrial devices by leveraging nearby Wi-Fi, cellular base stations, and terrestrial signals such as Bluetooth® Low Energy (BLE), enabling precise positioning virtually anywhere. It offers flexible integration options through software packages and APIs that can be easily incorporated across diverse hardware and platforms. Designed with battery efficiency in mind, intelligent algorithms support always-on or periodic cloud-based location updates, optimizing power consumption for different usage scenarios. TPS also supports offline positioning through token and caching technologies, allowing devices to determine location even without network connectivity. * Qualcomm branded products are products of Qualcomm Technologies, Inc. and/or its subsidiaries. Qualcomm is a trademark or registered trademark of Qualcomm Incorporated.

mAST: Muscle Auto Strength Training System Modernizing Tradition: Transforms traditional Squats and Bench Presses into a safety-first, scientifically optimized, and high-efficiency training experience. Key Product Features ■ Superior Safety & Scientific Precision: Combines high-level safety protocols with data-backed insights for maximized training results. ■ Parameterized Controls: Offers diverse training modes with high-precision resistance control at 1kg increments. ■ Historical Data Analytics: Automatically logs every session, allowing users to track progress through historical data and analyze trends in training effectiveness. ■ AI Virtual Coach: Features automated resistance control paired with human-like audiovisual guidance, interacting with users just like a personal trainer. ■ Space & Cost Efficiency: No need for traditional bulky equipment, reducing procurement costs while creating a sleek, professional, and minimalist environment.