LiftMind is a non-invasive AIoT elevator add-on system that enables rapid upgrades to smart functionality without modifying existing elevator control systems. The system leverages advanced external sensors and AI technology to deliver features such as passenger flow monitoring, emergency incident alerts, user behavior analysis, elevator operation optimization, and enhanced, user-friendly riding experiences. Its open architecture seamlessly integrates with Building Management Systems (BMS) and other IoT devices, significantly improving elevator management efficiency and user satisfaction. LiftMind supports a wide range of elevator brands and models, offering flexible adaptability to various application scenarios, making it the ideal solution for smart building upgrades.

Enables on-premise training of medical AI models, including deep-learning and generative AI machine learning, from healthcare providers' own data lakes while ensuring data privacy, ownership, robustness, and cost-effectiveness.

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!

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.

FuniWood AI+ 8K 3D Content Production Center，including the following solutions： 5G + 8K three-dimensional immersive content production center solution 8K stereo content shooting solution (including stereo camera, real-time monitoring system) 8K three-dimensional live broadcast solution (including multi-channel broadcast hardware engineering, multi-channel signal live broadcast system, real-time special effects system) 8K stereoscopic scanning solution 8K stereoscopic content post-production solution (including solving, sewing, retouching, and special effects processes) 8K three-dimensional metaverse interactive special effects mechanism solution (Unreal & Unity) 8K three-dimensional virtual studio solution

The system can be connected to IoT devices in series, and the devices can be operated and monitored remotely. The corresponding data of the devices is available on the website to meet the living needs of tenants and landlords.

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.

Our energy management system can generate energy management data chart, display real-time 3D status display. Usage fields includes "Air conditioning system", "lighting control system", "charging pile management system", "energy storage management system", "power management system". It reduces the customer's risk of integrating different system interfaces and improve overall energy use Efficiency, the system regularly sends "Energy Verification Report", "System Efficiency Report", "Maintenance Notice" and other information to comply with the information required by the Energy Management Act, ISO14064-1, ISO50001, ISO14067 and other standards, reduce labor costs and consolidate data time, and can interface with traditional SCADA system information to upload to the cloud, solving the problem that traditional systems cannot be remotely monitored, allowing customers to get twice the result with half the effort on the path of ESG, energy conservation and carbon reduction.

Most cold chain logistics vehicles currently use engine-driven compressors to power refrigeration units. This increases engine wear and fuel consumption, especially during idling when unloading. With global warming and stricter carbon reduction policies, retrofitting fuel-based cold chain vehicles has become urgent to reduce emissions and fuel costs. Our solution provides an independent power system that allows refrigeration/freezing units to operate without engine idling. It uses solar panels for supplemental energy and high-performance, safe LiFePO₄ batteries to ensure stable power. This setup reduces fuel use and lowers carbon emissions during stops. The system also offers emergency power support and features remote monitoring for real-time management and quick troubleshooting. Additionally, it is fully compatible with electric logistics vehicles, requiring no redesign. This makes it a sustainable, green solution that meets future low-carbon logistics needs.

Taiwan Instrument Research Institute (TIRI) of the National Applied Research Laboratories , as a incorporated foundation , collaborates with outstanding domestic academic teams to jointly develop advanced microchips for air quality sensors. Our mission is to achieve real-time monitoring of air quality in daily life and provide accurate alerts and information to the public. Through the collaborative research and innovation of industry, government, academia, and research, the ultra-miniaturized design of the sensor system is not only the culmination of locally developed independent technology but also a dedication to public health. We can sensitively capture subtle changes in the air, providing real-time information on air quality conditions. Empowering you to understand your surrounding environment and take timely actions, our sensor ensures a breath of fresh air and a healthier lifestyle. We are committed to creating a world of air quality filled with wisdom and care.

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.

Baseball enjoys widespread popularity in Taiwan, and our cutting-edge 5G live streaming technology elevates the sport to a new level. Through real-time 360-degree tracking, we present a three-dimensional strike zone, delivering an unprecedented viewing experience. This innovation not only enhances the enjoyment for spectators but also serves as a valuable tool for training. Coaches and sports science teams can leverage precise multi-angle recordings to analyze and optimize player movements, effectively contributing to enhanced athletic performance.