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

Through Huijia Health's globally exclusive nFOPT® optical fiber monitoring technology, we have developed new products and solutions ESG AI Box (LiBox) that can be used in Industry 4.0. We plan to enter the semiconductor, petrochemical, energy, In the global market of industries such as electronic technology and machine tools, we provide ESG AI carbon reduction solutions to solve the dual-axis needs of industrial digital transformation and net-zero carbon reduction.

Combining with barometric pressure MEMS (microscale electro-mechanical systems) modules and low power characteristic, the sensor is suitable to monitor and measure water levels of drainage, sewer systems or inundation depths. Having high accuracy, low power consumption and lightweight, the product can be easily installed and maintained. It has the feature and functionality of acquiring real-time data from fields for further analyses, computing and modeling applications.

Five Features 1. Remote Monitoring and Visualization 2. KPI and analytics of solar power & Comparison of equipment power generation: Check the health and aging of the power station.Display equipment power generation trend and equipment status. 3. Works Management System and Report of Works Statistics: Planned maintenance management, system dispatch, automatic scheduling, and analysis of maintenance deficiencies to improve and optimize. Analyze the data and give feedback to the maintenance team to improve the system availability and optimize personnel allocation. 4. Fault Detection & Customized Reports: With data processing and AI arithmetic, this system spontaneous alert, and detailed PV array condition monitoring. Regularly inspect the power generation and income of the power station. 5. Value Added Services: PV forecast in power dispatching and revenue estimation. Assess the power generation of the sites to assist financial analysis.

Smart Public Transportation System: Intelligent Vehicle Infrastructure, Intelligent Bus Stop, Advanced Driver Assistance System, and Real-Time Bus Information System

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!

Facing issues such as urban-rural development imbalance and population outflow, E.SUN took the lead among financial institutions across Taiwan in formally launching the "Regional Revitalization Project" in 2018 in order to provide integrated services combining business counseling and funding support for local businesses. Collaborating with third-parties, E.SUN has already fostered over 20 industries and assisted more than two thousand local enterprises in securing funding. Furthermore, E.SUN has supported regional revitalization businesses through "enterprise incubation," "brand exposure," and "talent cultivation" to build a supportive environment for regional revitalization. E.SUN is committed to integrating sustainable concepts into our core financial services. In response to the UN biodiversity framework and TNFD international standards, E.SUN collaborates with the Ministry of Agriculture, Tse-Xin Organic Agriculture Foundation, and Corporate Synergy Development Center to launch the "Energetic Leopard Cat Loan" project, assisting producers in producing agricultural products with sustainable concepts.E.SUN also cooperates with the Ministry of Agriculture to hold counseling meetings, connecting counseling and funding platforms to promote sustainable agricultural development. Additionally, E.SUN sets up an ESG area on the employee welfare website to encourage employees to purchase these sustainable agricultural products, promoting mutual benefits for the industry and ecology.

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.

Robotiive is an AI Computer Vision powered Industrial automation (RPA) solution that builds the foundation of your smart factory. By automating manufacturing processes and workflows, upgrading your legacy equipment, and reducing human workload, it builds upon your existing systems and ensures nothing is left behind in the age of digital transformation.

In order to save the use of natural resources, implement resource recycling and reuse, reduce processing costs and reduce environmental load. We use the recycling processing technology to transfer the remaining cutting materials of the ALC body, as well as industrial by-products and domestic waste resources (waste glass) back to the ALC raw material for use. Actual testing of the product shows that the reuse technology is feasible, the quality is stable, and the efficiency of waste reduction and carbon reduction is high. Now It has obtained the environmental protection label from the Ministry of Environment and the green building materials label from the Ministry of Interior.

The Smart Dust Sensor technology is an innovative solution for integrating IoT networks into air quality monitoring. Developed collaboratively by the National Science and The National Science and Technology Council (NSTC), in collaboration with Taiwan Instrument Research Institute (TIRI) and Taiwan Semiconductor Research Institute (TSRI) of NARLabs, and leading academic teams in Taiwan, this technology has successfully miniaturized gas sensors while achieving low power consumption and high sensitivity. Its core features include exceptional sensitivity and stability, enabling real-time monitoring of multiple gases. Moreover, the fully domestically developed technology reduces dependence on imports and offers cost-effective sensor modules, driving the widespread adoption of air quality monitoring devices. The Smart Dust Sensor has undergone extensive field testing and third-party certifications across various applications. These include environmental monitoring stations (e.g., Taichung Dali Station), public recreational areas (e.g., odor monitoring in public restrooms), and industrial settings (e.g., semiconductor facilities and wastewater treatment plants). With its proven accuracy, reliability, and traceable data, the technology plays a key role in advancing air quality monitoring solutions, facilitating the development of smart cities, and contributing to improved environmental management.

Self-developed wireless low-power high-capacity communication protocol, suitable for motion trajectory IoT devices that pursue high battery life and low latency, and can connect 2,000 devices at the same time