Develop by specific specifications of power companies

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.

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.

Remote expert video collaboration solution uses AR smart glasses to transmit onsite situation to the remote technical experts with high-definition real-time video, and guide the on-site engineer to troubleshoot and repair the fault from the first-person view perspective and free their hands. This is not only improves maintenance efficiency, but also ensures safety. It also achieve the sharing and inheritance of expert resources and high cost of traveling on site. When encountering difficult situations, multiple technical experts can also be invited for consultation. Experts can provide real-time multi-party HD video guidance with the on-site engineer, whether on PC or smartphone, to jointly solve technical issues and reduce downtime losses.

AI on-site Earthquake Early Warning System A highly optimized system setting and design to sense earthquake P-Wave within 3 sec and through AI model to predict PGA and PGV immediately and send information to customer for further application Product Advantage -Customization by customer demand -Professional team to optimize system set up to avoid environmental noise and interference -Multiple system design to enhance system stability and efficiency -Close loop design for information security -AI model with best system set up for best performance in speed and accuracy -Evolving AI model with more data collection

The 5G next-generation mobile network has the three characteristics of "eMBB", "URLLC" and "mMTC". Hwacom System Inc. creates diversified applications and promotes industrial innovation, such as artificial intelligence (AI) and Internet of Things (IoT) application integration platforms. In combination with domestic Netcom factories, vertical application integration is established to build a world-class application field. (Smart City, Smart Transportation, Smart Healthcare, Smart Factory)

ITS traffic data collection has solved the laborious and time-consuming task of manually calculating traffic flow in the past. It aims to achieve the goals of smoother road conditions and reduced accidents through intelligent traffic diagnosis. By utilizing intelligent transportation systems, the system automatically tracks vehicles, identifies vehicle types, predicts trajectories, and transforms the data into useful information. This assists in real-time interpretation and improvement of traffic engineering. This system is particularly crucial in Taiwan, where over 60% of traffic accidents occur at intersections. Through big data analysis, identifying issues and formulating solutions is possible, thereby lowering accident risks. This approach proves more effective than simple advocacy and alerts.

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.

Slimca HERE boasts three world-first features: (1)Ultra-Thin USB-C Connector: Supports standard USB-C cables, environmentally friendly and waste-free. (2)0.9mm Thickness: The same size as a credit card, incredibly thin. (3)15-Degree Bendable Design: Durable and flexible, won’t break in your wallet.

Currently, the prognosis of critically ill patients in the intensive care unit (ICU) is often assessed using the APACHE or SOFA scoring systems to predict mortality rates. However, these systems have been in use for over 20 years, and the data they are based on is outdated. Today, clinical data is more abundant and precise, and advancements in machine analysis capabilities have made traditional scoring systems insufficient for meeting the demands of accurate predictions and personalized medicine. To address this, our team has developed a survival prediction device for critically ill patients. Using an AI algorithm model, it utilizes clinical data such as physiological, laboratory, and examination results to predict the patient's survival rates for the next 30, 60, and 90 days, providing a more accurate reference for prognosis assessment and medical resource allocation.

The Ministry of Environment has promoted the deployment and application of the Internet of Things for empty product sensing since 2017, and has deployed approximately 10,000 sensors to make up for the deficiencies in time and spatial resolution of standard monitoring stations. Among them, in 2022, it expanded from the Taiwan island to Lienchiang County on the outlying Island. Its unique geographical location is more conducive to early warning of transboundary pollutants and reminds people to take precautions in advance.

FET has been investing in the development of IoT applications for a long time and assisting Taoyuan City to become the first city in Taiwan which adopts large-scale intelligent lighting system and LED street lamps. FET has also integrated 5G and AI technology to launch the "5G Smart Pole" solution, providing a variety of smart application services and accelerating the transformation of Smart City! Features * Smart pole can combine Digital Signage, IP camera, high efficiency street lamp, Roadside Unit, 5G Small Cell and EV charger * Base on 5G smart pole alliance standards