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.

Applying our technologies portfolio to IoT system, we expand the diverse solutions with hardware, software and cloud services to custom reliable and cost-effective applications to incubate smart parks.

The power of 5G opens new opportunities for manufacturing upgrades. FET integrates Big data, AI and IoT technologies to build the first “5G Smart Factory” in Taiwan. We provide comprehensive smart manufacturing solutions from IT to OT, accelerating the progress towards Intelligent Manufacturing！ Features * 5G Private Network as a Service：Enhancing network security with MEC, seamless movement between buildings and flexible production with different industry I/O to 5G wireless network * AI Production Line Auditing：Manual process motion detection and intelligent control without omission * Smart Sensing：Real-time sensing of machine and pipeline abnormalities through flexible soft sensing patches * Enterprise Intelligent Cloud Center：Based on the “IT as a Service” concept to assist enterprise to build up Intelligence Cloud Center, which supports multi- services like virtual machines, virtual desktops, container and extension to the cloud

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

Handling abnormal complaints requires extensive experience and expertise. However, the resignation or retirement of senior employees often leads to knowledge loss, impacting organizational efficiency and competitiveness. Through vector models, Morale AI transforms unstructured data (such as emails, PDFs, and Word documents) into structured data and integrates it into databases, enhancing data usability. Multi-modal models combine diverse data types, including text and images, to systematically record and preserve experience. By leveraging Retrieval-Augmented Generation (RAG) technology and similarity search, the model can accurately categorize issues, identify the root causes, and recommend relevant cases, significantly reducing manual processing time and error rates. This systematic approach not only enhances response efficiency and enables real-time analysis and resolution of customer issues but also reduces repetitive work for employees, improving overall productivity and customer satisfaction.

The diagnosis of ADHD is based on the core symptoms appearing in DSM-IV or V criteria. In addition to the criteria, some physicians use checklists to assist the diagnosis of ADHD. However, either symptoms or checklists are subjective, which leads to diagnostic problem. In this product, data from the gyroscope and accelerometer in a smart watch were used to analyze the movements of children with ADHD. The children with ADHD and controls wore the watches on their hands simultaneously in class and compared the data from recorders for analysis. This method can help us to establish a objective tool for diagnosis and evaluation of ADHD.

The "Dosage Evaluation Method" applies AI technology to assess dosages for high-risk medications, using Vancomycin as an example. This method addresses limitations in clinical practice, where dosages are typically determined by physician experience or population pharmacokinetic parameters, which may not account for individual patient variability. Although several AI-based prediction models for dosage evaluation currently exist, most of these models directly suggest dosages, often without fully considering physician expertise. The innovation of this method lies in its approach to validating only the physician-selected dosage, providing reference feedback without influencing the physician’s final decision. This design not only respects the physician’s professional judgment but also enhances the safety of medication administration.

TECO develop Air conditioners base on the core vision of ” Energy Saving , Emissions Reduction, Intelligent Operation, Automation” in order to provide total AIoT solutions. Our residential air condition series apply “Smart maintenance system” which could inspect operation status/ collect data /diagnose issues and provide appropriated troubleshooting suggestions proactively and precisely. The system utilizes expert system not only solve issues but also initiate a tailor-made service plan in a shorter time with less manpower.

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

Wave guide photovoltaic energy harvest system provides 75% more power than traditional solar panel. Highly decreasing cost of maintenance and set up. Waveguide owns unique talents of easy shapeable, colorful, and scattering light collection, which can help PVs to be lightly integrated into devices and create an energy-smart sustainable future.

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.