Taichung City has deployed 1,220 air quality sensors, utilizing IoT and AI learning, along with a geographic information system to visually present real-time sensor monitoring data.By leveraging big data analysis, pollution hotspots and peak pollution periods are identified to assist environmental agencies in smart law enforcement. Additionally, cross-department collaboration is implemented for environmental governance, employing intelligent technology management for air quality control. The integration of unmanned aerial vehicles (UAVs) further enhances pollutant sampling efficiency.

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!

"Data is your superpower" – GoEdge.ai products simplify tedious document handling and process automation, transforming scattered information into AI-accessible knowledge. With the Bilocation Pro system, you can effortlessly build a dedicated corporate knowledge base, integrating internal documents, audit standards, material compliance requirements, and quotation logic. Every piece of data becomes a driving force to boost efficiency and accuracy.

This product addresses issues faced by physicians in assessing fistula blockage, including the lack of quantifiable measurements, high costs of precise assessments, and lengthy measurement times. By using patented audio equipment and a proprietary AI model, this product enables accurate assessment of fistula blockage levels, transforming what was once a time-consuming, labor-intensive, and experience-dependent task into an efficient and reliable process.

Our team has built predictive models based on whole transcriptome data from patients with advanced metastatic prostate cancer, focusing on two different mechanisms of action: androgen receptor antagonists and androgen synthesis inhibitors. These two types of drugs essentially offer only one chance of selection, as resistance to one renders the other ineffective. Using weighted gene correlation network analysis, we identified several gene modules correlated to specific drug responses. Then, we combined several machine-learning algorithms and constructed classification models for different drug mechanisms. Our goal is to use detection services to determine the most effective drug for patients before administration.

Embracing sustainability, Slimca Here introduces an ultra-thin rechargeable system compatible with USB-C. No need for wasteful disposal when the power runs out – simply recharge with ease using a standard USB-C cable.

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.

The technical solution of Foxtron Electric Bus combines domestic and international resources, each contributing its strengths： 1. It adopts Foxtron's self-developed VCU software, integrates and develops the EEA architecture for electric buses, and utilizes motors, batteries, and chassis suspension systems from international major manufacturers. In collaboration with domestic manufacturers, Foxtron designs and develops dedicated low-floor bus frames for chassis cooperation. 2. In the product design of electric buses, Foxtron identifies pain points in traditional buses and improves upon them. For example, traditional buses often have issues with rollover protection and numerous blind spots, as well as differential wheel rotation caused by wheelbase, leading to frequent traffic accidents due to visibility problems. To address these issues, Foxtron employs Computer-Aided Engineering (CAE) and NVH (Noise, Vibration, and Harshness) analysis to verify the design of various systems and components. This ensures the overall strength of the vehicle body and chassis, enhances passenger safety, and incorporates features such as panoramic image display and an electronic wide-angle rearview mirror with a blind spot detection system to solve driver blind spot issues. Additionally, to alert pedestrians and other road users to the risk of differential wheel rotation, Model T projects prominent light beams onto the ground during turns, marking the danger zone.

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.

The Autonomous AI Surveillance Drone is a major innovation in drone technology, combining multirotor and fixed-wing capabilities. Utilizing white noise principles to enhance lift and efficiency, it enables high-speed flight and wide-area coverage, making it ideal for disaster response, border patrol, and other critical missions. Its core AI algorithm ensures reliability through real-time error detection. If anomalies are detected, the drone activates a safety mode, automatically returning or landing to minimize risks and maintain mission continuity. The flight control system integrates AI chips and edge AI technology, enhancing processing speed while reducing energy consumption for extended, efficient operation. These advancements enable stable autonomous flight even in complex environments.

The cleaner the sorting of recyclables in the resource circulation process, the higher their reusable value. We leverage the most advanced AI vision recognition technology to introduce innovative applications into existing production lines. Our systems automatically inspect the targets to ensure the purity of sorting, thereby increasing the reusable value and maximizing profits for the factories. By collecting and training with actual production line image data, we continuously update the dataset to handle various compositions of recyclables. Our vision recognition equipment features low-power hardware that can be easily and simply installed onto existing production lines. Additionally, we can create diverse labeling data for various recyclables.

Taiwan SECOM “Smart City Safety Solution” including: 5G high-speed network transmission, road safety monitoring, real-time analysis of traffic flow and vehicle types, parking violation analysis, license plate recognition, traffic flow analysis, smart parking, air quality detection, personnel positioning and push Notification, e-paper information board and IoT integrated system platform. The platform's principal IOC monitoring and management, Open API interface, and know-how for dispatching services are integrated with multiple subsystems through the back-end management platform. When the system is abnormal, it can be quickly reflected and subsequent disposal. Significantly reduce personnel monitoring and management costs. It will also actively monitor the normal status of the equipment at usual time, when abnormal maintenance, always keep the system equipment running normally, improve the system equipment rate. Meanwhile the new way of operation of the smart city is establishing.