airaTrack is a comprehensive personnel tracking system that utilizes AI algorithms developed by our team to extract features from both the "face and figure." It generates unique biometric IDs with a recognition accuracy of up to 99%, all without the need for registering facial data, addressing privacy concerns. Capable of cross-camera searches and matching 10,000 faces per second, it significantly enhances the efficiency of traditional manual matching processes and increases search efficiency and accuracy by 97% enabling automatic path tracking of personnel in the field. The system also generates investigation reports for evidential preservation.

By leveraging AI digital twin models, we predict KPI performance to support decision-making for backup machine selection, enabling energy savings and operational efficiency. Explainable AI is used to analyze the parameters influencing KPI, revealing that air compressor efficiency is strongly correlated with its shaft bearings, highlighting the importance of predictive maintenance for these components. Additionally, an intuitive dashboard visualizes the relationship between demand and supply data, facilitating real-time decision-making and responsiveness. With the integration of LLM Agents, users can communicate seamlessly with digital twins through natural language, enhancing usability and interaction efficiency.

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.

AQUAS Solution of high cost-effective smart monitoring for effluent water quality and flow volume. We provide an excellent product portfolio, including multiparameter water quality controllers, radar flow meters, and water quality analyzers, which can accurately and stably monitor the quality and flow of the effluent in the long term. Ensure the water quality compliance with the regulations and standards to reduce environmental pollution.

This exhibition is an atmospheric physical-chemical grid model for prediction of changes in air quality, utilizing data from the U.S. NCEP global weather forecast and regional air pollutant emissions. Local scientific investigation data has been used to adjust and calibrate the model and thereby largely improve the accuracy of the air quality forecast over Taiwan. The 3D display system enables us to understand the transmission processes of cross-border and local air pollution. The system is capable of simulating the changes in air quality over the next three days (72 hours) in Taiwan, with a temporal resolution of 1 hour and a spatial resolution of 3 km. The simulated data can be integrated with air quality data from the Civil IoT Taiwan, providing air quality forecasts every three hours (totaling 72 hours) for six metropolitan areas This system offers regulatory authorities up-to-date information on air quality trends in Taiwan, as well as critical data for formulating control strategies.

QuickInn provides mobile entry solutions for business users to manage their visitors in events/promotions/spaces bringing down 70% cost on wire deployment and 80% energy Saving when eliminating plastic card usage and getting rid of mainframe PC from the very beginning.

Traffic approach warning system is the combination of smart detectors and LED warning signs. The intersection is divided into detection lanes and warning lanes. Smart detectors are installed on the detection lanes. When a vehicle enters the detection area, the signal is transmitted to activate the LED signs on the warning lane to warn drivers to slow down in advance.

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.

The Ministry of Economic Affairs, Industrial Technology Bureau, has commissioned the Smart Sensing and System Technology Center at the Industrial Technology Research Institute (ITRI) to develop a "Composite Water Quality Sensing System." This system enables simultaneous measurement and detection of parameters such as Chemical Oxygen Demand (COD), Suspended Solid Concentration (SS), Copper Ion (Cu2+) concentration, conductivity, pH value, temperature, and more. Employing UV light sterilization, it inhibits the attachment and growth of biological films on the sensing interface, preventing interference with sensor accuracy and extending the sensor cleaning cycle. With a design incorporating water sampling, optimized power management technology, and reduced reliance on frequent manual maintenance, the system achieves long-term operational efficiency. It has been successfully applied in various settings, including industrial zones, aquaculture, chemical plating lines, metal electroplating industries, and landfill sites. The system provides intelligent wastewater discharge management and real-time monitoring of processes, meeting the demands of low-carbon management and waste reduction.

In recent years, the number of motor vehicle noise cases has increased, and it has been a concern for people in Taiwan. In order to protect the living environment and eliminate improper vehicle modifications, the Ministry of Environment has used acoustic camera technology for law enforcement since 2021. The system contains several scientific instruments, including a license plate recognition function that helps authorities identify noisy vehicles. Technology also improves inspection efficiency and quality of noisy vehicles. Existing roadside inspections require onsite noise measurement. The stationary noise test takes at least 20 minutes for each vehicle. Law enforcement using acoustic camera technology can simultaneously record videos, take photos, identify vehicles and complete noise measurements, to increase efficiency by a factor of 200. It is no longer necessary to use a large amount of manpower to carry out checks and inspections, greatly reducing labor costs. The Acoustic Camera equipment equipment used in this exhibition is provided by OE Scientech Co., Ltd. They not only supply fixed or mobile sound-based photography equipment to Taipei City, Taichung City, Chiayi City, and Changhua County but also have extensive experience in assisting with technology enforcement operations.

Vehicle Classification enables transportation authorities to automatically identify and classify vehicles according to their visual attributes. This technology finds widespread application in traffic management systems, toll collection, parking facilities, and security setups. FETCi leverages AI algorithms and machine learning methodologies to analyze video data collected through LiDAR technology. With an extensive database and repository, FETCi's AI AVC proficiently sorts vehicles into distinct categories, including cars, trucks, motorcycles, buses, and more. By integrating LiDAR technology with AI-powered image recognition, FETCi establishes a vehicle recognition system equipped with self-enhancement and deep learning capabilities.

Askey’s smart 5G private network is designed for enterprise customers to build a dedicated wireless network, which integrates highly efficient 5G Small Cells, advanced 5G CPEs, self-developed 5G Private Network Management Platform (AMP), ruggedized enterprise-grade 5G Mobile Computers and 5G Cameras, and has excellent features of Low Latency, High-speed Transmission, and Ultra-high Reliability, and key benefits of Low Total Cost of Ownership, Easy Deployment and Management, and Superior Performance. It can be applied to smart manufacturing, smart transportation, smart exhibitions, smart cities, and other fields. We can tailor the network environment and continuously optimize it for customers, hence help enterprises build their 5G private networks easily and realize digital transformation quickly.