P-Waver Inc. is the global leader of AI on-site earthquake early warning system and structural safety monitoring system, providing earthquake early warning before earthquake, intelligent disaster mitigation measures, and structural safety monitoring after earthquake.

-)Mainframe monitoring system, maximally supporting one million spots in real time. -)Smart loading balanbe for AOS -)Remote backup for AOS -)Adjudge amount of AOS as required, based on flexible structure. -)Central security management.

Wearable laser therapy device combines with BLE and cell app to become the world’s first AIOT laser therapy device. Due to it is compact and easy to carry, cell phone app can text the users to use the protocol on time based on his using habits at any time and anywhere, which becomes a new helper of rehab in home-based medical programs and precision health.

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.

Smart G4O Quick Map Platform Technical Features • Web GIS Studio WYSIWYG(No code/Low code) interface for accelerated design workflow. • Seamless 2D/3D Immersive Digital Twin applications. • Integrated Multi-Service Support Compatible with OGC, ArcGIS, and MapGuide spatial services. • Advanced GIS Layers Built-in layer settings and searching mechanism for autonomous management. • Component Expandability Supports AR, AI, and other application modules to enhance functionality and application scenarios. • Interactive Map Dashboard Real-time synchronization of IoT data with map areas, suitable for dashboards. • RWD+PWA Design Mobile-first approach with smart tables ensuring high readability across devices. Supports cross-platform access and offline spatial data and map.

***E-Paper-like : it can retain the display even after power outage. **Battery + Solar : Power backup design **power saving up to 95% : Compared to traditional LCD and LED displays *24.5” Reflective Low-Power LCD : Visible under Intense Sunlight *Secure Access Module (SAM) : Zero Trust Architecture International Standards NIST SP 800-207

5G + 8K 3D XR OTT Platform 5G streaming service solution (including 8K stereo content streaming player, content compression solution) 8K three-dimensional metaverse platform solution (voice chat, lottery game, bounty interaction, media placement, mall) 8K three-dimensional metaverse interactive mechanism development plan (Unreal & Unity) Player solution: cross-platform integration of various 5G headsets (including live broadcast), exclusive authorized development rights

“FiduciaEdge Medical Information Guard System” is designed for P2P secure transmission between medical institutions, achieving high levels of privacy, accuracy, security, and real-time medical information transmission. It aims to address the current inadequacy of real-time sharing of cloud-based medical data and accelerate real-time exchange of medical information in emergencies. Additionally, the patented "T-REE Technology" ensures the security and privacy of data during the exchange process. Through the FMIG system, all cross-hospital medical data exchanges are carried out in a dedicated secure environment, where de-identification, data encryption, special format packaging, and other security mechanisms are performed. The data is then transmitted securely to partner hospitals using a zero-trust model, allowing them to use and provide cross-hospital services without the risk of violating patient privacy.

The Track Safety Management System is primarily aimed at addressing safety concerns along the track. It provides real-time monitoring, statistics, and detection-triggered alerts for trackside environments including stations, level crossings, along the track, and slope areas. The goal of this management system is to establish early warning alerts and prevent accidents from causing damage. Through the intelligent AIOT recognition monitoring system, it detects and analyzes station pedestrian traffic, tracks pedestrians at level crossings, identifies passing vehicles and traffic flow, detects foreign objects at level crossings and activates alarms, monitors personnel lingering and debris along the track, conducts rockfall monitoring on slopes with a rain gauge, monitors the environmental conditions in equipment boxes, and oversees the operation status of level crossing equipment. The monitoring data and image information are transmitted to the management system platform for integrated management via fiber-optic networks, NBIOT, or mobile communication. Additionally, it provides central management personnel with real-time interpretation and remote control in case of anomalies.

Enables real-time patient monitoring, personal big data analysis, and machine learning for future AI Medicine applications.

High uric acid has become the fourth highest after the three highs, and it has begun to trend younger. If uric acid rises, the body will suffer. RedEye's urine uric acid detection technology has been published in international academic journals and cited in many documents. This allows us to get the test results at home, without needles, in just 3 seconds. Pay attention to uric acid every day to keep us away from the risk of gout.

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.