The Central Weather Administration (CWA) is the government agency responsible for earthquake monitoring and reporting in Taiwan. In order to reduce fatalities and property losses caused by earthquakes, a high-density real-time seismic network and the advanced earthquake early warning (EEW) system have been implemented and in operation. Currently, the CWA EEW system can issue the warning message in about 10 seconds after a strong earthquake occurring in or very near Taiwan. Starting from 2021, in order to further enhance the benefit of EEW to the practical earthquake hazard mitigation, the CWA has begun to develop the customized urban EEW system. By means of introducing the on-site earthquake early warning methods, and developing the artificial intelligence models. The systems, particularly for the big urban shallow earthquake, aim to further shorten the time of EEW to 7 seconds. That means it can give warning to the areas about 25 km away from the epicenter, and more people could be alerted before the destructive shaking.

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.

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.

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.

In view of the fact that generative AI will play a key role in the future smart medical care and bring many benefits and impacts, Huijia Health combines solutions from MediaTek and Microsoft Taiwan, to create the first dynamic health LLM "Generative AI Smart Care Assistance System". Huijia Health combines the Huijia nFOPT® 24-hour automatic room patrol system’s health databank with the "MediaTek DaVinci" generative AI service platform, and Microsoft Azure's high security, high privacy, and high compliance Cloud services, are planned to provide "Telemedicine", "Smart Consultation", "Smart Handover" and more "Generative AI Smart Care Assistance Systems" that will change the future.

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.

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.

Vertex’s team members have 25 years of experience in the mobile communication industry, and have a strong 5G mobile communication network technical team to provide E2E complete 5G private network construction services and solution, including: private network planning, private network application assistance, PN installation and construction, vertical application integration service, and system maintenance, etc. We also have consulting capabilities to assist customers in various industries to quickly import 5G private networks and related applications to increase corporate value. At present, it has experience in the actual construction of multiple 5G private networks, such as smart exhibitions Events and smart factories. Smart transportation, construction R&D, ORAN interface services, etc., can ensure the success of the project and implement the enterprise's goal of building a 5G private network.

By applying environmental sensing IoT technology and mobile sensors, the coverage of sensing can be significantly enhanced. With the analysis through AI algorithms, it assists governments in identifying potential sources of pollution for regulatory actions and pollution reduction measures. Meanwhile, supplemented by generative AI innovation technology, it achieves smart environmental governance.

The “MiAIOT x 5G Railway Safety Management System was developed based on MiTAC’s in house AIoT platform-“MiAIoT”, and will assist the digital transformation of Taiwan's rail industry in the future, including cloud-based train operating data exchange, real-time train warning system, AI equipment abnormality prediction, and feeding all these crucial information to a situation “war room”.

The Irrigation Agency has designated the Zhudong Irrigation Area in Hsinchu as a demonstration site for the construction of a smart irrigation system. This system integrates hydrological sensing components, IoT transmission, and remote gate control technology. Key control points along the irrigation channels have been equipped with water level sensors, remote gate control systems, and surveillance cameras, incorporating cost-effective, low-power, and highly weather-resistant sensing technologies. Irrigation managers can utilize water level sensors to accurately monitor changes in water levels along the irrigation channels. Coupled with real-time imaging, they can remotely control the opening and closing of water gates, optimizing water distribution management and reducing water loss during transportation. This approach not only enhances irrigation efficiency but also minimizes the time and labor costs associated with on-site operations, increasing flexibility in personnel allocation. In response to the growing frequency of extreme weather events due to climate change, the Irrigation Agency is employing smart irrigation systems to enhance the overall allocation of agricultural water resources, strengthen disaster response capabilities, and provide critical data for informed decision-making.

Shoku-AI integrates artificial intelligence (AI) to deliver systematic, automated adjustment solutions with quantifiable results. The system captures and applies engineers' adjustment expertise, combining it with quantitative result analysis to automate production parameter optimization. By leveraging engineering knowledge, Shoku-AI streamlines the generation of production parameters, significantly saving time and costs. With the addition of automated and intelligent adjustment capabilities, further time savings can be achieved through strategic equipment investments.