The Intelligent Video System (IVS) from Chunghwa Telecom is the total surveillance solution which contains live video, history playbacks, AI recognitions, and smart solution integrations. We have been servicing government and enterprise customers for years and have helped police department to protect citizens in Taiwan. Furthermore, we can provide valueable AI recognitions information to enterprises for data analyses to develop new business opportunities.

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.

Robotiive is an AI Computer Vision powered Industrial automation (RPA) solution that builds the foundation of your smart factory. By automating manufacturing processes and workflows, upgrading your legacy equipment, and reducing human workload, it builds upon your existing systems and ensures nothing is left behind in the age of digital transformation.

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.

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.

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.

Civil IoT Taiwan is part of the government’s Forward-looking Infrastructure Development Program under the Digital Construction initiative. With the collaborative efforts of the National Science Council, Ministry of Environment, Ministry of Economic Affairs, Ministry of Agriculture, Ministry of Transportation, Ministry of the Interior, Ministry of Digital Affairs, and Academia Sinica, the project is jointly executed across departments, prioritizing four key areas: air quality, water resources, earthquakes, and disaster prevention and response. By leveraging artificial intelligence and IoT technologies, various smart living services are developed to assist the government and the public in jointly addressing the challenges brought by environmental changes. By combining the innovative power of industry, academia, and research, the project aims to develop the IoT industry ecosystem and export solutions internationally.

FuniWood AI+ 8K 3D Content Production Center，including the following solutions： 5G + 8K three-dimensional immersive content production center solution 8K stereo content shooting solution (including stereo camera, real-time monitoring system) 8K three-dimensional live broadcast solution (including multi-channel broadcast hardware engineering, multi-channel signal live broadcast system, real-time special effects system) 8K stereoscopic scanning solution 8K stereoscopic content post-production solution (including solving, sewing, retouching, and special effects processes) 8K three-dimensional metaverse interactive special effects mechanism solution (Unreal & Unity) 8K three-dimensional virtual studio solution

Smart Public Transportation System: Intelligent Vehicle Infrastructure, Intelligent Bus Stop, Advanced Driver Assistance System, and Real-Time Bus Information System

Remote expert video collaboration solution uses AR smart glasses to transmit onsite situation to the remote technical experts with high-definition real-time video, and guide the on-site engineer to troubleshoot and repair the fault from the first-person view perspective and free their hands. This is not only improves maintenance efficiency, but also ensures safety. It also achieve the sharing and inheritance of expert resources and high cost of traveling on site. When encountering difficult situations, multiple technical experts can also be invited for consultation. Experts can provide real-time multi-party HD video guidance with the on-site engineer, whether on PC or smartphone, to jointly solve technical issues and reduce downtime losses.

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 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.