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.

Strong and Wise Materials Technology offers a solution for transforming textile waste into high-value products, promoting low-carbon sustainability and environmental protection. Not only does this solution address the pollution caused by textile waste in urban areas, but it also aids brands and the textile industry in managing over 90% of their textile waste. Through patented technology, we convert textile waste into high-quality recycled plastic (R-PET) particles for various recyclable plastic products. Additionally, we produce environmentally friendly green building materials (EF Wood) suitable for different environments, resolving issues associated with solid wood and plastic wood while creating a variety of wood-like furniture. All our products are 100% recyclable. Strong and Wise provides truly sustainable and circular solutions, generating renewed value from textile waste.

This project uses the 阡陌(QianMo) System, which drawing the road profiles, markings, signs, and signals based on the road geography data as a universal base map, to integrate cross-domain digital applications. Besides, 阡陌(QianMo) System has developed an application on mobile phone, through this application, user can complete the case opening, drawing, conversation recording, and photo-taking operations on-site, and convert the accident cases into collision elements in accordance with time, vehicle type, direction, collision type, and number of casualties. On the other hands, when handling improvements for accident-prone intersections, 阡陌(QianMo) System can overlay the elements to implement the collision composition analysis serves as a scientific proof and visualization tool for researching traffic improvement measures and explaining accident risk hotspots. Besides, after the subsequent engineering improvements, user can provide revision of road geography data as the feedback. Through this mechanism, which can achieve a digital governance cycle. Finally, through 阡陌(QianMo) System , this project integrates cross-domain applications related to police administration, transportation bureau, and engineering industry to improve driving environments and prevent traffic accidents.

In order to enhance the efficiency of irrigation water management in Hsinchu, the Irrigation Agency (IA) applies low-power sensors, remote control systems of water gates, and gate inspection systems to the irrigation management of the Zhudong Canal. The IA combines water gauges with the low-power NB IoT transmission module to monitor the real-time water level. Meanwhile, with the remote control systems of water gates, the real-time opening and closing of water gates can be operated through the "Platform of IA for Remote Monitoring and Management of Water Gates", making the operation of irrigation management more labor-saving and convenient. In addition, installing NFC tag cards allows to fill out the information and transmit the inspection results of water gates through an inspection APP, enhancing the efficiency of gate management.

Focusing on developing and enhancing green competitiveness, we aim to provide three key ESG digital transformation solutions for traditional manufacturing industries: a carbon inventory system, machine predictive maintenance, and electrical safety monitoring. By integrating Taiwan's 5G networking industry, IoT-related sectors, and information technology companies, we are collaboratively developing a 5G smart manufacturing AI-enhanced energy efficiency platform. Using real-world case studies, we aim to initiate innovative vertical application model cases for 5G and AIoT industrial safety. With an open and collaborative technology platform, this initiative seeks to establish a representative example of 5G and AIoT industry integration and clustering in Taiwan

Through Sensor Node, including water level sensor, rain gauge, data recorder and LPWAN transmission module, the system provides the information factors including water level , rainfall, inundation height inside and outside the water gate. Then transmit data to the back end system. The members in emergency center could do the best practices based on these crucial information

With 5G private network system integration provided by Wave-In Communication, Inventec is transforming its Taoyuan Factory into a 5G smart factory, creating highly intelligent and automated production lines with AI and IoT capabilities.

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.

Smart Safety Solution (During earthquake) P-WAVER works with partner to provide safety escape solution for people at home or at office through coordinated IOT device to deal with earthquake smartly in timely manner -Smart light guiding system -Smart broadcasting system -Elevator urgent stop system -Gas auto shutdown system These are already in service in some community, hospitals, arena, station, buildings.

The Automatic Sorting Machine uses AI-driven innovative technology to usher in new possibilities for future automation. Through precise sorting of waste, it enhances recycling efficiency and collects more valuable materials. Furthermore, this product can be customized according to the needs and characteristics of different factories. It helps customers increase processing volume and purity, reduce labor burden, and lower operational costs.

Combining with barometric pressure MEMS (microscale electro-mechanical systems) modules and low power characteristic, the sensor is suitable to monitor and measure water levels of drainage, sewer systems or inundation depths. Having high accuracy, low power consumption and lightweight, the product can be easily installed and maintained. It has the feature and functionality of acquiring real-time data from fields for further analyses, computing and modeling applications.

TextileGPT is an AI platform specifically designed for the textile industry, combining TNet's historical expertise and professional knowledge to accelerate product launches, reduce development costs, and strengthen knowledge transfer. Built on the TNet knowledge base, it provides intelligent dialogue capabilities enriched with industry-specific knowledge to address various challenges. The platform supports processing multiple data formats, including PDF, PPT, DOC, XLS, and web content, and features a user-friendly interface for quick adoption. TextileGPT aims to tackle issues like talent gaps and difficulties in knowledge inheritance, driving innovation and efficiency to enhance competitiveness, making it a key enabler for the textile industry's future development.