Through matchmaking of public and private forests, enterprises can acquire forest-related data through hosting mechanisms. This includes metrics such as survival rate, tree height, carbon sequestration, and corresponding SDGs (Sustainable Development Goals) indicators. Leveraging deep learning and image processing technology, CoCoTree transforms trees and forest landscapes into data, providing customers with highly accurate forest information. This includes metrics such as carbon emissions, tree growth status, and changes in the ecosystem.

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.

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.

IISI has a number of solutions for smart image processing, the main application areas are smart transportation, smart disaster prevention, security monitoring, etc. The main products include iTrafficView and iSurveillance. iTrafficView is a server-based image recognition detection system that receive real-time video streaming from on-site network cameras and instantly performs image recognition and event detection to provide monitoring services immediately. Furthermore, the system records related identification and detection data for consecutive statistical and analysis procedure. The advanced hybrid DVR and intelligent management platform offers a one-stop solution to enhance both analog, digital, and IP convergence. "iSurveillance" is an intelligent Hybrid DVR that supports analog and IP cameras. It applies the ASF compression for efficient data management, flexible and compatible with various brands of surveillance devices.

Smart service robot Ayuda is the latest fourth-generation robot released by Syscom Computer. Ayuda provides more convenient service functions for corporate and government customers. Ayuda is 100% Made in Taiwan (MIT) and integrates robot components, mobile platforms, facial recognition, human detection, voice recognition, voice and video chat, self-learning map search and navigation, and much more. Aydua stands above the competition. Syscom continuously analyzes expert knowledge and experience from many industrial sectors including policing, retail sales, banks, hospitals, large-scale exhibition spaces and events, government, and the public sector. Through AI robot services, we assist people and provide customized intelligent services. Ayuda is also working aborad, at CIJ Corporation of Japan, and has appeared on NHK TV, Kanagawa TV, and Shijiu News. Product features 1. Customized hardware 2. Customized software 3. Ergonomic design that’s convenient for operation, allowing adults to easily operate 4. Primary functions include: indoor indexing navigation, facial recognition, voice chat, ticket printing, remote control, video conference, automatic charging, medical face mask detection, body temperature detection, product promotion, AI big data product recommendations, mobile payments, QR CODE scanning, slow signing and receiving medicine.

Prof. Chia-Hsin Chen’s Team – An Innovative AI-Powered Tongue Vibration Training System This project develops an AI-driven tongue vibration training system for dysphagia and obstructive sleep apnea. It combines a safe, adjustable tongue device, AI motion tracking with real-time biofeedback, EEG-based cognitive monitoring, and AR-based gamified training to deliver personalized, engaging, and data-driven rehabilitation.

【Smart Medical - Smart Cloud Rescue System】:Online pathology data helps emergency ambulance services and professional care in hospitals , it also break through geographical restrictions and share medical resources.

The Qualcomm Insight Platform (QIP) delivers an end-to-end video intelligence solution powered by Qualcomm Technologies’ industry-leading on-device AI. It provides centralized video intelligence management across diverse sources and leverages real-time edge AI analytics to reduce latency and accelerate decision-making. A built-in multimodal AI engine integrates image, speech, and text capabilities while optimizing performance, security, and total cost of ownership (TCO) for stable and highly scalable deployments. Paired with Innodisk’s edge AI box and IP cameras, QIP enables high-efficiency real-time edge analytics, supporting multimodal AI and natural language search while integrating seamlessly with existing infrastructure. It enhances worker safety, optimizes logistics processes, and strengthens restricted area management, helping organizations improve operational efficiency and risk control. The platform transforms surveillance into actionable security and operational insights with built-in privacy and compliance while ensuring data privacy and regulatory compliance. It is suitable for smart cities, manufacturing, energy and utilities, warehousing and logistics, retail and commercial spaces, healthcare and education, transportation, as well as enterprise and building management scenarios. * Qualcomm branded products are products of Qualcomm Technologies, Inc. and/or its subsidiaries. Qualcomm is a trademark or registered trademark of Qualcomm Incorporated.

A-MTK has extensive experience across diverse CCTV environments and understands the challenges of outdoor parking lots, where terrain, power availability, and network limitations often restrict the deployment of complex hardware or large sensor arrays. To overcome these constraints, A-MTK developed a solution centered on advanced image recognition: Single-Camera Multi-Space Recognition, combining high-resolution ultra-wide-angle IP cameras with AI analytics software. In a typical 20 m × 15 m parking area, a single ultra-wide-angle camera mounted at 4 meters or higher can monitor the entire space. Smart counting software accurately calculates vehicle occupancy, while digitally mapped parking stalls can integrate with third-party platforms to enable real-time parking guidance. This solution is well suited for highway service areas and large outdoor parking facilities, offering key advantages such as lower deployment cost, reduced maintenance needs, and high flexibility across varying site layouts. Beyond technical innovation, A-MTK reflects the social responsibility of trusted domestic brands by delivering efficient, reliable, and locally optimized smart parking solutions for modern cities.

Far EasTone Telecommunications (FET) is committed to corporate sustainability and net-zero transformation. By integrating telecommunications with digital technologies, FET helps industries and society reduce carbon emissions. In the public building sector, FET is developing integrated solutions for “Net-Zero and Disaster-Resilient Energy Storage.” Combining net-zero strategies with Energy Management Systems (EMS), FET deploys renewable energy, energy storage, and smart energy-saving mechanisms. This approach balances carbon reduction with power resilience, supporting the public sector in enhancing sustainability and disaster preparedness. A key achievement is the National Taiwan Ocean University (NTOU) Gymnasium project, where FET implemented an advanced energy management platform integrating power monitoring, smart HVAC control, and renewable energy with storage systems. These efforts improved energy efficiency, provided a model for transitioning public buildings to net-zero, and earned the client Level 1+ Green Building certification. Looking ahead, FET will continue investing in net-zero buildings, energy storage, and resilient energy systems. Through collaboration with government, academia, and industry partners, FET aims to accelerate Taiwan’s progress toward sustainable development goals, advancing both net-zero emissions and disaster prevention.

There are increasing demand for self-service and remote-control devices.Besides safety reason, it is also easier for customers to purchase tickets and obtain travel information, plus the added benefits of time saving and convenience. MiTAC’s Smart ticketing solution for tourism was implemented at “Hạ Long Bay” in Vietnam. Passengers can use self-service devices, such as the Ticket Vending Machines, kiosks and POS to purchase tickets, place orders, arrange trips and inquire for additional information. The operators can also utilize automated devices and information system to reduce human resources investment, strengthen operational efficiency, and improve service quality. In addition, the operators can utilize the data collected for big data analysis for precision marketing in the future.

Criminal and street violence cases will affect and cause panic to citizens. In order to diminish street violence cases, reducing the time to solve these cases, protecting citizens’ lives and properties, and allow citizens to live without fear, the Kaohsiung City Police Department (KCPD) built the “3D Street Violence Early Warning, AI Intelligence Collection and Integration Platform” (hereinafter called “the Platform”). The platform utilizes the Internet of Things (IoT) to combine AI image recognition and sound sensing technologies for cross-domain big data analyses. KCPD established cross-platform data interfacing and integration, mainly through “data integration” and “network analyses” to collect with the municipal government’s transportation bureaus and social bureaus; and import existing data from the KCPD data platforms. The Platform will, through web service API, (a) retrieve data built by information systems, (b) conduct big data analysis, aggregate applicable intelligence data and present it in the form of dynamic information, (c) Integrate all information and display it as maps and topologies, improve case handling efficiency. According to KCPD employees’ query, they can adjust factor weights and relationships. Analyze the results based on rational mathematical models and professional case-handling concepts, so that intelligence analysis goes beyond the limitations of platform developers and allows criminal police to maximize their capabilities.