In order to save the use of natural resources, implement resource recycling and reuse, reduce processing costs and reduce environmental load. We use the recycling processing technology to transfer the remaining cutting materials of the ALC body, as well as industrial by-products and domestic waste resources (waste glass) back to the ALC raw material for use. Actual testing of the product shows that the reuse technology is feasible, the quality is stable, and the efficiency of waste reduction and carbon reduction is high. Now It has obtained the environmental protection label from the Ministry of Environment and the green building materials label from the Ministry of Interior.

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. Ming-Chung Chou’s Team – Intelligent X-ray Imaging System Traditional X-ray imaging depends on experienced radiographers to balance image quality and radiation dose. Automatic exposure control may misjudge patients with poor positioning or metallic implants, increasing radiation by about 20%. This study develops an AI-based X-ray imaging system with non-contact body thickness measurement. By integrating patient height and weight, the system automatically determines optimal exposure parameters, ensuring stable image quality while reducing unnecessary radiation and cancer risk.

Powered by AI, this platform provides businesses with compliance management, risk intelligence analysis, and data-driven sustainable supply chain resilience, enabling them to effectively manage their supply chains.

Feature •Automatic Gain Control (AGC). •Backlight Compensation. •Automatic White Balance. •Wide Dynamic Range (WDR) function with 120dB at 30 FPS. •Night noise suppression function. •Nighttime shooting with automatic aperture adjustment. •Stable image quality during low-light shooting at night under stable external light conditions, ensuring no flicker or color rolling, and clear nighttime images. Specifications •Uses a CMOS 1/3” Image Sensor. •MAX Resolutions：2MP (1920×1080 pixels)，D1 (640x480 pixels) •Maximum Frame Rate：30 FPS @1920×1080，30 FPS @640x480 •Focal Length：2MP lens ： 2.8-12mm±5%，D1 lens ： Fixed •Minimum Illumination：Color： Below 0.06 Lux，Black：Below 0.02 Lux.

This project is deployed in a large-scale fish farming area in southern Taiwan, where ponds are widely distributed and geographically fragmented, creating challenges for long-distance network connectivity and real-time surveillance. The solution utilizes fiber optic links as the backbone to ensure stable long-range transmission across the site. EAP610-Outdoor wireless access points are deployed to extend network coverage through a mesh architecture, effectively reducing the need for repetitive cabling. For surveillance, the system integrates an NVR4032H with InSight S345 and InSight S345ZI bullet cameras, delivering stable and reliable video transmission. Combined with PoE switches, this solution establishes a flexible, efficient, and reliable network and intelligent surveillance infrastructure tailored for aquaculture management.

EdgeLink-X is an AI-driven heterogeneous edge-network platform built to provide resilient, low-latency connectivity for intelligent transportation and railway environments. The system forms a multi-layer architecture that unifies field communications, sensing, video capture, and edge analytics into a reliable and adaptive communication framework. At the field level, IP110H and IP503H Lite IP radios deliver instant voice communication and group coordination for frontline personnel. Sensors and cameras are connected through the AG260 AIoT Gateway, while the AS710 Wi-Fi 7 indoor access point provides high-quality Wi-Fi coverage in stations, platforms, and passenger areas to enhance traveler connectivity. Long-range, time-synchronized backhaul is supported by the SP250 Series, ensuring stable, high-throughput wireless links across trackside and outdoor environments. At the core, the zMEC edge-computing platform performs real-time AI video analytics, abnormal-event detection, and rapid data distribution to minimize latency and support mission-critical responses. By integrating Wi-Fi, LTE, 5G, PTP wireless backhaul, and AIoT devices into a single cohesive system, EdgeLink-X enables applications such as slope monitoring, intersection intrusion detection, pantograph spark/wear monitoring, and onboard operational visibility—forming a robust foundation for next-generation safe and intelligent mobility.

"Hualien AI Agent: 24/7 Digital Travel Hub" is a smart solution specifically designed to enhance urban resilience and boost traveler confidence. Built on the LangGraph architecture and integrated with multiple Large Language Models (LLMs), the system utilizes Natural Language Processing (NLP) to precisely understand user needs. It supports over 20 languages, providing authoritative information ranging from local culture to real-time post-disaster traffic updates and safe routing. As the first AI Agent in Taiwan capable of proactively calling multi-source real-time APIs across various government departments, it combines LBS (Location-Based Services) with a professionally maintained RAG authoritative knowledge base. This allows the system to push precise safety alerts and personalized itinerary recommendations to users. Through deep OMO (Online-Merge-Offline) integration, the service extends from digital platforms to major transportation hubs, visitor centers, and local businesses. It not only demonstrates the resilience of digital governance but also fully empowers the tourism industry to accelerate its recovery.

-)Data Collections -)Real-time Monitoring -)Decision Analysis -)Data Visualization Increase Capacity, Raise Efficiency, Cost Down

A large number of commercial data are collected through object sensing technology, and the cloud-based visual interface and telecommunication operation surface data are used to assist enterprises to remotely manage the electricity consumption of buildings, manufacturers, business locations, and various branches in real time.

Knowledge management solution receives another level! Integrating Generative AI, Search Engine, and NLP technologies, AI Search for KM produces precise and customized responses, offering users a better experience in knowledge search and QA services. We integrate Generative AI and intelligent Search Engine for knowledge management, assisting in the digital transformation of enterprises and enhancing productivity. Solving pain points encountered by technicians and aligning with user application needs.

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.