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.

1) Automatic Notification System 1. Consolidate the IOT info from various sensors, as well as history of user behaviors 2. Big Data Analytics & AI-enabled recommendation engine: Send delivery notice or abnormal alert 3. Push mobile APP message to User and Operator 2) Electronic Ordering System (Customized) 1. Planed delivery schedule service, user confirmed the delivery time, system automatically plans routing and deliveryman 2. Delivery schedule: Push individual mobile APP message to each deliveryman 3) Cylinder Management System (Customized) 1. Cylinder barcode APP scanning, Deliveryman scan the barcode and upload to cloud system 2. Automatic notification mechanism for expired cylinder 3. Data Analytics & Statistical Report 4) Safety Reporting System 1. LPG safety sensors: Including gas detector, Solenoid Valve, pressure switch and UVIR Flame Detector 2. IOT-BOX showoff Solenoid Valve and reporting 3. Push mobile APP message to User and Operator for emergency response 5) Cloud ERP System (Customized) 1. Modular management system: Accounting, Administrative, Financial, Procurement, Human Resource, inventory, Customer Service and sales management 2. Data collection, Analytics & Statistical Report

Specially for micro parts with a diameter less than 2mm, the CMHT is equipped with integrate automatic feeding system, automatic monitoring and carburizing quenching furnace for real-time adjustment, innovative oil tank, collecting device and intelligent digital services. It provides the heat treatment industry with customized, intelligent production solution. Its advantages are as follows ‧ CMHT has 100% collecting rate (50~60% for traditional equipment), 99% yield rate (50~65% for traditional one). ‧ CMHT reduces heat treatment schedule from 30 days to 2 days only. Based on demand, CMHT can rapidly replace process modules to substitute whole traditional heat treatment equipment and price of CMHT is only half of traditional one. ‧ Introducing intelligent digital service function, CMHT transforms experiences of traditional equipment into data decision, reduces reliance on human experiences, sets up industrial IoT solution and provides heat treatment industry with smart manufacturing via cloud services. ‧ Won the international honor of R&D 100 Awards and Edison Awards.

This project integrates cable TV systems, Civil IoT, and AI video recognition technology to build smart disaster prevention and site safety services. Centered on set-top boxes (STB) and intelligent sensing, the solution focuses on bridging the gap in real-time information and safety protection for elderly and rural populations. Through its wired network infrastructure, the system developed under this project is capable of delivering real-time disaster prevention information, including earthquakes, typhoons, and heavy rainfall alerts. In addition, AI-based recognition capabilities have been integrated into the system. Currently, the system has completed event recognition functions such as parcel placement and retrieval detection. It also performs analysis of human movement trajectories and abnormal group behavior detection. In the future, the system will be further expanded to identify dangerous situations such as violent behavior. Through this project, Taiwan Optical Platform (TOP) demonstrates the potential of integrating cable television networks with AI and IoT technologies to develop a platform for smart disaster prevention and public safety applications.

Empower your business across critical domains—operations, HR, legal, finance, customer service, recommendations, health education, and equipment management. By integrating Generative AI with advanced knowledge management, we transform how enterprises manage real-time monitoring, dynamic insights, intelligent Q&A, data visualization, text recognition, and content creation. Our solution reduces human error, eliminates redundant tasks, and streamlines complex processes—paving the way for true business process reengineering. Experience faster decisions, smarter workflows, and a future-ready enterprise.

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.

Dr. Hung-Lung Lin’s Team – An Auxiliary Assessment System for Coronary Heart Disease Identification In response to population aging and the younger onset of coronary heart disease (CHD), this study develops an AI-based auxiliary CHD screening system integrated into a mobile app. Grounded in traditional Chinese medicine tongue–heart theory, the system analyzes sublingual vascular images using reflection removal, image segmentation, and a multi-head attention deep learning model. Users can obtain accurate, reproducible screening results and health recommendations within 7–20 seconds using only a smartphone, enabling convenient and cost-effective preliminary CHD assessment.

"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.

This solution integrates AI technologies with IoT sensing devices to support intelligent operations in public facilities and industrial environments. The AIoT monitoring and analytics platform collects real-time equipment and environmental data, enabling analysis, early warnings, and remote management. By transforming data into actionable insights, the solution enhances operational efficiency, system reliability, and data-driven decision-making for facility management.

With the emergence of technologies such as 5G, the Internet of Things, Artificial Intelligence and Cloud Computing in recent years, the server industry has experienced explosive growth. In line with the two major trends of "software definition" and "open standards," private industry and governments are collaborating to promote numerous high-tech research projects and the development of critical technologies. As the cloud industry chain continues to evolve, the annual power consumption of data centers, which are made up of numerous individual servers, increases greatly. Consequently, the effective thermal management of servers and data centers has become an increasingly crucial issue.

The EUP Fleet Management System integrates ESG management, providing visualized reports and big data analysis to accelerate communication between the supply chain and transporters, ensuring effective ESG management and achieving carbon reduction goals. Through AI big data analysis, it automatically provides green ratings and compares carbon emissions with industry peers, enhancing market competitiveness and brand image. Additionally, cloud-based, digital, and automated management enables enterprises to easily monitor fleet emissions and develop carbon reduction strategies.

EZESG by Trade-Van Information Services Co. helps enterprises systematically complete organizational greenhouse gas (GHG) inventories in accordance with ISO 14064-1, strengthening carbon management and enhancing transparency in information disclosure. The system enables rapid establishment of an emissions source database by integrating data from energy consumption, raw materials, and operational activities. Through AI-powered OCR, it automatically identifies information from utility bills such as fuel, water, and electricity. It also incorporates Google Maps mileage calculations and taxi carbon emission models to estimate emissions from transportation activities. With built-in intelligent calculation models, the platform automatically consolidates Scope 1, Scope 2, and Scope 3 emissions data, reducing manual errors while improving data consistency and reliability. The system also supports one-click generation of GHG inventory reports and supporting documentation, simplifying procedures and shortening preparation time. Through digitalization and intelligent management, it helps enterprises respond to international regulatory requirements and steadily progress toward net-zero emissions and sustainability goals.