Due to the terrain of Taiwan, how to save water resources become one of the main topics that has attracted the public’s attention. Through the following water facilities, the public could get real-time query of water information. In the future, water alarms will be provided for the public to prevent water disaster. At the same time, it also makes water resources management more intelligent, which can not only save resources but also effectively control them.

Prof. Ming-Yen Lin’s Team – A Prediction Model for Type 2 Diabetes Complications Our research group develops a decision-support prediction model for type 2 diabetes complications using data from over 163,000 Taiwanese patients. Integrating age, HbA1c, and other dynamic factors, the model estimates long-term risks of major complications and mortality, visualizes future trends, and supports personalized care planning to improve disease management and outcomes.

Integrated production management system covering 4M1E. Features real-time data collection, digital Kanban visualization, and full traceability. Enables paperless operations and complete process transparency. 1. Real-time Monitoring: Connects equipment signals to display WIP, utilization rates, and yield data instantly. 2. Traceability: Records comprehensive production lot numbers and process parameters for quality auditing. 3. Smart Scheduling: Optimizes production plans based on capacity constraints and order requirements.

Under the theme “Economy Next,” the Ministry of Economic Affairs presents dual pavilions on AI and net zero, illustrating Taiwan’s vision for dual transformation. The Net Zero Pavilion showcases resilient green energy systems and low-carbon supply chains, while the Industries AI Pavilion highlights advanced technologies and smart applications that delivers concrete solutions across industries in hope of fostering collaboration opportunities with global partners.

-)Mainframe monitoring system, maximally supporting one million spots in real time. -)Smart loading balanbe for AOS -)Remote backup for AOS -)Adjudge amount of AOS as required, based on flexible structure. -)Central security management.

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.

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.

ITS traffic data collection has solved the laborious and time-consuming task of manually calculating traffic flow in the past. It aims to achieve the goals of smoother road conditions and reduced accidents through intelligent traffic diagnosis. By utilizing intelligent transportation systems, the system automatically tracks vehicles, identifies vehicle types, predicts trajectories, and transforms the data into useful information. This assists in real-time interpretation and improvement of traffic engineering. This system is particularly crucial in Taiwan, where over 60% of traffic accidents occur at intersections. Through big data analysis, identifying issues and formulating solutions is possible, thereby lowering accident risks. This approach proves more effective than simple advocacy and alerts.

-) Prognostics and Health Management -) AIR & Expert Assist -) AIR Design Builder -) AIR Quality Check -) AIR APPs in Cloud

With the rise of smart cities and cloud technology, building security has evolved from traditional surveillance to AI‑driven proactive protection. Our electronic perimeter security solution establishes an invisible defense through five layers. First, AI visual recognition performs human detection and skeleton tracking, filtering out non‑human interference. When individuals linger in sensitive zones beyond a set threshold, the system triggers initial warnings via speakers and lighting. Second, if a target crosses the virtual perimeter or enters restricted areas, the system instantly identifies illegal intrusion and pushes alerts and live footage to the control center or homeowner. Entering the active countermeasure stage, the system can lock access doors, activate outdoor lighting, and enforce tracking to isolate intruders. If threats persist, the highest‑level electronic deterrence is deployed: high‑decibel alarms to draw attention, intense strobe lighting to disorient intruders, and automatic connection to police or security services to secure external support within the critical response window. This integrated solution combines AI, cloud, and building facilities to deliver early warning, confirmation, and counteraction—greatly enhancing the safety resilience of smart buildings.

ITTS Smart Logistics Solution-AI Video Control Center, from the perspective of practitioners, uses a smart management system to help the logistics company master the three major information of people, vehicles and parcel. The main features are: APP-based mobile control, Smart phones can provide anytime & anywhere control capability  Dynamics Video + image real-time monitoring, real-time conditions of vehicles moving and stopping are clearly visible  Visualization of data reports, clear operational information such as fuel consumption rate and delivery rate at a glance  AI intelligent interpretation, real-time reminder for driving violation judgment, reduce the violation rate, and provide a safe driving environment The accumulation of AI machine learning can be extended to several aspects in the future:  For drivers-through driving behavior interpretation, the driver's condition can be found immediately to prevent dangerous driving; automatic routing suggestions to help novice drivers quickly get started and reach the level of mature delivery  The city management can share real-time road conditions images or video, reflect road level and post-disaster road conditions, and street management capabilities  Provide scientific and technological law enforcement capabilities to localities-image recording of license plate recognition can assist police units in investigating cases

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