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

Fire notification + Emergency notification video device Taiwan Secom Technology Group launched a combination of 119 fire notification device and emergency notification image system, integrated anti-robbery, disaster prevention,and video, through real – timeimage monitoring and recording the scene, to grasp abnormal conditions; 24-hour control service center Line, monitor the signal for abnormality at any time ; if there is any abnormal information, it is immediately transmitted to the 119 and 110 service centers to reduce disaster expansion; the communication host has automatic detection function, and the control service center immediately dispatches personnel to overhaul when there is a failure; a test button , At any time to check whether the system is normal, and automatically fax back to the test status.

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.

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.

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.

ORber Clinical Logistics connects to HIS and clinical systems to run 24/7 smart hospital logistics. Automated material transport and inventory management free your staff from manual tasks.

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

LIGHTSPEED is specialized in communication for 31 years up to 2025. All engineers has more than 20 years' experience in Modem, Router, 5G gateway, & LoRaWAN ChirpStack Gateway design. Product lines cover 5G,4G, 3G, WiFi 6,WiFi 7 router, Serial/IP gatway,, 4G/3G IP CAM, modem, 4G miniPCIe card, 802.11ah HaLow 4G gateway, LoRaWAN ChirpStack Gateway, WIFI 802.11n/g/b/ac/ax/be miniPCIe with USB interface, outdoor 5G +wifi router, tracker, 4G security guard/police video surveillance recorder and server, as well as cloud service. We also provide ODM/OEM service for special requirements, such as multi-SIM card failover system, multiple channel aggregation, cell tower tester..etc

In alignment with global sustainable tourism trends and Taiwan’s “2050 Net-Zero Emissions Pathway,” Nantou County launched the Nantou Sustainable Tourism Campaign (NSTC) in 2024 in partnership with National Chi Nan University. As the first local government in Taiwan to establish a comprehensive sustainable tourism framework, Nantou created NSTC as a platform for training, talent development, knowledge exchange, and strategic marketing to accelerate tourism transformation. NSTC is built on three core pillars. NSTC Talk enhances industry capacity through workshops, training programs, and forums. NSTC Criteria incorporates international sustainable tourism standards to develop localized evaluation guidelines and assess business sustainability maturity. NSTC Travel Guide promotes certified businesses and sustainable itineraries, encouraging responsible travel and green consumption. Through systematic carbon footprint assessments, Nantou has developed nine net-zero itineraries and twenty-three low-carbon routes, covering one- to three-day immersive experiences. These itineraries adopt the internationally recognized Gold Standard carbon offset mechanism to ensure measurable emission reduction. By integrating data-driven governance with green practices, NSTC positions Nantou as a leading model for sustainable tourism transformation and low-carbon regional development.

FET has long been investing in IoT application development and assisting Taoyuan City in becoming the first city in Taiwan to adopt a large-scale intelligent lighting system and LED street lamps. FET has also integrated 5G and AI technologies to launch the “5G Smart Pole” solution, offering a variety of smart application services and accelerating Smart City transformation. Features •Smart poles integrate digital signage, IP cameras, high-efficiency street lamps, roadside units, 5G small cells, and EV chargers. •Based on 5G Smart Pole Alliance standards.

Extreme rainfall events have increased the frequency of flooding, creating an urgent need for timely and reliable monitoring of urban drainage systems. The Smart Water Monitoring solution deploys water-level sensors and communication devices within stormwater drainage networks to ensure continuous data transmission. Through a centralized platform with real-time visual indicators, authorities can quickly identify abnormal conditions. This solution strengthens urban disaster resilience, reduces manual inspections, and improves overall operational efficiency.

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.