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.

During WirForce 2024, the largest LAN Party in Asia, the Omada business networking solution provided full network support for 1,400 BYOC players. Over four days, the network handled more than 6,000 wired devices and 800 wireless devices, with total data traffic exceeding 1,800TB, demonstrating exceptional performance and reliability. Through the Omada centralized cloud management platform, network administrators were able to monitor network status in real time, rapidly identify issues, and maintain high-speed, stable connectivity throughout the event. Key components included EAP773 Wi-Fi 7 access points, delivering BE11000 ultra-high-speed connections and seamless roaming, along with high-performance L2/L3 switches supporting 10G throughput and PoE power to ensure stable data transmission under extreme traffic loads. An OC300 hardware controller enabled real-time monitoring and flexible network management. By successfully addressing the challenges of ultra-high density and massive traffic demand, Omada and WirForce jointly delivered a premium esports networking experience.

eLAND specializes in intelligent data enriched with AI analysis, offering solutions through a Software as a Service (SaaS) model. Our product series are as listed below. Cloud Services, including OpView—the largest social listening platform offering business insights in Taiwan; PeopleView—describing the target market with AI while enhancing value of the customer database; and ECView, which monitors products in real-time across global e-commerce websites. For Intelligent Data Solutions, we tailor AI to diverse business needs. This includes AI Search for EC, the next-generation search engine and tagging system specifically designed for e-commerce, and AI Search for KM, which Integrates generative AI, search engine, and NLP technologies to deliver knowledge search and knowledge QA services. Within the Search Engine and NLP, our in-house technology excels in processing billions of unstructured data while maintaining exceptional efficiency, to fulfill customer's needs in digital era.

MIRDC’s continuously Rotating Wind Turbine UAV Inspection System can effectively inspect the working wind turbine without interference. It takes 5 minutes to complete the inspection of a single blade to effectively detect 4mm small cracks. The system will not lose power generation by turning off the wind turbine, further observes the actual movement status of running blade structure and pillars to grasp the defects beforehand.

Far EasTone’s Traffic Signal UPS System ensures that intersections remain “lit and flowing” even during power outages. By integrating Far EasTone’s self-developed monitoring and management platform with smart batteries and signal controllers, the system can instantly track battery levels, utility power status, and device health. When an abnormality in the utility power occurs, the smart battery automatically takes over to keep the traffic lights operating normally. This enhances road and public safety while preventing sudden traffic disorder or additional carbon emissions caused by congestion. At the same time, battery and UPS data are sent back to the platform, allowing management units to detect abnormalities in real time and respond quickly—building truly stable and uninterrupted smart mobility for cities.

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.

MSA redefines the standards for firefighting, rescue, and industrial safety through the Internet of Things (IoT). The Smart Firefighting system integrates MSA M1/G1 SCBA with advanced telemetry technology to provide real-time monitoring of critical data, including cylinder pressure, remaining service time, and personnel movement. By leveraging the FireGrid cloud platform, all data is seamlessly transmitted to the command center, transforming traditional incident scene management into real-time digital decision-making. This solution significantly enhances operational efficiency and maximizes the safety of first responders in hazardous environments.

3. High-end line: full system is 307 or 316 stainless steel chassis. Model No.: AH6676D (316) - Successful Case: Installed at the perimeter of Taipower Plant, an offshore area. - Sony Starvis™ sensor with 2MP, 5MP resolution. - Different angle lens are available. IR LED range is up to 40 meter.

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

Integrating RPA, Generative AI, Machine Learning, and Process Management technologies, we provide manufacturing solutions to address supply chain communication, timely business delivery responses, on-site scheduling optimization, order insertion issues, new employee training, and corporate administrative problem-solving.

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.