QuickInn provides mobile entry solutions for business users to manage their visitors in events/promotions/spaces bringing down 70% cost on wire deployment and 80% energy Saving when eliminating plastic card usage and getting rid of mainframe PC from the very beginning.

“Chia-E Smart Patrol Car” utilizes AI image recognition and mobile edge computing technology to automatically compare license plate recognition results with stolen vehicles’ blacklist in real-time. If a match is found, patrol officers will be notified immediately by voice warning, so that they can stop the vehicle for investigation. By implementing technology, “Chia-E Smart Patrol Car” can improve the efficiency of investigation, maintain public safety, and maximize the effectiveness of patrolling.

AI智慧辦公室文件助手: 使用最先進的AI文件識別技術, 建立自動化文件處理系統, AI小幫手可替需求人員搜尋或自動生成所需要的文件。

The award-winning service application: 【Smart Campus - Smart Library, Healthcare Management System】to realize the independent management of school library and health care, it also greatly reduces the load on the schools’ administration, achieve the goal of sharing library and healthcare resources between teachers and students, through the collection and analysis of the big data in the background system, it will be more accurate for students’ recording values, AI predictive models can also help the govermant authorities the effectively assess and make the timely decisions, so far, all schools have been deployed and put into operation, benefiting about 25,000 teachers and students from 125 schools, the system is also launched simultaneously in all the Digital Opportunity Center (DOC), implement community cultural construction and connection; In future, we will continue to improve our services as a core: friendship between teachers and students, feelings between parents".

The Autonomous AI Surveillance Drone is a major innovation in drone technology, combining multirotor and fixed-wing capabilities. Utilizing white noise principles to enhance lift and efficiency, it enables high-speed flight and wide-area coverage, making it ideal for disaster response, border patrol, and other critical missions. Its core AI algorithm ensures reliability through real-time error detection. If anomalies are detected, the drone activates a safety mode, automatically returning or landing to minimize risks and maintain mission continuity. The flight control system integrates AI chips and edge AI technology, enhancing processing speed while reducing energy consumption for extended, efficient operation. These advancements enable stable autonomous flight even in complex environments.

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.

In the past, human operation and judgment were required, but now technology assists people in handling water distribution work. Set up water level or flow sensing devices in important water supply channels and transmit the collected data to the information management platform. Using online information or mobile APPs, water stewards can instantly grasp the field water distribution to achieve the goals of saving manpower and accurately allocating water. Taking the research results of the Jianan Irrigation District as an example, water stewards management can save about 20 to 25% of water by allocating irrigation water. If it is combined with Smart irrigation system, it can save another 5% of water. Currently, Water Resources Department, MOEA continues to cooperate with National Science and Technology Council, Ministry of Agriculture to gradually expand to 3,000 hectares in the Jianan Irrigation District and 3,000 hectares in the Kaohsiung Irrigation District, and gradually promote Smart irrigation and water-saving management technology.

Telemedicine consultations between clinicians and patients have become a trend to reduce infections. imedtac Telehealth Solution combines patient information, video and vital signs data into a single platform, making it easier to have virtual consultations with various specialists and to provide timely, specialized care to patients. The Smart Healthcare Station integrates several vital sign tests like height, weight, blood pressure, heartbeat, and temperature into one kiosk. Users can measure all the vital signs with iMVS, upload the vital signs data to the cloud, and even integrate the vital sign data cloud to the hospital information system or other platforms. The manager and the doctor can acquire users’ vital sign data through the solution, know the patient’s health status, and provide a better patient experience.

Wonder Greener believes “straws” should naturally be reaped from soil! We plant “Lepironia articulata”, a kind of water grass, and turn which into 100% green drinking straws with our patented low-carbon process of production; meanwhile, promoting multiple ESG values. A NBS (Nature-based Solution) for sequestrating CO2 is a critical methodology on global carbon-net zero pathway, and currently proved the best practice as well. Growing Lepironia is a kind of “No-till farming”, which means we don’t plow on soil. Without tillage, the potential of soil carbon credits would be huge. We assess the carbon emission of every straw would confidently be “negative” with our low-carbon process of production. Besides throwing back to the farms, the wastes of farming and manufacturing grass straws, and even used straws, can be efficiently recycled to make “Lepironia-algae Tableware” with innovative algae technology. We try to combine “yellow carbon” from soil and “blue carbon” from oceans to create totally bio-degradable and recyclable green materials.

Smart Network Management Software (NMS) – Cyber Monitor ● Provide the management ● Based on SNMP, it provides a single and friendly web interface for network admin clearly and easily to grasp the network situation. ● Automatically detect and manage network devices to monitor network performance. ● For network abnormalities and failures, automatically forward alarm reminders and dependency analysis to network admin in order to solve problems. ● Network devices are automatically discovered and managed, and the device list can serve as a baseline for inventory taking. ● Analyze network traffic to improve the visibility and management of network operation. ● Provide network security management under the SNMP architecture to avoid external malicious attacks and internal misuse. ● Flexibly define groups to improve the effectiveness of network management. ● Highly flexible and scalable, it can be customized according to the company's attributes and needs, therefore, strengthen the efficiency of network management.

The system developed by this project provides a smart solution for station including digital fence system, platform pedestrian flow analysis, animal tracking expelled system, track water situation analysis system and platform digital information signage. The platform comprehensively analyses the image of around the station, train coordinates, passenger entry and exit, and water depth etc. Which can be used for follow up review and improvement of abnormal events such as track intrusion, crowd congestion and road flooding to achieve optimal train operation configuration and class spacing control. And provide abnormal event warning and troubleshooting and passenger intelligence information services. After the integration of multiple subsystem through the IOC platform, the system will automatically alert an alarm to the traffic control center and announce the train near the area to remind the driver to pay attention to the situation and enhance the safety of the train and the people or cars in the area when the detection system alarms.

Leveraging on-site equipment, process steps, control settings, and product status, we enable abnormality detection, scheduling simulations, root cause analysis, troubleshooting, and actionable scheduling suggestions. Virtual measurement enhances MES data quality, boosting SPC alarm accuracy to 95%. By integrating MLOps and AutoML, we connect factory MES, SPC, WAT, and scheduling data to deliver precise abnormality predictions up to 8 hours in advance.