1. Economic line: outdoor bullet IP cam. Model No.: AH65C6D - Successful Case: Installed in "Taoyuan Shalun Industrial Zone" for offshore. - Sony Starvis™ sensor, 2MP, 5MP, 4K resolution available for selection - Different angle lens are available. Smart IR LED range is up to 30meter. - Edge AI including person detection as virtual fence, vehicle Detection - Aluminum die-cast chassis with stainless steel screws. IP68 certification and base on project requirements to provide salt corrosion resistant treatment on casing.

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.

Multi-payment bus validator takes smart card, mobile payment for bus fare. The transaction data transfer through designated channel to the backend system, smart card issuers, mobile payment operators to perform clearance process. All the validators comply with operation standards and receive certification from smart card issuers, mobile payment operators and TTIA.

AI Smart Office AI Model Training Assistant: Use the most advanced AI model training technology to establish an automated AI model training processing system. The no code interface allows the AI ​​multi-modal model training assistant to provide education and training for the company's AI technology developers. As well as the simulated environment and output-related AI models.

Vehicle Classification enables transportation authorities to automatically identify and classify vehicles according to their visual attributes. This technology finds widespread application in traffic management systems, toll collection, parking facilities, and security setups. FETCi leverages AI algorithms and machine learning methodologies to analyze video data collected through LiDAR technology. With an extensive database and repository, FETCi's AI AVC proficiently sorts vehicles into distinct categories, including cars, trucks, motorcycles, buses, and more. By integrating LiDAR technology with AI-powered image recognition, FETCi establishes a vehicle recognition system equipped with self-enhancement and deep learning capabilities.

AIGym is a retraining equipment supplier that provides AI intelligent technology and digital weight modules. Through intuitive exercise measurements to create personalized exercise models, scientific training programs can be easily completed by users, and data comparisons can be made to track the results. Provides eccentric, general and ageing training modules, suitable for gyms, corporations, rehabilitation units and community centers. Rental or purchase options are available, and the software modules meet different needs.

This project establishes a 5G private network in rural Tainan schools, introducing AR/VR gamified English teaching. Students engage in scenario-based games, simulating English conversations in virtual reality, fostering entertaining and interactive learning. The curriculum incorporates famous global landmarks and utilizes AR technology for checkpoint missions, enhancing student interest. Beyond English education, the initiative collaborates with the National Palace Museum, integrating AR/VR historical artifacts. Using 5G streaming, historical content is seamlessly integrated into campus teaching. The project not only enhances learning outcomes in rural junior high schools, reducing the urban-rural digital gap, but also has the potential for nationwide expansion. Through cross-disciplinary collaboration, it drives the development of both horizontal and vertical industry chains.

The "Dosage Evaluation Method" applies AI technology to assess dosages for high-risk medications, using Vancomycin as an example. This method addresses limitations in clinical practice, where dosages are typically determined by physician experience or population pharmacokinetic parameters, which may not account for individual patient variability. Although several AI-based prediction models for dosage evaluation currently exist, most of these models directly suggest dosages, often without fully considering physician expertise. The innovation of this method lies in its approach to validating only the physician-selected dosage, providing reference feedback without influencing the physician’s final decision. This design not only respects the physician’s professional judgment but also enhances the safety of medication administration.

This solution integrates digital supply chain streaming and AI-driven scheduling to build an efficient and transparent production system. Core technologies include AI scheduling, digital twins, smart warehousing, and energy management, ensuring real-time data flow, precise decision-making, and improved production stability. Expected outcomes include a 20% increase in production efficiency, a 20% reduction in machine idle time, a 10% improvement in order fulfillment accuracy, and 10% shorter lead times. By implementing smart warehousing, inventory stagnation is reduced, material flow is optimized, and businesses gain a competitive edge in digital transformation and sustainability.

During the promotion of plastic life, we understand that only the concept of the circular economy can make the continuous reuse of resources. Therefore, we promoted the ”Plasticircular Project™” by using easily recyclable plastic as raw materials. Starting from the design of the product, the more we think about the end of the product, we are expecting to achieve the closed recycling model and system. All you have is what you want. In order to construct a service design for recycling packaging containers, to achieve a closed cycle of reuse and recycling of plastic packaging containers. We have the Project of the Plasticular and established a team to help with each step of the system.

AI on-site Earthquake Early Warning System A highly optimized system setting and design to sense earthquake P-Wave within 3 sec and through AI model to predict PGA and PGV immediately and send information to customer for further application Product Advantage -Customization by customer demand -Professional team to optimize system set up to avoid environmental noise and interference -Multiple system design to enhance system stability and efficiency -Close loop design for information security -AI model with best system set up for best performance in speed and accuracy -Evolving AI model with more data collection