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Technology Introduction: • Technological Innovation – This technology combines AI algorithms and IoT architecture to intelligently regulate freezing, refrigeration and air conditioning equipment in commercial spaces, achieving instant energy saving and automatic demand response. It is also the first to use refrigeration equipment as an energy storage medium to support grid load scheduling, taking into account both food safety and customer comfort. • Competitive or Intellectual Property Advantages – A non-intrusive refrigerant leakage detection method、Smart defrost control method. • Important Achievements / Awards – 2024 R&D100 Awards、2025 Edison Awards. Industry Applicability: This system is applied in the food retail industry. Through IoT sensor networks and AI algorithms, it connects the freezing, refrigeration, lighting and air-conditioning equipment in the store, automatically adjusts the operation strategy, and achieves energy saving while maintaining food safety and customer comfort. Recently, we have developed a demand response function and have demonstrated it in specific stores, using equipment pre-cooling/cooling as energy storage to help the power grid stabilize loads during peak hours.
Innovation Economy | Green Energy ＆ EnvironmentTechnology Introduction: Developing Virtual Power Plant (VPP) technology will enable the effective integration and management of diverse distributed resources, including renewable energy, small generators, loads, charging station, and energy storage. This integration can achieve the functionality of a bi-directionally dispatchable power plant. Key technologies include the VPP decision-making system and the resource management U-Box. The U-Box, developed by the Industrial Technology Research Institute (ITRI), facilitates the rapid and secure integration of distributed resources into the VPP pool. Coupled with ITRI's VPP decision-making system, it enables the preemptive understanding of resource status and dynamic resource allocation to meet market technical demands. Industry Applicability: The U-Box developed by ITRI (Industrial Technology Research Institute) enables rapid and secure integration of distributed energy resources to form a virtual power plant. It also functions as a simplified energy management system. Additionally, the virtual power plant decision-making system leverages AI-based forecasting technology to monitor resource margin fluctuations. Combined with dynamic resource management techniques, it enables optimal resource dispatch to meet market demands. This approach helps expand opportunities for private sector participation in Taipower’s ancillary services market, thereby enhancing grid operational flexibility.
Innovation Economy | Green Energy ＆ EnvironmentHis technology combines multispectral imaging and AI to identify blended textile fibers such as polyester, cotton, nylon, and spandex. Using data from visible, NIR, and SWIR bands, the system captures spectral differences among fibers. AI models classify materials with high accuracy, even in complex blends. It enables real-time fiber recognition for textile recycling, automated sorting, and quality control, improving material recovery efficiency and supporting circular economy efforts.
Innovation Economy | Life Application/Materials ＆ Chemical Engineering ＆ Nanotech/Green Energy ＆ EnvironmentTechnology Overview： N-Cloud, developed by N-Partner, features innovative data collection and integration analysis technology that combines various types of data. Our system consolidates and correlates multi-dimensional network and log analysis data, including network traffic, device health status, user digital footprints, and audit logs. This allows IT managers to monitor network status in real-time, alerting and collaborating on cybersecurity threats, eliminating the need for multiple management tools, reducing manual analysis errors and time. This minimizes network downtime and prevents major business losses. Industrial Applications： N-Cloud is an all-in-one platform that integrates network monitoring, flow analysis, and log management to simplify complex IT and cybersecurity operations. With a built-in AI assistant, it delivers 24/7 visibility, detects anomalies, sends real-time alerts, and helps trace root causes in minutes. It reduces manual workload, minimizes errors, prevents downtime, and improves overall IT efficiency across industries.
Innovation Economy | Information ＆ CommunicationsProduct Overview • Air Aurora AI Surface Treatment System is an environmentally advanced surface-treatment solution, independently developed and commercialized by Atmospheric Plasma Corporation (AP PLASMA) for B2B customers. Core Features • AI recognition: 3D, real-time detection of materials and geometry with automatic tuning of optimal plasma parameters for consistent results. • High efficiency & clean: Improves adhesion and downstream process stability, increasing production yield. • Modular design: Rapid retrofit to existing lines with flexible expansion as needed. Compliance & Sustainability • CE certification: Meets international safety and environmental standards. • Eco-friendly process: Reduces VOCs and chemical usage; supports green manufacturing and smart transformation. Supported Materials • Rubber, TPU, EVA, plastics, and other composite materials. Key Applications • Footwear: Surface roughening and pre-bonding treatment. • Biomedical: Enhanced hydrophilicity for contact lenses. • Lighting: Stronger adhesion for antimicrobial coatings on lamp covers. • Sports: Stable bonding of dissimilar materials (e.g., bicycle saddles
Innovation Economy | Machinery ＆ SystemMassive devices digital twin performing platform solves the pain point where creators are unable to visualize the performance content during planning stages. The technology creates virtual massive devices, and adopt algorithm to control massive devices simultaneously. The AI-based best view splicing technique helps the producers to simulated, distribute images, control angles, and rotate degrees of the devices in presenting the best viewing result. Patent application was raised to create entry barriers which helps the industry to expend worldwide.
Innovation Economy | Life Application/Electronics ＆ OptoelectronicsTechnology Introduction: To introduces CCS technology through AI Interactive Voice System, informative posters or promotional videos, helping the public understand the fundamentals of carbon capture and storage. Visitors can also engage with an interactive “Carbon Capture Shooting Game,” which playfully illustrates the key steps of flue gas CO₂ capture in large industrial plants - making learning about carbon capture both fun and educational. Industry Applicability: An AI interactive voice system can be used to virtualize the exhibition and interaction within a carbon capture and storage (CCS) museum. It can incorporate a “Carbon Capture Shooting Game” to present the main processes of flue gas carbon capture in large factories in an engaging and interactive way. This includes understanding the main components of flue gas, key chemical capture solvents, and CO₂ liquefaction.
Innovation Economy | Information ＆ CommunicationsTechnology Introduction: The image identification of PV system using AI technique for CPC Corporation is developed. Plenty of PV panel images collected utilizing a drone are prepared for machine learning. We combine the PV patterns with IR images to obtain locations with relatively high temperature by threshold setting. The defects may be thus clarified. A user interface is created to assist us with the identification. Industry Applicability: This technique is developed for the maintenance of solar PV systems. It mainly utilizes drones to capture images of PV panels and further employs AI models to identify potential defects for these panels. The problems may be solved as soon as possible in order to make sure the functions of the PV system.
Innovation Economy | Green Energy ＆ EnvironmentT-Skin is an advanced head sensing safety solution designed to improve safety in human-robot collaboration (HRC) environments. It covers the key parts of the robot arm or robot like a layered "skin solution". The sensing units on T-Skin can detect rapid changes. When a person or object comes into contact with the robot surface, the sensor will immediately trigger a safety stop signal. The technology is actually applied to Taiwan's semiconductor production lines, improving the process efficiency by more than 80%, increasing the performance per square meter by 52%, and reducing the basic production line manpower by 61%. It can be widely used in various industrial fields that require human-robot collaboration.
Innovation Economy | Machinery ＆ SystemComing soon!
