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.

Smart Traffic Control System: Traffic Congestion Improvement Project, AI Image Recognition and Management System

PALF is committed to developing eco-friendly textile products by using recyclable, zero-carbon emission agricultural waste "Pineapple Leaf" to establish the first localized sustainable yarn and fabric pilot production line in Taiwan. We promote the recycling of waste materials to create a more environmentally friendly, sustainable textile and fashion industry.

Specially for micro parts with a diameter less than 2mm, the CMHT is equipped with integrate automatic feeding system, automatic monitoring and carburizing quenching furnace for real-time adjustment, innovative oil tank, collecting device and intelligent digital services. It provides the heat treatment industry with customized, intelligent production solution. Its advantages are as follows ‧ CMHT has 100% collecting rate (50~60% for traditional equipment), 99% yield rate (50~65% for traditional one). ‧ CMHT reduces heat treatment schedule from 30 days to 2 days only. Based on demand, CMHT can rapidly replace process modules to substitute whole traditional heat treatment equipment and price of CMHT is only half of traditional one. ‧ Introducing intelligent digital service function, CMHT transforms experiences of traditional equipment into data decision, reduces reliance on human experiences, sets up industrial IoT solution and provides heat treatment industry with smart manufacturing via cloud services. ‧ Won the international honor of R&D 100 Awards and Edison Awards.

In order to achieve the goal of intelligent transportation in Hualien and alleviate the crowds and traffic problems brought about by the opening of the entire Suhuakai line and the traffic problems in the city center, the Hualien County Government has developed a design that conforms to the local characteristics and constructs intersection numbers through the "Development and Construction Design of Intelligent Transportation System". Using smart technology to make traffic policies more accurate. Entrusted "Chunghwa Telecom Co., Ltd." to stage software and hardware in the "2018 Hualien Intelligent Traffic Integration Management System Construction Plan in Response to Su Hua Changing Vehicles", "2019 Hualien County Smart Traffic Management System Expansion Plan", The "109-Year Hualien County Smart Parking and Guidance System Construction Plan", "110-Year Hualien County Smart Road Network Management Integration and Traffic Corridor Improvement Plan" and other projects have been completed successively. There are five functions for overall optimization and refinement: "Cloud Smart Traffic Control", "Restructuring Time Signs", "Traffic Big Data Value-Added Application", "Signal History", and "Smart Parking"

SONOBA COMET is a paperless conference system using tablet computers. Simple, no complicated operation or preparation required. Convenient, one-person operation, all participants can be expressed simultaneously. Information security, delete the information after the meeting. SONOBA COMET” is a product that has been positively received and implemented by a wide range of customers in different industries and business categories, such as banks and brokerages, IT companies and music-related companies, and public institutions like universities and hospitals. As a communication tool, it is performing well not only in meetings but also in various other scenes such as presentations for operating activities, training and seminars, and telemedicine.

Taichung City has deployed 1,220 air quality sensors, utilizing IoT and AI learning, along with a geographic information system to visually present real-time sensor monitoring data.By leveraging big data analysis, pollution hotspots and peak pollution periods are identified to assist environmental agencies in smart law enforcement. Additionally, cross-department collaboration is implemented for environmental governance, employing intelligent technology management for air quality control. The integration of unmanned aerial vehicles (UAVs) further enhances pollutant sampling efficiency.

Jia Keng Technology has developed a unique intelligent active compensation energy storage system aimed at behind-the-meter storage solutions. Through an energy management system, it performs real-time analysis of power supplied by Taiwan Power Company and the power load of the site. The system proactively compensates for voltage and frequency, enhancing power stability and safety while preventing the impact of voltage sags or frequency instability on production and equipment. Regarding asset management functions for the energy storage system, Jia Keng uses AI algorithms to optimize battery charge and discharge management. During time-of-use pricing transitions, the system not only effectively stores off-peak low-cost electricity for use during peak times to reduce power costs, but also effectively extends battery life by 35% and improves efficiency by 15%. The key feature of this service is the "integration of power and energy storage systems." In addition to choosing traditional "purchase" or "leasing" options, customers can also opt for Jia Keng's flexible business model, "pay as you use," which reduces decision-making risks for customers and aligns with the spirit of the ESCO service model.

Through Sensor Node, including water level sensor, rain gauge, data recorder and LPWAN transmission module, the system provides the information factors including water level , rainfall, inundation height inside and outside the water gate. Then transmit data to the back end system. The members in emergency center could do the best practices based on these crucial information

DeltaGrid® low-carbon emission energy solution focuses on the four major perspectives of energy creation, energy storage, energy control, and energy saving. It integrates solar energy, energy storage, EV chargers, energy management, as well as energy saving software and hardware products to provide a practical transformation solution that helps strengthen grid resilience, optimize energy dispatching, enhance renewable energy utilization, and achieve cost and energy saving, carbon emission reduction, and net zero sustainability goals. The solution is for four major areas, including power plants, industrial and commercial factories, electric vehicle charging stations, and community residences, so that renewable energy can be stably connected to the grid, stabilize the electricity consumption of industrial and commercial factories, and improve the operating efficiency of charging stations.

Reflective LCD, clearly visible under the sun AI vehicle detection, camera technology law enforcement Multiple payments Solar rechargeable battery, no need to pull power

NCREE has developed a Hybrid earthquake early warning system (EEWS) by integrating on-site EEWS from NCREE and regional EEWS from Central Weather Administration (CWA). Within a 10 to 100-kilometer radius from the earthquake epicenter in the local region, this system can provide 3 to 15 seconds of warning time. To achieve effective alerts with the available warning time, the utilization of a Hybrid EEWS cloud platform is crucial. This platform facilitates the transmission of alerts and the affected administrative regions to various industries. Industries, in turn, leverage these alerts to develop warning systems and automated control devices tailored to meet the specific requirements of different environments. This approach aims to minimize secondary damages resulting from earthquakes, transforming EEWS beyond being notifications received Presidential Alert on mobile phones. Instead, it offers a multi-faceted alerting and disaster reduction application system tailored to different environmental settings.