Development of Cyber-physical system for Smart Farm： Digital management: Digital Data Collection System, AI Genetic Analysis Module, Big Data Module, and Virtual AI breeding Expert, Information Security Module. Genotyping and selection platform: Developing highly accurate genotyping and selection systems for screening dominant individuals. Optimization of breeding prediction system: Enhance breeding prediction systems through data analysis and prediction model to improve breeding efficiency and yield. Enhancing competitiveness: Enhance the competitiveness of Taiwan’s agriculture by improving breeding technologies and management practices of dominant individuals.

GSS's Vital NetZero is a cloud-based carbon management system that supports international standards, such as ISO 50001 Energy Management System, ISO 14064-1 Organizational GHG Inventory, and ISO 14067 Product Carbon Footprint. It helps enterprises navigate compliance requirements amidst pressures from domestic and international net-zero policies, carbon tariffs, and supply chain demands, enabling enterprises to tackle compliance requirements, achieve net-zero emissions, and practice sustainability.

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.

Remote expert video collaboration solution uses AR smart glasses to transmit onsite situation to the remote technical experts with high-definition real-time video, and guide the on-site engineer to troubleshoot and repair the fault from the first-person view perspective and free their hands. This is not only improves maintenance efficiency, but also ensures safety. It also achieve the sharing and inheritance of expert resources and high cost of traveling on site. When encountering difficult situations, multiple technical experts can also be invited for consultation. Experts can provide real-time multi-party HD video guidance with the on-site engineer, whether on PC or smartphone, to jointly solve technical issues and reduce downtime losses.

Building a Intelligent Transportation Network The traffic system is the artery of an urban development. To improve traffic quality and build a intelligent transportation network, Taiwan SECOM is working with local governments to promote smart street lights. The brightness of these lights can be adjusted according to the surrounding environment, which not only conserves energy but also reduce traffic accidents caused by insufficient lighting. A traffic flow detection system can immediately analyze the traffic flow of each main path and the substitute routes can be immediately displayed on the display to effectively divert traffic flow. The geomagnetic sensor and smart parking meter will help you live occupancy reoporting and fee calculation. Smart Street Light ．Smart Lighting: adjusts brightness according to various scenarios. ．Traffic detection: optimizes traffic routing and analyzes traffic flows. ．Environmental Sensing: detects the temperature, humidity, and PM 2.5 levels. Smart Parking Meter ．Live ocupancy reoporting and fee calculation. ．Bill pringting and support third party payment. ．Significantly reduce the labor cost of road side billing by more than 50%.

Feature •Automatic Gain Control (AGC). •Backlight Compensation. •Automatic White Balance. •Wide Dynamic Range (WDR) function with 120dB at 30 FPS. •Night noise suppression function. •Nighttime shooting with automatic aperture adjustment. •Stable image quality during low-light shooting at night under stable external light conditions, ensuring no flicker or color rolling, and clear nighttime images. Specifications •Uses a CMOS 1/3” Image Sensor. •MAX Resolutions：2MP (1920×1080 pixels)，D1 (640x480 pixels) •Maximum Frame Rate：30 FPS @1920×1080，30 FPS @640x480 •Focal Length：2MP lens ： 2.8-12mm±5%，D1 lens ： Fixed •Minimum Illumination：Color： Below 0.06 Lux，Black：Below 0.02 Lux.

-)Mainframe monitoring system, maximally supporting one million spots in real time. -)Smart loading balanbe for AOS -)Remote backup for AOS -)Adjudge amount of AOS as required, based on flexible structure. -)Central security management.

Far EasTone Telecommunications (FET) is committed to corporate sustainability and net-zero transformation. By integrating telecommunications with digital technologies, FET helps industries and society reduce carbon emissions. In the public building sector, FET is developing integrated solutions for “Net-Zero and Disaster-Resilient Energy Storage.” Combining net-zero strategies with Energy Management Systems (EMS), FET deploys renewable energy, energy storage, and smart energy-saving mechanisms. This approach balances carbon reduction with power resilience, supporting the public sector in enhancing sustainability and disaster preparedness. A key achievement is the National Taiwan Ocean University (NTOU) Gymnasium project, where FET implemented an advanced energy management platform integrating power monitoring, smart HVAC control, and renewable energy with storage systems. These efforts improved energy efficiency, provided a model for transitioning public buildings to net-zero, and earned the client Level 1+ Green Building certification. Looking ahead, FET will continue investing in net-zero buildings, energy storage, and resilient energy systems. Through collaboration with government, academia, and industry partners, FET aims to accelerate Taiwan’s progress toward sustainable development goals, advancing both net-zero emissions and disaster prevention.

The Intelligent Building Management System (iBMS) is a large-scale and flexible industrial control platform. By integrating Internet of Things (IoT), Artificial Intelligence (AI), Building Information Modeling (BIM), Intelligent Video Surveillance (IVS), and Building Automation (BA) systems, iBMS enables Digital Twin technology to manage and operate building mechanical and electrical systems in a visualized manner. The five major systems it oversees include electrical systems, HVAC, fire protection, plumbing, and low-voltage systems. This system meets the goals of ensuring health, comfort, and safety, while also achieving energy savings and intelligent automation. Additionally, iBMS also can integrate with other control systems to manage relevant operations in different application domains, such as: iDCIM systems for data centers, Operations management systems for smart factories iBMS is widely applied in: Smart building, Data Centers, Hospitals, Commercial buildings, High-tech manufacturing plants, Smart campuses/parks

Smart City Development Project Solutions 1、Noodoe Corporation：EV charging monitoring and operation cloud management platform for smart cities-Noodoe EV OS 2、Taiwan International Development Ltd.：Smart parking management platform 3、Wan Da Tong Enterprise Co., Ltd：Integrated ticketing with mobile payment service 4、Askey Computer Corp.：Indoor Positioning and AR Navigation Solution 5、Far Eas Tone Telecommunications Co., Ltd.：Parking GO To See More：http://www.smartcitytw360.com/

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.

Criminal and street violence cases will affect and cause panic to citizens. In order to diminish street violence cases, reducing the time to solve these cases, protecting citizens’ lives and properties, and allow citizens to live without fear, the Kaohsiung City Police Department (KCPD) built the “3D Street Violence Early Warning, AI Intelligence Collection and Integration Platform” (hereinafter called “the Platform”). The platform utilizes the Internet of Things (IoT) to combine AI image recognition and sound sensing technologies for cross-domain big data analyses. KCPD established cross-platform data interfacing and integration, mainly through “data integration” and “network analyses” to collect with the municipal government’s transportation bureaus and social bureaus; and import existing data from the KCPD data platforms. The Platform will, through web service API, (a) retrieve data built by information systems, (b) conduct big data analysis, aggregate applicable intelligence data and present it in the form of dynamic information, (c) Integrate all information and display it as maps and topologies, improve case handling efficiency. According to KCPD employees’ query, they can adjust factor weights and relationships. Analyze the results based on rational mathematical models and professional case-handling concepts, so that intelligence analysis goes beyond the limitations of platform developers and allows criminal police to maximize their capabilities.