Capable of helping customers complete ISO-14064 greenhouse gas inventory rapidly and correctly, the platform offers boasts provision of real-time greenhouse gas emission data, production of lists and tables, and carbon emission forecast, , thereby assisting enterprises in planning carbon-abatement investments, attaining emission reduction according to timeline, and optimizing emission management flow.

EdgeLink-X is an AI-driven heterogeneous edge-network platform built to provide resilient, low-latency connectivity for intelligent transportation and railway environments. The system forms a multi-layer architecture that unifies field communications, sensing, video capture, and edge analytics into a reliable and adaptive communication framework. At the field level, IP110H and IP503H Lite IP radios deliver instant voice communication and group coordination for frontline personnel. Sensors and cameras are connected through the AG260 AIoT Gateway, while the AS710 Wi-Fi 7 indoor access point provides high-quality Wi-Fi coverage in stations, platforms, and passenger areas to enhance traveler connectivity. Long-range, time-synchronized backhaul is supported by the SP250 Series, ensuring stable, high-throughput wireless links across trackside and outdoor environments. At the core, the zMEC edge-computing platform performs real-time AI video analytics, abnormal-event detection, and rapid data distribution to minimize latency and support mission-critical responses. By integrating Wi-Fi, LTE, 5G, PTP wireless backhaul, and AIoT devices into a single cohesive system, EdgeLink-X enables applications such as slope monitoring, intersection intrusion detection, pantograph spark/wear monitoring, and onboard operational visibility—forming a robust foundation for next-generation safe and intelligent mobility.

MSA redefines the standards for firefighting, rescue, and industrial safety through the Internet of Things (IoT). The Smart Firefighting system integrates MSA M1/G1 SCBA with advanced telemetry technology to provide real-time monitoring of critical data, including cylinder pressure, remaining service time, and personnel movement. By leveraging the FireGrid cloud platform, all data is seamlessly transmitted to the command center, transforming traditional incident scene management into real-time digital decision-making. This solution significantly enhances operational efficiency and maximizes the safety of first responders in hazardous environments.

Due to the terrain of Taiwan, how to save water resources become one of the main topics that has attracted the public’s attention. Through the following water facilities, the public could get real-time query of water information. In the future, water alarms will be provided for the public to prevent water disaster. At the same time, it also makes water resources management more intelligent, which can not only save resources but also effectively control them.

Micro-grid refers to the integration of distributed power sources and energy storage system in a certain area to supply the electrical energy needs of users in the area. It's a regional power grid with the ability to control power, which can disconnect from the traditional large power grid and operate. Installing green electricity can help reduce peak mobile electricity bills, and you can also get a green electricity voucher. Likewise, peak shaving and valley filling can reduce the maximum load demand and reduce the contract capacity with saving electricity bills. In emergency micro-grid could supply certain amount of electricity through energy storage system as well.

This project integrates cable TV systems, Civil IoT, and AI video recognition technology to build smart disaster prevention and site safety services. Centered on set-top boxes (STB) and intelligent sensing, the solution focuses on bridging the gap in real-time information and safety protection for elderly and rural populations. Through its wired network infrastructure, the system developed under this project is capable of delivering real-time disaster prevention information, including earthquakes, typhoons, and heavy rainfall alerts. In addition, AI-based recognition capabilities have been integrated into the system. Currently, the system has completed event recognition functions such as parcel placement and retrieval detection. It also performs analysis of human movement trajectories and abnormal group behavior detection. In the future, the system will be further expanded to identify dangerous situations such as violent behavior. Through this project, Taiwan Optical Platform (TOP) demonstrates the potential of integrating cable television networks with AI and IoT technologies to develop a platform for smart disaster prevention and public safety applications.

Far EasTone’s Traffic Signal UPS System ensures that intersections remain “lit and flowing” even during power outages. By integrating Far EasTone’s self-developed monitoring and management platform with smart batteries and signal controllers, the system can instantly track battery levels, utility power status, and device health. When an abnormality in the utility power occurs, the smart battery automatically takes over to keep the traffic lights operating normally. This enhances road and public safety while preventing sudden traffic disorder or additional carbon emissions caused by congestion. At the same time, battery and UPS data are sent back to the platform, allowing management units to detect abnormalities in real time and respond quickly—building truly stable and uninterrupted smart mobility for cities.

Smart Multifunctional Periodontal Pathology Quick Screening System (SMPPQSS) is the first product able to automatically identify the position of teeth and then to calculate the distribution area of dental plaque simultaneously. The system also provides a new painless gingivitis examination method that could relief examining discomfort. Neither the need of the plaque disclosing tablet nor a probe to penetrate into the patient’s periodontal pocket to determine the degree of periodontitis. Once all tooth-related data is automatically filled into the periodontal digits, the medical record sheet is uploaded to the system directly. It shortens the process to less than 10 minutes, greatly reducing the discomfort of patients during the examination as well as shortening the time doctors need to diagnose and record. SMPPQSS is easy to operate and portable. Dentists or dental assistants can check periodontal health quickly with no restriction of facilities, patients can receive a more convenient medical care even in remote rural areas or at home, or with limited mobility.

Agriculture is the main industry in Yunlin County. Nearly 1/3 of the population are workers in the primary industry. In addition, more than 60% of the population in the related industry chain is engaged in agriculture-related businesses. However, due to the outflow of young people from rural areas, an aging society, and global climate anomalies have made it difficult for agriculture to maintain stable yield and quality, and the international community has responded to the issue of carbon reduction. How to balance food security and environmental sustainability has become a major issue in the current agricultural transformation. Therefore, the Yunlin County Government promotes the agricultural creation service guidance team, discovers local DNA, combines traditional agriculture to carry out digital transformation of farms, effectively improves agricultural productivity, bridges the gap between labor shortage and unstable production, assists the agricultural industry in line with international carbon reduction trends and create low-carbon sustainable urban and rural happiness.The project won the 2023 Smart City Innovation Application Awards.

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.

IISI has a number of solutions for smart image processing, the main application areas are smart transportation, smart disaster prevention, security monitoring, etc. The main products include iTrafficView and iSurveillance. iTrafficView is a server-based image recognition detection system that receive real-time video streaming from on-site network cameras and instantly performs image recognition and event detection to provide monitoring services immediately. Furthermore, the system records related identification and detection data for consecutive statistical and analysis procedure. The advanced hybrid DVR and intelligent management platform offers a one-stop solution to enhance both analog, digital, and IP convergence. "iSurveillance" is an intelligent Hybrid DVR that supports analog and IP cameras. It applies the ASF compression for efficient data management, flexible and compatible with various brands of surveillance devices.

The EUP Fleet Management System integrates ESG management, providing visualized reports and big data analysis to accelerate communication between the supply chain and transporters, ensuring effective ESG management and achieving carbon reduction goals. Through AI big data analysis, it automatically provides green ratings and compares carbon emissions with industry peers, enhancing market competitiveness and brand image. Additionally, cloud-based, digital, and automated management enables enterprises to easily monitor fleet emissions and develop carbon reduction strategies.