• Features: With integrated AI-based image recognition, ultra-wideband (UWB) wireless positioning systems, warehouse management systems, and cloud platform services, the solution features automatically, real-time, and intelligent benefits to assist enterprises to achieve smart logistics and digital transformation with the enhancement of management efficiency and energy sustainability. • Functions: The solution includes AI-based image storage location identification, dynamic vehicle dispatching, automatic route planning, and display of available storage space. • Benefits: Higher management efficiency: Increases the inventory management efficiency by reducing the warehouse order pick up time by 12% on average. Energy sustainability: The system is estimated to save more than 6000 kg of annual carbon emissions for a single warehouse. Environmental benefits: Reduce 12% Warehouse order pick-up time, as well as an estimated annual carbon emission reduction of 6000 kg for a single warehouse.

Far EasTone’s Traffic Signal Mobile Communication Service makes urban intersections smarter and safer! With the stable connectivity of Far EasTone’s network, traffic control centers can not only monitor signal status in real time and adjust timing remotely, but also optimize signal control based on dynamic traffic flow, enabling smoother travel and reducing congestion. At the same time, we place pedestrian safety at the core. In response to the “pedestrian hell” issue, the system supports pedestrian signal control—such as extending pedestrian green time or inserting additional phases—and works in tandem with smart intersection sensing devices to proactively protect every step pedestrians take while crossing the street.

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.

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.

The Track Safety Management System is primarily aimed at addressing safety concerns along the track. It provides real-time monitoring, statistics, and detection-triggered alerts for trackside environments including stations, level crossings, along the track, and slope areas. The goal of this management system is to establish early warning alerts and prevent accidents from causing damage. Through the intelligent AIOT recognition monitoring system, it detects and analyzes station pedestrian traffic, tracks pedestrians at level crossings, identifies passing vehicles and traffic flow, detects foreign objects at level crossings and activates alarms, monitors personnel lingering and debris along the track, conducts rockfall monitoring on slopes with a rain gauge, monitors the environmental conditions in equipment boxes, and oversees the operation status of level crossing equipment. The monitoring data and image information are transmitted to the management system platform for integrated management via fiber-optic networks, NBIOT, or mobile communication. Additionally, it provides central management personnel with real-time interpretation and remote control in case of anomalies.

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.

Knowledge management solution receives another level! Integrating Generative AI, Search Engine, and NLP technologies, AI Search for KM produces precise and customized responses, offering users a better experience in knowledge search and QA services. We integrate Generative AI and intelligent Search Engine for knowledge management, assisting in the digital transformation of enterprises and enhancing productivity. Solving pain points encountered by technicians and aligning with user application needs.

Eup has developed a comprehensive video integration platform tailored for fire and emergency rescue operations. By connecting vehicle GPS, 360-degree cameras, body-worn cameras, and drone footage, command centers gain real-time, multi-angle situational awareness. This significantly enhances decision-making accuracy and frontline personnel safety—using technology to protect those at the very front line of emergency response. Unified Information Platform: Integrates ground-level and aerial perspectives to deliver complete emergency intelligence. Real-Time Command & Dispatch: Live video streaming ensures commanders stay fully informed of frontline conditions. Enhanced Responder Safety: Real-time monitoring of firefighter environments to predict risks and provide timely support. Cloud Video Backup: Secure cloud storage for rescue footage and operational records.

The “MiAIOT x 5G Railway Safety Management System was developed based on MiTAC’s in house AIoT platform-“MiAIoT”, and will assist the digital transformation of Taiwan's rail industry in the future, including cloud-based train operating data exchange, real-time train warning system, AI equipment abnormality prediction, and feeding all these crucial information to a situation “war room”.

Through matchmaking of public and private forests, enterprises can acquire forest-related data through hosting mechanisms. This includes metrics such as survival rate, tree height, carbon sequestration, and corresponding SDGs (Sustainable Development Goals) indicators. Leveraging deep learning and image processing technology, CoCoTree transforms trees and forest landscapes into data, providing customers with highly accurate forest information. This includes metrics such as carbon emissions, tree growth status, and changes in the ecosystem.

Wave guide photovoltaic energy harvest system provides 75% more power than traditional solar panel. Highly decreasing cost of maintenance and set up. Waveguide owns unique talents of easy shapeable, colorful, and scattering light collection, which can help PVs to be lightly integrated into devices and create an energy-smart sustainable future.

Extreme rainfall events have increased the frequency of flooding, creating an urgent need for timely and reliable monitoring of urban drainage systems. The Smart Water Monitoring solution deploys water-level sensors and communication devices within stormwater drainage networks to ensure continuous data transmission. Through a centralized platform with real-time visual indicators, authorities can quickly identify abnormal conditions. This solution strengthens urban disaster resilience, reduces manual inspections, and improves overall operational efficiency.