The technical solution of Foxtron Electric Bus combines domestic and international resources, each contributing its strengths： 1. It adopts Foxtron's self-developed VCU software, integrates and develops the EEA architecture for electric buses, and utilizes motors, batteries, and chassis suspension systems from international major manufacturers. In collaboration with domestic manufacturers, Foxtron designs and develops dedicated low-floor bus frames for chassis cooperation. 2. In the product design of electric buses, Foxtron identifies pain points in traditional buses and improves upon them. For example, traditional buses often have issues with rollover protection and numerous blind spots, as well as differential wheel rotation caused by wheelbase, leading to frequent traffic accidents due to visibility problems. To address these issues, Foxtron employs Computer-Aided Engineering (CAE) and NVH (Noise, Vibration, and Harshness) analysis to verify the design of various systems and components. This ensures the overall strength of the vehicle body and chassis, enhances passenger safety, and incorporates features such as panoramic image display and an electronic wide-angle rearview mirror with a blind spot detection system to solve driver blind spot issues. Additionally, to alert pedestrians and other road users to the risk of differential wheel rotation, Model T projects prominent light beams onto the ground during turns, marking the danger zone.

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.

Energy accounts for large portion of business cost, well 40~50% of it are rises from air conditioning. e-Formula offers an ideal solution for energy management through advance technology from Taiwan. We provide e-Form with big data 、AI and cloud technology, it's an energy dashboard for the client demonstrating current status of equipment and service, and a global energy consumption, improving power management equipment longevity and risk management for the managers. It safes energy from both directions by decreasing consumption and increasing efficiency.

Taiwan SECOM “Smart City Safety Solution” including: 5G high-speed network transmission, road safety monitoring, real-time analysis of traffic flow and vehicle types, parking violation analysis, license plate recognition, traffic flow analysis, smart parking, air quality detection, personnel positioning and push Notification, e-paper information board and IoT integrated system platform. The platform's principal IOC monitoring and management, Open API interface, and know-how for dispatching services are integrated with multiple subsystems through the back-end management platform. When the system is abnormal, it can be quickly reflected and subsequent disposal. Significantly reduce personnel monitoring and management costs. It will also actively monitor the normal status of the equipment at usual time, when abnormal maintenance, always keep the system equipment running normally, improve the system equipment rate. Meanwhile the new way of operation of the smart city is establishing.

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.

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%.

3. High-end line: full system is 307 or 316 stainless steel chassis. Model No.: AH6676D (316) - Successful Case: Installed at the perimeter of Taipower Plant, an offshore area. - Sony Starvis™ sensor with 2MP, 5MP resolution. - Different angle lens are available. IR LED range is up to 40 meter.

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.

mAST: Muscle Auto Strength Training System Modernizing Tradition: Transforms traditional Squats and Bench Presses into a safety-first, scientifically optimized, and high-efficiency training experience. Key Product Features ■ Superior Safety & Scientific Precision: Combines high-level safety protocols with data-backed insights for maximized training results. ■ Parameterized Controls: Offers diverse training modes with high-precision resistance control at 1kg increments. ■ Historical Data Analytics: Automatically logs every session, allowing users to track progress through historical data and analyze trends in training effectiveness. ■ AI Virtual Coach: Features automated resistance control paired with human-like audiovisual guidance, interacting with users just like a personal trainer. ■ Space & Cost Efficiency: No need for traditional bulky equipment, reducing procurement costs while creating a sleek, professional, and minimalist environment.

ASUS MAAS develops intelligent products and services for smart transportation needs, achieving integration of hardware and software. By mastering next-gen digital technologies and focusing on data, it enhances the functionality and application of intelligent features in transportation. Development and manufacturing of intelligent parking systems include: 1. Intelligent ticketing system for on-street parking 2. Intelligent payment systems for both on-street and off-street parking 3. Intelligent charging station system 4. Intelligent parking space management system 5. Specialized multi-payment machines for intelligent parking

A-MTK Expands Presence in TRA Stations 2025 Project Installation Scope: Zuoying, Neiwei, Museum of Fine Arts, Gushan, Sankuaicuo, Kaohsiung, Minzu, Science and Technology Museum, Zhengyi, and Fengshan Stations To enhance station security and management efficiency, ten TRA stations in Kaohsiung will be newly equipped with A-MTK IP cameras, expanding surveillance coverage and integrating with the access control system. The project achieves the following outcomes: Video Surveillance Deployment: Multi-point installation of A-MTK IP cameras inside and outside stations, providing real-time monitoring, event recording, and playback. Access Control + Video Integration: When an abnormal access event occurs (such as unauthorized card use or forced door opening), the system automatically pops up the corresponding camera feed and simultaneously sends an alarm notification to the management center. Centralized Monitoring Platform: The Kaohsiung control center can instantly oversee access control status and video feeds, achieving cross-station integrated management. Cybersecurity and Reliability: A-MTK is ISO 27001 certified; IP cameras are CE/FCC/BSMI certified. With system disconnection recovery, continuous operation is ensured without interruption.

ITS traffic data collection has solved the laborious and time-consuming task of manually calculating traffic flow in the past. It aims to achieve the goals of smoother road conditions and reduced accidents through intelligent traffic diagnosis. By utilizing intelligent transportation systems, the system automatically tracks vehicles, identifies vehicle types, predicts trajectories, and transforms the data into useful information. This assists in real-time interpretation and improvement of traffic engineering. This system is particularly crucial in Taiwan, where over 60% of traffic accidents occur at intersections. Through big data analysis, identifying issues and formulating solutions is possible, thereby lowering accident risks. This approach proves more effective than simple advocacy and alerts.