TBox101 RadEye PRD-ER4 monitor - Support dummy battery to provide 3V voltage for device power. - Easy to change RadEye device mode at Wearable or Standalone. - Read data from RadEye device through IR interface. - Supports VGA port output for information display - Supports data set and get operations on TBox101 via SNMP. - TBox101 is powered through the USB port.

1. Economic line: outdoor bullet IP cam. Model No.: AH65C6D - Successful Case: Installed in "Taoyuan Shalun Industrial Zone" for offshore. - Sony Starvis™ sensor, 2MP, 5MP, 4K resolution available for selection - Different angle lens are available. Smart IR LED range is up to 30meter. - Edge AI including person detection as virtual fence, vehicle Detection - Aluminum die-cast chassis with stainless steel screws. IP68 certification and base on project requirements to provide salt corrosion resistant treatment on casing.

Integrating RPA, Generative AI, Machine Learning, and Process Management technologies, we provide manufacturing solutions to address supply chain communication, timely business delivery responses, on-site scheduling optimization, order insertion issues, new employee training, and corporate administrative problem-solving.

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.

MiTAC has leverage the RFID technology and integrated with related solutionsto modify the warehousing and production management system. MiTAC's RFID Smart Manufacturing Solution has been applied in various industry, such as IPC, LED, Semiconductor, and textile industry. MiTAC has provided complete RFID application solutions these years from the inventory to production management system. We sees RFID as a game changer. Besides the RFID technology, the integrated application system is also important. MiTAC also develope the application systems. For each different scenario. We’ve developed a different system to work out a more complete RFID solution. We've also used supervised learning AI modules to develop MiTAC’s MiAION SeeR, a failure detection solution. MiTAC's strong software development ability is the biggest advantage.

With our fiber sDAS, Wave-In effectively reduce mobile signal dead spots caused by insufficient base station coverage, buildings or electromagnetic signal interference. Due to the pandemic, Taiwanese Engineers weren’t able to assist with on-site installation and coverage testing, to solve this problem and improve efficiency, Wave-In utilized Mixed Reality for collaboration and remote assistance.

InsAI: Beyond Traditional OCR. InsAI is an intelligent recognition system that allows AI to truly read and understand real-world documents. By utilizing GSS’s proprietary Computer Vision and patented multi-modal retrieval technologies, InsAI transforms document processing. We help enterprises eliminate repetitive manual entry and streamline verification, paving the way for paperless operations and ESG compliance.

FET has long been investing in IoT application development and assisting Taoyuan City in becoming the first city in Taiwan to adopt a large-scale intelligent lighting system and LED street lamps. FET has also integrated 5G and AI technologies to launch the “5G Smart Pole” solution, offering a variety of smart application services and accelerating Smart City transformation. Features •Smart poles integrate digital signage, IP cameras, high-efficiency street lamps, roadside units, 5G small cells, and EV chargers. •Based on 5G Smart Pole Alliance standards.

Leveraging world-class 5G and advanced technologies, FET has built a “5G Telemedicine Platform” to deliver mobile, zero-day telemedicine services. This year, 5G telemedicine has expanded to 15 counties and 59 districts. During the COVID-19 pandemic, we also supported hospitals in providing remote clinical services and maintaining routine medical care. Features Real-time telemedicine services to strengthen medical resources in remote areas Support for medical IoT devices High-level system integration with hospital workflows Newly introduced patient functions to meet epidemic-related demands AI-powered analysis to assist physicians in diagnosis Full-time video recording to ensure doctor-patient trust and information security Support for virtual NHI cards Awards & Certifications • 2026 Taiwan Excellence Award – The highest honor for product innovation and superior quality • 2025 National Industrial Innovation Award – First telecom company to win in 18 years • 2025 Yang Award – Sole telecom winner for smart healthcare innovation • British Chamber of Commerce in Taipei – Better Business Award 2025 • Certified with U.S. HIPAA for global data security compliance • Holds ISO 27001, ISO 27017, ISO 27018, and ISO 27701 certifications

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.

With the rise of smart cities and cloud technology, building security has evolved from traditional surveillance to AI‑driven proactive protection. Our electronic perimeter security solution establishes an invisible defense through five layers. First, AI visual recognition performs human detection and skeleton tracking, filtering out non‑human interference. When individuals linger in sensitive zones beyond a set threshold, the system triggers initial warnings via speakers and lighting. Second, if a target crosses the virtual perimeter or enters restricted areas, the system instantly identifies illegal intrusion and pushes alerts and live footage to the control center or homeowner. Entering the active countermeasure stage, the system can lock access doors, activate outdoor lighting, and enforce tracking to isolate intruders. If threats persist, the highest‑level electronic deterrence is deployed: high‑decibel alarms to draw attention, intense strobe lighting to disorient intruders, and automatic connection to police or security services to secure external support within the critical response window. This integrated solution combines AI, cloud, and building facilities to deliver early warning, confirmation, and counteraction—greatly enhancing the safety resilience of smart buildings.

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.