MIRDC’s continuously Rotating Wind Turbine UAV Inspection System can effectively inspect the working wind turbine without interference. It takes 5 minutes to complete the inspection of a single blade to effectively detect 4mm small cracks. The system will not lose power generation by turning off the wind turbine, further observes the actual movement status of running blade structure and pillars to grasp the defects beforehand.

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.

Prof. Ming-Chung Chou’s Team – Intelligent X-ray Imaging System Traditional X-ray imaging depends on experienced radiographers to balance image quality and radiation dose. Automatic exposure control may misjudge patients with poor positioning or metallic implants, increasing radiation by about 20%. This study develops an AI-based X-ray imaging system with non-contact body thickness measurement. By integrating patient height and weight, the system automatically determines optimal exposure parameters, ensuring stable image quality while reducing unnecessary radiation and cancer risk.

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.

“RECYCLEPUNK x CHARGESPOT Multi-function merchant” is not only a terminal for urban waste reduction, but also a central hub for moblie power support. Equipped with cutting-edge AI-powered recognition technology, the machine enables users to complete bottle recycling in just three seconds, delivering a seamless experience that effectively eliminates the long queues associated with traditional recycling and making environmental participation intuitive and highly efficient. Through deep integration with the globally leading power bank rental service CHARGESPOT, users can instantly redeem the reward points earned from bottle recycling for charging coupons-allowing them to recycle efficiently while also enjoying convenient power services. Within the footprint of a single merchant, it simultaneously fulfills two essential everyday needs: “Green Sustainability” and “Power Sharing.”

"Hualien AI Agent: 24/7 Digital Travel Hub" is a smart solution specifically designed to enhance urban resilience and boost traveler confidence. Built on the LangGraph architecture and integrated with multiple Large Language Models (LLMs), the system utilizes Natural Language Processing (NLP) to precisely understand user needs. It supports over 20 languages, providing authoritative information ranging from local culture to real-time post-disaster traffic updates and safe routing. As the first AI Agent in Taiwan capable of proactively calling multi-source real-time APIs across various government departments, it combines LBS (Location-Based Services) with a professionally maintained RAG authoritative knowledge base. This allows the system to push precise safety alerts and personalized itinerary recommendations to users. Through deep OMO (Online-Merge-Offline) integration, the service extends from digital platforms to major transportation hubs, visitor centers, and local businesses. It not only demonstrates the resilience of digital governance but also fully empowers the tourism industry to accelerate its recovery.

The device incorporates cutting-edge Edge control technology and is compatible with various sensors. • Independent Operation The device can operate independently even when powered off or disconnected from the network, ensuring continuous operation and functionality. • Remote Firmware Update and Configuration It allows for remote updating of firmware and configuration settings over the network, enabling easy maintenance and optimization of the device. • Data Storage and Transmission The device is equipped with capabilities for storing and transmitting data, facilitating the collection and transfer of information as needed. • LED Indicators The device is equipped with LED indicators for power and communication status, providing visual feedback on its operational status. 1.Model No: AIOT-C01 Fog Detection Controller Application Scope: Mountain Roads, Railways, Highway, Airport, etc 2.Model No: AIOT-C02 Rainfall Detection Controller Application Scope: Mountainous Area Water Level and Rainfall.

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.

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.

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 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.

Qualcomm Terrestrial Positioning Service (TPS) provides high-accuracy geolocation and wayfinding capabilities for mobile and industrial devices by leveraging nearby Wi-Fi, cellular base stations, and terrestrial signals such as Bluetooth® Low Energy (BLE), enabling precise positioning virtually anywhere. It offers flexible integration options through software packages and APIs that can be easily incorporated across diverse hardware and platforms. Designed with battery efficiency in mind, intelligent algorithms support always-on or periodic cloud-based location updates, optimizing power consumption for different usage scenarios. TPS also supports offline positioning through token and caching technologies, allowing devices to determine location even without network connectivity. * Qualcomm branded products are products of Qualcomm Technologies, Inc. and/or its subsidiaries. Qualcomm is a trademark or registered trademark of Qualcomm Incorporated.