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.

This service can avoid children and elders being lost. Users merely have to bring the device with them, through the sensor installed at the service area, family members can immediately receive users’ instant position through exclusive website, LINE or App. 【Real-time Positioning】 The caregiver can dynamically query and know about the real-time location and the path data for each care receiver. 【Guarding Area】 The caregiver can set different areas as guarding areas, and they will be notified if any care receiver enters or leaves these areas.

PALF is committed to developing eco-friendly textile products by using recyclable, zero-carbon emission agricultural waste "Pineapple Leaf" to establish the first localized sustainable yarn and fabric pilot production line in Taiwan. We promote the recycling of waste materials to create a more environmentally friendly, sustainable textile and fashion industry.

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.

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.

1) Automatic Notification System 1. Consolidate the IOT info from various sensors, as well as history of user behaviors 2. Big Data Analytics & AI-enabled recommendation engine: Send delivery notice or abnormal alert 3. Push mobile APP message to User and Operator 2) Electronic Ordering System (Customized) 1. Planed delivery schedule service, user confirmed the delivery time, system automatically plans routing and deliveryman 2. Delivery schedule: Push individual mobile APP message to each deliveryman 3) Cylinder Management System (Customized) 1. Cylinder barcode APP scanning, Deliveryman scan the barcode and upload to cloud system 2. Automatic notification mechanism for expired cylinder 3. Data Analytics & Statistical Report 4) Safety Reporting System 1. LPG safety sensors: Including gas detector, Solenoid Valve, pressure switch and UVIR Flame Detector 2. IOT-BOX showoff Solenoid Valve and reporting 3. Push mobile APP message to User and Operator for emergency response 5) Cloud ERP System (Customized) 1. Modular management system: Accounting, Administrative, Financial, Procurement, Human Resource, inventory, Customer Service and sales management 2. Data collection, Analytics & Statistical Report

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.

TECO develop Air conditioners base on the core vision of ” Energy Saving , Emissions Reduction, Intelligent Operation, Automation” in order to provide total AIoT solutions. Our residential air condition series apply “Smart maintenance system” which could inspect operation status/ collect data /diagnose issues and provide appropriated troubleshooting suggestions proactively and precisely. The system utilizes expert system not only solve issues but also initiate a tailor-made service plan in a shorter time with less manpower.

Across urban and industrial environments, public facilities, critical assets, and infrastructure systems are often highly complex and geographically dispersed. Even minor abnormalities, if not identified and addressed in time, can lead to safety risks and operational disruptions. The Smart Mobile Inspection System is designed to address these challenges, enabling governments and enterprises to establish forward-looking digital inspection and maintenance management capabilities. The system integrates mobile devices, sensor data, and visual information, leveraging real-time AI analysis and anomaly detection to transform potential risks into predictable, traceable, and actionable management tasks. From anomaly alerts and intelligent task assignment to on-site reporting and final verification, the platform seamlessly connects every stage of the inspection workflow, delivering a fully digital, end-to-end inspection and maintenance management solution.

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.

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.

Digi-Green Compass – Linking Tech to a New Future Showcasing Taiwan’s Green Resilience Through Technological Leadership Centered on the core pillars of AI, DIGITAL and GREEN , Digi-Green Compass brings transformative capabilities of enterprises, cities, and industries to forge a comprehensive green ecosystem spanning Energy, Mobility, Governance, and Green Supply Chain. Through benchmark leadership and technical demonstrations, this pavilion illustrate the feasibility and scalability of the net-zero transition. Here, technology serves as a shared language for industrial decarbonization, urban optimization, and supply chain synergy, leveraging technical strength to advance together toward a net-zero future.