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.

CarbonClean Energy’s CO₂ electrolysis equipment E-Oak utilizes proprietary electrochemical conversion technology to directly transform carbon dioxide into high-value chemicals such as carbon monoxide, ethanol, and ethylene. This enables waste-gas reutilization while creating additional economic value. Unlike thermochemical carbon utilization processes that require high temperature, high pressure, and hydrogen input, E-Oak operates under ambient temperature and pressure. It only requires carbon dioxide and water to drive the conversion reaction, providing enhanced operational safety. In addition, E-Oak synchronizes operational data with the cloud, allowing users to remotely monitor equipment performance. Its automatic equipment diagnostic reporting function further facilitates smarter carbon management.

Integrated production management system covering 4M1E. Features real-time data collection, digital Kanban visualization, and full traceability. Enables paperless operations and complete process transparency. 1. Real-time Monitoring: Connects equipment signals to display WIP, utilization rates, and yield data instantly. 2. Traceability: Records comprehensive production lot numbers and process parameters for quality auditing. 3. Smart Scheduling: Optimizes production plans based on capacity constraints and order requirements.

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.

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.

Smart City Development Project Solutions 1、EZaquaculture Company：Smart Unmanned Aquaculture Vessel 2、Opportunity Biotech：AquaTrust Fishery Traceability Platform 3、Intumit Inc.：AgenticAI Admin Portal 4、VMFi Inc. ：TransDisplay 5、AdvMeds：AI Health Agent

2. Mid-end line: Model No.: AH6676D - Successful Cases: from 2016~2019, A-MTK shipped 2,000pcs IP cameras to Taiwan Coast Guard project, and the camera has well operated during the warranty period, - Sony Starvis™ sensor is available in 2MP, 5MP resolution - Different angle lens are available. IR LED range is up to 40 meter. - Aluminum die-cast chassis with stainless steel screws. IP67 waterproof certified, IK10 vandal proof certification.

There are increasing demand for self-service and remote-control devices.Besides safety reason, it is also easier for customers to purchase tickets and obtain travel information, plus the added benefits of time saving and convenience. MiTAC’s Smart ticketing solution for tourism was implemented at “Hạ Long Bay” in Vietnam. Passengers can use self-service devices, such as the Ticket Vending Machines, kiosks and POS to purchase tickets, place orders, arrange trips and inquire for additional information. The operators can also utilize automated devices and information system to reduce human resources investment, strengthen operational efficiency, and improve service quality. In addition, the operators can utilize the data collected for big data analysis for precision marketing in the future.

Prof. Chia-Hsin Chen’s Team – An Innovative AI-Powered Tongue Vibration Training System This project develops an AI-driven tongue vibration training system for dysphagia and obstructive sleep apnea. It combines a safe, adjustable tongue device, AI motion tracking with real-time biofeedback, EEG-based cognitive monitoring, and AR-based gamified training to deliver personalized, engaging, and data-driven rehabilitation.

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.

Due to the terrain of Taiwan, how to save water resources become one of the main topics that has attracted the public’s attention. Through the following water facilities, the public could get real-time query of water information. In the future, water alarms will be provided for the public to prevent water disaster. At the same time, it also makes water resources management more intelligent, which can not only save resources but also effectively control them.

"EUP Fleet Management System" can easily manage the core needs of vehicle dynamics, task progress, emergency response, and utilize AI to analyze driving behavior, fuel consumption, and effectively control costs. In addition, EUP provides comprehensive safety driving checks, tracks driver driving habits and physiological monitoring, significantly improving driving safety, and assisting companies in building a safe, efficient, and low-carbon transportation fleet.