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.

Micro-grid refers to the integration of distributed power sources and energy storage system in a certain area to supply the electrical energy needs of users in the area. It's a regional power grid with the ability to control power, which can disconnect from the traditional large power grid and operate. Installing green electricity can help reduce peak mobile electricity bills, and you can also get a green electricity voucher. Likewise, peak shaving and valley filling can reduce the maximum load demand and reduce the contract capacity with saving electricity bills. In emergency micro-grid could supply certain amount of electricity through energy storage system as well.

Knowledge management solution receives another level! Integrating Generative AI, Search Engine, and NLP technologies, AI Search for KM produces precise and customized responses, offering users a better experience in knowledge search and QA services. We integrate Generative AI and intelligent Search Engine for knowledge management, assisting in the digital transformation of enterprises and enhancing productivity. Solving pain points encountered by technicians and aligning with user application needs.

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.

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.

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.

An acceleration platform that provides AI partners with comprehensive upgrades in technology, products, and markets. Since 2021, Taiwan AI Cloud has launched the “AIHPC Accelerator” to foster a collaborative AI ecosystem. The AIHPC Accelerator program is designed to support AI startups in matching with smart application scenarios and commercializing their products. By complementing the roles of third-party accelerators, incubators, and startup support centers, Taiwan AI Cloud provides a comprehensive business development platform for Taiwan’s AI startups. Within just one year, the program achieved outstanding results, signing partnerships with more than 60 startups.

The need of video surveillance has increased with the issues of campus, public places security and intelligent transportation. What’s more, high-resolution image, identification, analysis and AIoT applications are getting popular than before. People are strict in the performance of transmission and computing. Internet communication technology has entered a new era as well. To achieve intelligent service, zMEC ’s platform as service through Kubernetes-based architecture which can not only integrate with the third-party but also expand different AIoT software application modules, such as identification and analysis, electronic fence. Besides, the technology of edge computing can reduce the demand of video and audio data for cloud center computing access and network bandwidth resources, so as to make up for the problem of traditional cloud computing delay and unsafe transmission link. It meets the need of high frequency bandwidth and low latency, and to satisfy the needs of information security and privacy protection.

Multi-payment bus validator takes smart card, mobile payment for bus fare. The transaction data transfer through designated channel to the backend system, smart card issuers, mobile payment operators to perform clearance process. All the validators comply with operation standards and receive certification from smart card issuers, mobile payment operators and TTIA.

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.

During WirForce 2024, the largest LAN Party in Asia, the Omada business networking solution provided full network support for 1,400 BYOC players. Over four days, the network handled more than 6,000 wired devices and 800 wireless devices, with total data traffic exceeding 1,800TB, demonstrating exceptional performance and reliability. Through the Omada centralized cloud management platform, network administrators were able to monitor network status in real time, rapidly identify issues, and maintain high-speed, stable connectivity throughout the event. Key components included EAP773 Wi-Fi 7 access points, delivering BE11000 ultra-high-speed connections and seamless roaming, along with high-performance L2/L3 switches supporting 10G throughput and PoE power to ensure stable data transmission under extreme traffic loads. An OC300 hardware controller enabled real-time monitoring and flexible network management. By successfully addressing the challenges of ultra-high density and massive traffic demand, Omada and WirForce jointly delivered a premium esports networking experience.

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.