We are committed to creating a convenient and safe smart community living experience. Our services integrate the Wofu Community APP for residents, the installation of surveillance cameras in public areas of the community, and advanced lane management and license plate recognition systems to achieve technologically advanced community access and security management.

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.

IISI has a number of solutions for smart image processing, the main application areas are smart transportation, smart disaster prevention, security monitoring, etc. The main products include iTrafficView and iSurveillance. iTrafficView is a server-based image recognition detection system that receive real-time video streaming from on-site network cameras and instantly performs image recognition and event detection to provide monitoring services immediately. Furthermore, the system records related identification and detection data for consecutive statistical and analysis procedure. The advanced hybrid DVR and intelligent management platform offers a one-stop solution to enhance both analog, digital, and IP convergence. "iSurveillance" is an intelligent Hybrid DVR that supports analog and IP cameras. It applies the ASF compression for efficient data management, flexible and compatible with various brands of surveillance devices.

In recent years, the number of motor vehicle noise cases has increased, and it has been a concern for people in Taiwan. In order to protect the living environment and eliminate improper vehicle modifications, the Ministry of Environment has used acoustic camera technology for law enforcement since 2021. The system contains several scientific instruments, including a license plate recognition function that helps authorities identify noisy vehicles. Technology also improves inspection efficiency and quality of noisy vehicles. Existing roadside inspections require onsite noise measurement. The stationary noise test takes at least 20 minutes for each vehicle. Law enforcement using acoustic camera technology can simultaneously record videos, take photos, identify vehicles and complete noise measurements, to increase efficiency by a factor of 200. It is no longer necessary to use a large amount of manpower to carry out checks and inspections, greatly reducing labor costs. The Acoustic Camera equipment equipment used in this exhibition is provided by OE Scientech Co., Ltd. They not only supply fixed or mobile sound-based photography equipment to Taipei City, Taichung City, Chiayi City, and Changhua County but also have extensive experience in assisting with technology enforcement operations.

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.

- Zero-Code AI Security Enable enterprise-grade protection via an OpenAI-compatible API—no code changes required. Instantly defend against Prompt Injection and PII leakage. - Flexible Enterprise Guardrails Supports Inline and Shadow modes with Prompt & Response Guardrails to detect and block risky interactions in real time. - Scalable AI Governance Built for scale with auto-scaling, multi-tenant management, and seamless SIEM/SOC integration via Alert APIs.

A-MTK has extensive experience across diverse CCTV environments and understands the challenges of outdoor parking lots, where terrain, power availability, and network limitations often restrict the deployment of complex hardware or large sensor arrays. To overcome these constraints, A-MTK developed a solution centered on advanced image recognition: Single-Camera Multi-Space Recognition, combining high-resolution ultra-wide-angle IP cameras with AI analytics software. In a typical 20 m × 15 m parking area, a single ultra-wide-angle camera mounted at 4 meters or higher can monitor the entire space. Smart counting software accurately calculates vehicle occupancy, while digitally mapped parking stalls can integrate with third-party platforms to enable real-time parking guidance. This solution is well suited for highway service areas and large outdoor parking facilities, offering key advantages such as lower deployment cost, reduced maintenance needs, and high flexibility across varying site layouts. Beyond technical innovation, A-MTK reflects the social responsibility of trusted domestic brands by delivering efficient, reliable, and locally optimized smart parking solutions for modern cities.

SEO is dead. GEO is the future. Consumers no longer click links — they ask AI for answers. Will your brand show up? Citora.ai is a Generative Engine Optimization (GEO) platform built for the AI era, ensuring your brand gets mentioned and recommended by ChatGPT, Gemini, and other AI engines. Our proprietary Generate-Test-Optimize loop automatically translates your content into AI-native language, monitors your brand's visibility and ranking across AI engines in real time, and tracks competitor movements to deliver precise optimization strategies. In the world of AI, citations build trust, and recommendations drive traffic. Citora.ai helps you capture the AI search advantage — and stay ahead.

airaTrack is a comprehensive personnel tracking system that utilizes AI algorithms developed by our team to extract features from both the "face and figure." It generates unique biometric IDs with a recognition accuracy of up to 99%, all without the need for registering facial data, addressing privacy concerns. Capable of cross-camera searches and matching 10,000 faces per second, it significantly enhances the efficiency of traditional manual matching processes and increases search efficiency and accuracy by 97% enabling automatic path tracking of personnel in the field. The system also generates investigation reports for evidential preservation.

-) Prognostics and Health Management -) AIR & Expert Assist -) AIR Design Builder -) AIR Quality Check -) AIR APPs in Cloud

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.

With the emergence of technologies such as 5G, the Internet of Things, Artificial Intelligence and Cloud Computing in recent years, the server industry has experienced explosive growth. In line with the two major trends of "software definition" and "open standards," private industry and governments are collaborating to promote numerous high-tech research projects and the development of critical technologies. As the cloud industry chain continues to evolve, the annual power consumption of data centers, which are made up of numerous individual servers, increases greatly. Consequently, the effective thermal management of servers and data centers has become an increasingly crucial issue.