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.

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.

Leveraging its strong telecommunications and ICT integration expertise, Far EasTone delivers comprehensive smart building solutions for modern, data-driven environments. With a reliable fiber backbone, 4G/5G and Wi-Fi networks, and IoT technologies, Far EasTone seamlessly connects on-site sensors, surveillance, access control, and environmental systems to create a secure and resilient data infrastructure. By adopting open communication protocols, Far EasTone enables cross-system integration, consolidating previously fragmented power, fire safety, HVAC, and low-voltage systems into a unified building management platform. This ensures intelligent centralized monitoring and coordinated operations across all building systems. The platform offers real-time monitoring, data analytics, operations and maintenance management, and AI-powered Digital Twin visualization. It empowers building owners with full lifecycle visibility, reduces energy consumption, enhances operational efficiency, and delivers safer, smarter, and more sustainable buildings.

EZESG by Trade-Van Information Services Co. helps enterprises systematically complete organizational greenhouse gas (GHG) inventories in accordance with ISO 14064-1, strengthening carbon management and enhancing transparency in information disclosure. The system enables rapid establishment of an emissions source database by integrating data from energy consumption, raw materials, and operational activities. Through AI-powered OCR, it automatically identifies information from utility bills such as fuel, water, and electricity. It also incorporates Google Maps mileage calculations and taxi carbon emission models to estimate emissions from transportation activities. With built-in intelligent calculation models, the platform automatically consolidates Scope 1, Scope 2, and Scope 3 emissions data, reducing manual errors while improving data consistency and reliability. The system also supports one-click generation of GHG inventory reports and supporting documentation, simplifying procedures and shortening preparation time. Through digitalization and intelligent management, it helps enterprises respond to international regulatory requirements and steadily progress toward net-zero emissions and sustainability goals.

To establish a civil participation mechanism to widely gather opinions from all sectors, the National Development Council has established the "Just Transition Commission." The committee follows a principle of equal representation between governmental agencies and civil society. Members serve a term of two years. The government agency representatives on the committee are deputy ministers from ministries responsible for the 12 key strategies of the 2050 net-zero transition and related issues of just transition. In addition, the members of the civil society include citizen groups focused on environmental, labor, and indigenous issues, as well as representatives from social enterprises and experts/scholars in the field of economic industries. The committee has four working groups: an academic group, a strategic review group, an issue identification group and an influence group. The public-private partnership will work together to promote a net-zero fair transition. Additionally, this year, multiple public consultation sessions are planned to gather current visions and expectations for a net-zero fair transition from all sectors, aiming to enhance public awareness of net-zero carbon emissions and fair transition.

Smart City Development Project Solutions 1、Moovo Mobility：MOOVO Smart Docking System 2、EasyCard Corporation：Food Rescue 3、Taiwan International Development：City Digital Management Platform

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.

Hybrid work and temporary employment often lead to chaotic and decentralized attendance management. AIRA's Facial Recognition Solution simplifies personnel management. Without external hosting equipment, the airaTablet Plus integrates access control, attendance reports, and video streaming into a single device. It features the facial recognition system, airaFace, ensuring precise identification of faces within 1 second. Users can customize clock-in periods and export automatic attendance reports. The built-in multi-mode dashboard caters to various scenarios, such as attendance, occupancy and welcom dashboard. Moreover, the system seamlessly integrates with the central management system, airaManager, which can cnetralize attendance data from each office. The encrypted transmission enhances security, ensuring a comprehensive and secure solution for pesonnel management

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.

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.

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.

C.ai: Conversational service platform is recommended as the best autonomous solution for enterprises to implement LLM intelligent assistants and related applications. It features easy editing with No-Code/Low-Code, easy integration with internal and external systems, and a complete service interface. With LLM application compliance and governance, enterprises can choose to integrate various suitable language models to enhance AI implementation capabilities. It supports various communication software and browsers, completing design and launch in one stop.