SONOBA COMET is a paperless conference system using tablet computers. Simple, no complicated operation or preparation required. Convenient, one-person operation, all participants can be expressed simultaneously. Information security, delete the information after the meeting. SONOBA COMET” is a product that has been positively received and implemented by a wide range of customers in different industries and business categories, such as banks and brokerages, IT companies and music-related companies, and public institutions like universities and hospitals. As a communication tool, it is performing well not only in meetings but also in various other scenes such as presentations for operating activities, training and seminars, and telemedicine.

Intelligent Positioning System can remotely track the paths, remotely set the access authority, and provide the access alarm and SOS alarm based on configured location Bluetooth sensors. There are three applications: [Guardian Wristband] Authority can know whether home quarantine people are at home. Through the beacon wristband connects with receiver. If home quarantine people are leaving home, the system will send notification to the authority. [Indoor Navigation] Locate users’ position via Bluetooth and precede indoor navigation to let users know their position and find the way in building. This service is applicable to large areas such as airports, stations, department stores, etc. [Intelligence on People Seeking] With smart positioning wristband, users can instantly know current location of their children or parents via App. It could avoid the common problem of missing family.

To meet the high-speed operational demands of modern businesses, we offer stable dedicated enterprise circuits. Enterprise customers can flexibly choose transmission bandwidth according to their actual needs, with specifications ranging from 100M to 1G, and supporting ultra-fast transmission speeds up to 10G, ensuring uninterrupted flow of business information.  

Acer ITS self-develop smart parking meter system provides vehicle detection, license plate recognition, auto-ticketing, multi-payment functions to achieve the goal of payment automation for roadside parking. It also provides instant parking space information so that drivers can see the parking availability through mobile APPs to avoid circling in the city that causing traffic jam and higher carbon emissions. It collects parking information through auto-ticketing system, and feeds in big data platform to produce accurate turnover rate and usage rate. These data are the base of policy making for parking authorities. Applications with automation, intellectualization and mobilization provide drivers with nice parking experiences, and enhance parking management performance for parking authorities. Let smart parking become new smart city indicator for satisfied people and high performance government.

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.

In alignment with global sustainable tourism trends and Taiwan’s “2050 Net-Zero Emissions Pathway,” Nantou County launched the Nantou Sustainable Tourism Campaign (NSTC) in 2024 in partnership with National Chi Nan University. As the first local government in Taiwan to establish a comprehensive sustainable tourism framework, Nantou created NSTC as a platform for training, talent development, knowledge exchange, and strategic marketing to accelerate tourism transformation. NSTC is built on three core pillars. NSTC Talk enhances industry capacity through workshops, training programs, and forums. NSTC Criteria incorporates international sustainable tourism standards to develop localized evaluation guidelines and assess business sustainability maturity. NSTC Travel Guide promotes certified businesses and sustainable itineraries, encouraging responsible travel and green consumption. Through systematic carbon footprint assessments, Nantou has developed nine net-zero itineraries and twenty-three low-carbon routes, covering one- to three-day immersive experiences. These itineraries adopt the internationally recognized Gold Standard carbon offset mechanism to ensure measurable emission reduction. By integrating data-driven governance with green practices, NSTC positions Nantou as a leading model for sustainable tourism transformation and low-carbon regional development.

This service utilizes Measurement While Drilling (MWD) technology to collect critical subsurface information in real time during the drilling process, helping to monitor formation conditions and ensure construction safety. By providing immediate feedback from measurement data, drilling parameters and operational strategies can be dynamically adjusted, reducing unforeseen risks and improving drilling stability. The MWD data also serves as an essential basis for subsequent analysis and engineering decisions, enhancing overall decision-making quality and operational efficiency in drilling operations.

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

1. Economic line: outdoor bullet IP cam. Model No.: AH65C6D - Successful Case: Installed in "Taoyuan Shalun Industrial Zone" for offshore. - Sony Starvis™ sensor, 2MP, 5MP, 4K resolution available for selection - Different angle lens are available. Smart IR LED range is up to 30meter. - Edge AI including person detection as virtual fence, vehicle Detection - Aluminum die-cast chassis with stainless steel screws. IP68 certification and base on project requirements to provide salt corrosion resistant treatment on casing.

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.

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.

Traffic approach warning system is the combination of smart detectors and LED warning signs. The intersection is divided into detection lanes and warning lanes. Smart detectors are installed on the detection lanes. When a vehicle enters the detection area, the signal is transmitted to activate the LED signs on the warning lane to warn drivers to slow down in advance.