ITTS Smart Logistics Solution-AI Video Control Center, from the perspective of practitioners, uses a smart management system to help the logistics company master the three major information of people, vehicles and parcel. The main features are: APP-based mobile control, Smart phones can provide anytime & anywhere control capability  Dynamics Video + image real-time monitoring, real-time conditions of vehicles moving and stopping are clearly visible  Visualization of data reports, clear operational information such as fuel consumption rate and delivery rate at a glance  AI intelligent interpretation, real-time reminder for driving violation judgment, reduce the violation rate, and provide a safe driving environment The accumulation of AI machine learning can be extended to several aspects in the future:  For drivers-through driving behavior interpretation, the driver's condition can be found immediately to prevent dangerous driving; automatic routing suggestions to help novice drivers quickly get started and reach the level of mature delivery  The city management can share real-time road conditions images or video, reflect road level and post-disaster road conditions, and street management capabilities  Provide scientific and technological law enforcement capabilities to localities-image recording of license plate recognition can assist police units in investigating cases

The Central Weather Administration (CWA) is the government agency responsible for earthquake monitoring and reporting in Taiwan. In order to reduce fatalities and property losses caused by earthquakes, a high-density real-time seismic network and the advanced earthquake early warning (EEW) system have been implemented and in operation. Currently, the CWA EEW system can issue the warning message in about 10 seconds after a strong earthquake occurring in or very near Taiwan. Starting from 2021, in order to further enhance the benefit of EEW to the practical earthquake hazard mitigation, the CWA has begun to develop the customized urban EEW system. By means of introducing the on-site earthquake early warning methods, and developing the artificial intelligence models. The systems, particularly for the big urban shallow earthquake, aim to further shorten the time of EEW to 7 seconds. That means it can give warning to the areas about 25 km away from the epicenter, and more people could be alerted before the destructive shaking.

1. Integrating data of water quality and water consumption, the online system will automatically conduct continuous data monitoring, and can be applied for both clean water and sewage water measurement. 2. Real-time monitoring: Seize real-time water information to maintain the stability of water quality and instantly react when abnormal condition is detected, dramatically increasing management efficiency. 3. Smart Dosing Scenario: Integrating automatic dosing equipments with upper and lower alarm settings to ensure dynamic stability of water quality and decrease labor cost. 4. Data Analysis: Apply schedule planning to build up the trend of historical changes and to develop the situation management model. 5. Compliance with the regulations: Complete the full-time management mode, in compliance with the regulations of the competent authority and environmental protection standards. 6. The water quality sensor (specific model) is automatically cleaned without additional consumables and can be cleaned frequently.

Smart Traffic Control System: Traffic Congestion Improvement Project, AI Image Recognition and Management System

Integrated management platform, monitoring of real-time status in city and optimization of planning and operation with 3D digital twin model and data interface. On top of that, we have integrated with BriefCam Video Analytics Platform and advanced facial recognition system Corsight. BriefCam offers a robust portfolio of critical video analytics capabilities, fully integrated for video metadata search, alerting, and visualization. Corsight is an advanced facial recognition system that provides industry-leading accuracy in crowds and challenging environments. By applying the platform for various areas in smart cities such as smart building, smart factory, smart data center, and energy consumption, the users can gain an efficient integrated monitoring and management environment, intuitive monitoring based on 3D digital twin, and fast and effective response to events. It is an optimized solution for command and control centers in order to control every situation and manage operation centrally. Safety & Prevention of Accident • Detection of Aging • Failure of Infrastructure To Create a New Business Model • Management of City Resources and Core KPIs To Maintain Order in City • Public Transportation • Traffic • Parking Management ESG & Cost Control • Smart Energy Operation and Sustainability

1.Special design of water metering structure for users of high-rise building and smart houses. 2.Multiple water meters are connected in series to share the construction cost, which is most in line with economic benefits. 3.Graphical presentation of water usage data helps users manage water consumption. 4.Combined with the alarms of abnormal conditions, if there is suspected water leakage or suspected reverse flow, the system will take the initiative to inform. 5.Assist in water and water conservation management, and help users formulate exclusive usage warning ranges.

In order to achieve the goal of intelligent transportation in Hualien and alleviate the crowds and traffic problems brought about by the opening of the entire Suhuakai line and the traffic problems in the city center, the Hualien County Government has developed a design that conforms to the local characteristics and constructs intersection numbers through the "Development and Construction Design of Intelligent Transportation System". Using smart technology to make traffic policies more accurate. Entrusted "Chunghwa Telecom Co., Ltd." to stage software and hardware in the "2018 Hualien Intelligent Traffic Integration Management System Construction Plan in Response to Su Hua Changing Vehicles", "2019 Hualien County Smart Traffic Management System Expansion Plan", The "109-Year Hualien County Smart Parking and Guidance System Construction Plan", "110-Year Hualien County Smart Road Network Management Integration and Traffic Corridor Improvement Plan" and other projects have been completed successively. There are five functions for overall optimization and refinement: "Cloud Smart Traffic Control", "Restructuring Time Signs", "Traffic Big Data Value-Added Application", "Signal History", and "Smart Parking"

By leveraging AI digital twin models, we predict KPI performance to support decision-making for backup machine selection, enabling energy savings and operational efficiency. Explainable AI is used to analyze the parameters influencing KPI, revealing that air compressor efficiency is strongly correlated with its shaft bearings, highlighting the importance of predictive maintenance for these components. Additionally, an intuitive dashboard visualizes the relationship between demand and supply data, facilitating real-time decision-making and responsiveness. With the integration of LLM Agents, users can communicate seamlessly with digital twins through natural language, enhancing usability and interaction efficiency.

“Chia-E Smart Patrol Car” utilizes AI image recognition and mobile edge computing technology to automatically compare license plate recognition results with stolen vehicles’ blacklist in real-time. If a match is found, patrol officers will be notified immediately by voice warning, so that they can stop the vehicle for investigation. By implementing technology, “Chia-E Smart Patrol Car” can improve the efficiency of investigation, maintain public safety, and maximize the effectiveness of patrolling.

As the response to pandemic and epidemic prevention effort, ARBOR combined “Infrared Thermal Imager technology” with “high performance medical panel PC”, and Recognition AI, to create LK403, Portable temperature and mask detection station.

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.

Taiwan's first domestically developed 5G O-RAN system integrates with Oceanic & Meteorological Applications to collect environmental data related to oceans and geology. Through the analysis of this environmental data, the system anticipates the overall conditions of offshore wind power fields, facilitating operations in offshore wind power. This integration aids in minimizing the needs of offshore patrols and contributes to the establishment of data system for Taiwan's marine energy environment, serving as a foundation for sustainable environmental development.