AI air-conditioning energy-saving technology controls existing systems to achieve an energy-saving rate of 10%-30%. It can be applied to energy-saving solutions for air-conditioning systems, heat pump hot water systems, and information room systems. This service has been used in Taipower Building, Taipei Post Office, and the two national agencies, and has achieved 25%-60% air conditioning energy saving rate. This service has the characteristics of "smart", "low cost" and "immediate effectiveness". It does not rely on the energy-saving strategy of "hardware replacement “, but focuses on "software implement" to achieve "rapid deployment" and "short payback period". ”, “effective energy saving”.

Key Features: 1. First-Line Local Security Protection and Control - Equipped with a trusted edge computing platform, meeting industry needs for an IoT operating environment. 2. Quality of Service (QoS) Maintenance in Emergencies - Ensures system and service operation during unexpected network interruptions. 3. Trusted and Secure OTA Update Mechanism - Guarantees stability of device updates and prevents malicious software attacks on IoT devices. 4. Secure IoT Operating Environment Meeting Industry Needs - Industrial computer-grade hardware and software integrated system, resistant to extreme working environments, stable and reliable, compatible with OCPP 2.0 industry standards.

Through 5G’s features of high speed, low latency and big connection, the 5G enterprise private network can provide highly secure and reliable network services. In order to avoid the outflow of sensitive data, enterprises can transmit data on this internal network to keep it isolated from the public network. Currently, this is being used in manufacturing, medical, transportation, and in other industries which also have demanding network quality requirements. Chunghwa Telecom’s self- developed "5G intelligent A +" private network service adopts independent core network technology and can connect to both the N78 public network and the N79 private network at the same time. It also has a number of world-leading exclusive functions, including the ability to determine whether data can enter the enterprise intranet based on conditions such as serial number, IP, and website address. It can also adjust bandwidth and data access rights based on person, time, and location. Combined with cloud and a variety of other application services, the CHT 5G private network enables enterprises to establish a complete network solution.

Carbon Star is a specialized greenhouse gas (GHG) inventory management platform developed by StarTrust Systems, offering enterprises extensive carbon management capabilities. The platform encompasses organizational greenhouse gas inventories (ISO 14064-1) and product carbon footprint inventories (ISO14067), featuring the most extensive functional modules to enable enterprises to effectively gather carbon emissions data throughout their operations. 1. The platform is equipped with calculation benchmarks for carbon emissions and the latest factor data, facilitating enterprises in promptly collecting and computing data. 2. It integrates comprehensive management functions, including approval workflows and reminders, to assist various departments within enterprises in effectively managing greenhouse gas emissions. 3. Departmental access is segregated to ensure confidentiality across departments, allowing cross-departmental retrieval and referencing of only designated data. This measure guarantees the confidentiality of information from both manufacturing facilities and product domains. 4. Carbon Star automatically generates reports and emission inventories swiftly, streamlining enterprise management and verification processes. 5. Data analysis results are presented through a dashboard interface, empowering enterprises to compare and analyze data efficiently.

Smart G4O Quick Map Platform Technical Features • Web GIS Studio WYSIWYG(No code/Low code) interface for accelerated design workflow. • Seamless 2D/3D Immersive Digital Twin applications. • Integrated Multi-Service Support Compatible with OGC, ArcGIS, and MapGuide spatial services. • Advanced GIS Layers Built-in layer settings and searching mechanism for autonomous management. • Component Expandability Supports AR, AI, and other application modules to enhance functionality and application scenarios. • Interactive Map Dashboard Real-time synchronization of IoT data with map areas, suitable for dashboards. • RWD+PWA Design Mobile-first approach with smart tables ensuring high readability across devices. Supports cross-platform access and offline spatial data and map.

This project uses the 阡陌(QianMo) System, which drawing the road profiles, markings, signs, and signals based on the road geography data as a universal base map, to integrate cross-domain digital applications. Besides, 阡陌(QianMo) System has developed an application on mobile phone, through this application, user can complete the case opening, drawing, conversation recording, and photo-taking operations on-site, and convert the accident cases into collision elements in accordance with time, vehicle type, direction, collision type, and number of casualties. On the other hands, when handling improvements for accident-prone intersections, 阡陌(QianMo) System can overlay the elements to implement the collision composition analysis serves as a scientific proof and visualization tool for researching traffic improvement measures and explaining accident risk hotspots. Besides, after the subsequent engineering improvements, user can provide revision of road geography data as the feedback. Through this mechanism, which can achieve a digital governance cycle. Finally, through 阡陌(QianMo) System , this project integrates cross-domain applications related to police administration, transportation bureau, and engineering industry to improve driving environments and prevent traffic accidents.

Wearable laser therapy device combines with BLE and cell app to become the world’s first AIOT laser therapy device. Due to it is compact and easy to carry, cell phone app can text the users to use the protocol on time based on his using habits at any time and anywhere, which becomes a new helper of rehab in home-based medical programs and precision health.

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 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.

The "Dosage Evaluation Method" applies AI technology to assess dosages for high-risk medications, using Vancomycin as an example. This method addresses limitations in clinical practice, where dosages are typically determined by physician experience or population pharmacokinetic parameters, which may not account for individual patient variability. Although several AI-based prediction models for dosage evaluation currently exist, most of these models directly suggest dosages, often without fully considering physician expertise. The innovation of this method lies in its approach to validating only the physician-selected dosage, providing reference feedback without influencing the physician’s final decision. This design not only respects the physician’s professional judgment but also enhances the safety of medication administration.

Our energy management system can generate energy management data chart, display real-time 3D status display. Usage fields includes "Air conditioning system", "lighting control system", "charging pile management system", "energy storage management system", "power management system". It reduces the customer's risk of integrating different system interfaces and improve overall energy use Efficiency, the system regularly sends "Energy Verification Report", "System Efficiency Report", "Maintenance Notice" and other information to comply with the information required by the Energy Management Act, ISO14064-1, ISO50001, ISO14067 and other standards, reduce labor costs and consolidate data time, and can interface with traditional SCADA system information to upload to the cloud, solving the problem that traditional systems cannot be remotely monitored, allowing customers to get twice the result with half the effort on the path of ESG, energy conservation and carbon reduction.

Vehicle Classification enables transportation authorities to automatically identify and classify vehicles according to their visual attributes. This technology finds widespread application in traffic management systems, toll collection, parking facilities, and security setups. FETCi leverages AI algorithms and machine learning methodologies to analyze video data collected through LiDAR technology. With an extensive database and repository, FETCi's AI AVC proficiently sorts vehicles into distinct categories, including cars, trucks, motorcycles, buses, and more. By integrating LiDAR technology with AI-powered image recognition, FETCi establishes a vehicle recognition system equipped with self-enhancement and deep learning capabilities.