In order to save the use of natural resources, implement resource recycling and reuse, reduce processing costs and reduce environmental load. We use the recycling processing technology to transfer the remaining cutting materials of the ALC body, as well as industrial by-products and domestic waste resources (waste glass) back to the ALC raw material for use. Actual testing of the product shows that the reuse technology is feasible, the quality is stable, and the efficiency of waste reduction and carbon reduction is high. Now It has obtained the environmental protection label from the Ministry of Environment and the green building materials label from the Ministry of Interior.

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.

Leveraging on-site equipment, process steps, control settings, and product status, we enable abnormality detection, scheduling simulations, root cause analysis, troubleshooting, and actionable scheduling suggestions. Virtual measurement enhances MES data quality, boosting SPC alarm accuracy to 95%. By integrating MLOps and AutoML, we connect factory MES, SPC, WAT, and scheduling data to deliver precise abnormality predictions up to 8 hours in advance.

Automated License Plate Recognition (ALPR) is widely employed in areas like highways, parking lots, urban roads, and many other controlled areas that need traffic management or law enforcement to preserve both the safety of road users and vehicles. However, ALPR encounters diverse environments and unexpected challenges, making it crucial to develop more efficient and precise solutions. FETCi AI ALPR Supports license plate designs and formats from over 100 countries, including various colors and fonts used in Asia and the Far East. Stacked letters and complicated background can also be identified through the power of AI.​ FETCi's AI ALPR solution features easy integration and high recognition success rate; it combines FETCi's accumulated decades of Toll Collection experiences and practical events database and analysis. With the assistance of FETCi's professional technical team, you can quickly build a complete, highly accurate, and easy-to-operate AI ALPR solution.

Founded in 2019, Millilab is a mmWave radar engineering services provider. The team comprises experts in RF, IC, and algorithms related to mmWave technology. Our mission is to apply the safest and most reliable sensing technology to the IoT domain, offering sensing solutions that are both privacy-preserving and accurate. Our services include mmWave radar total-solutions, as well as hardware and software development. Through our proprietary algorithms, we can detect object position, distance, movement, and vital signs, effectively distinguishing between adults and children. Applications include in-cabin sensing, smart home appliances, elderly care, and more.

Founded in 1998, Openfind has been dedicated to helping businesses leverage communication and collaboration services. We offer a comprehensive range of solutions, including enterprise search engines, email, email protection, email archiving, auditing encryption, file sharing, as well as instant messaging and online collaboration. For Openfind's product line, we incorporated AI applications to offer customers a smoother and more secure user experience. To accelerate email processing efficiency, Openfind provides AI-powered features such as email summarization, writing assistance, and content rewriting. In email security and auditing, it can detect and prevent potential attacks and data leaks, while archiving all incoming and outgoing emails for future auditing purposes.

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.

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.

Civil IoT Taiwan is part of the government’s Forward-looking Infrastructure Development Program under the Digital Construction initiative. With the collaborative efforts of the National Science Council, Ministry of Environment, Ministry of Economic Affairs, Ministry of Agriculture, Ministry of Transportation, Ministry of the Interior, Ministry of Digital Affairs, and Academia Sinica, the project is jointly executed across departments, prioritizing four key areas: air quality, water resources, earthquakes, and disaster prevention and response. By leveraging artificial intelligence and IoT technologies, various smart living services are developed to assist the government and the public in jointly addressing the challenges brought by environmental changes. By combining the innovative power of industry, academia, and research, the project aims to develop the IoT industry ecosystem and export solutions internationally.

The iMADC-STD is an automated dispensing cabinet that provides a safe and accurate medication management solution in the pharmacy. It dispenses medication, controls inventory, manages user access, reduces time, and improves efficiency for the facility. ADC optimizes the dispensing process, reduces human error and workload for pharmacists and nurses, and truly improves drug management.

LiftConex is an elevator control solution specifically designed for smart robots, offering fast, reliable communication and seamless integration. Whether for logistics delivery robots or cleaning robots, LiftConex enables autonomous interaction with elevators, helping robots efficiently complete inter-floor tasks. The system supports cross-brand and multi-model elevators, enabling compatibility with robots through various communication protocols. Enhanced with AI capabilities, LiftConex can monitor site conditions, such as detecting the number of passengers inside the elevator and reporting elevator floor status, optimizing the robot’s elevator usage process while adapting to complex environmental changes. Additionally, LiftConex enables dynamic scheduling and optimization in multi-elevator scenarios, making it suitable for commercial buildings, healthcare facilities, and smart warehouses across diverse application environments.

NETCenter is an integration and management application, which provides various management functions, like: fault, configuration, accounting, performance and security. All connections and network equipment are under control, you won’t disconnect any network connection, then figure out the problem. Our innovative features are: 1. No need to install a front-end application. No add-ons are need. Remotely manage via Web Browser. 2. Provides Auto-Discover and Topology and automatically generates an L2 Topology. 3. Supported Protocols: SNMP v2C/v3, Telnet, FTP, SMTP and ICMP. NETCenter manages all equipment that supports CLI (Command Line Interface). 4. Provides professional customized services to satisfy enterprise IT infrastructure management. Smooth and stable networks are affected by the rate of information exchange, also it’s an important symbol of an enterprise. Almost all enterprises use multiple vendor's equipment. In conclusion, NETCenter can reduce TCO and increase ROI.