AI on-site Earthquake Early Warning System A highly optimized system setting and design to sense earthquake P-Wave within 3 sec and through AI model to predict PGA and PGV immediately and send information to customer for further application Product Advantage -Customization by customer demand -Professional team to optimize system set up to avoid environmental noise and interference -Multiple system design to enhance system stability and efficiency -Close loop design for information security -AI model with best system set up for best performance in speed and accuracy -Evolving AI model with more data collection

Millilab provides smart automotive in-cabin solutions, including both hardware and software as well as total solutions for CPD (Child-Presence Detection) and DMS (Driver Monitoring System). With our proprietary algorithms, our radar modules can distinguish between adults and children, helping to prevent incidents where children are left unattended in vehicles.

Detect Traffic Anomalies Quickly. Minimize Risk. Traffic risks arise suddenly and unpredictably, challenging traditional monitoring systems to detect them in real time. With advanced AI-powered video analytics and intelligent event detection, Ability Intelligent delivers real-time, automated identification of traffic anomalies—capabilities that exceed traditional monitoring—by instantly flagging vehicle stoppages, wrong-way driving, congestion, pedestrian intrusions, and other unexpected incidents, all accompanied by visual alerts for actionable intervention. The system proactively identifies abnormal conditions and potential risks, helping traffic authorities shorten response times, prevent incident escalation, and strengthen overall road and public space safety. Ability Intelligent empowers safer, resilient urban transportation with proactive technology.

Powered by AI, this platform provides businesses with compliance management, risk intelligence analysis, and data-driven sustainable supply chain resilience, enabling them to effectively manage their supply chains.

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 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.

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.

The Ministry of Economic Affairs, Department of Industrial Technology has commissioned the Industrial Technology Research Institute's Center for Smart Sensing and System Technology to develop a "Composite Long-Term Air Quality Sensor." This sensor is capable of simultaneously measuring particulate matter (PM2.5), ozone (O3), carbon monoxide (CO), volatile organic compounds (VOC), and other air quality monitoring parameters. Also, the Industrial Technology Research Institute (ITRI) to develop a "Composite Water Quality Sensing System." This system enables simultaneous measurement and detection of parameters such as Chemical Oxygen Demand (COD), Suspended Solid Concentration (SS), Copper Ion (Cu2+) concentration, conductivity, pH value, temperature, and more.

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.

The Ministry of Environment integrates IoT and generative AI for smart environmental governance. For fire emergency response, our AI-powered system provides real-time assist during challenging periods like weekends and midnight hours. Through an AI Q&A system, emergency personnel can instantly analyze air quality data and weather information, enabling quick response and public notification. This has reduced response time by 66% and decreased public complaints from 70 cases to single digits.

ITS traffic data collection has solved the laborious and time-consuming task of manually calculating traffic flow in the past. It aims to achieve the goals of smoother road conditions and reduced accidents through intelligent traffic diagnosis. By utilizing intelligent transportation systems, the system automatically tracks vehicles, identifies vehicle types, predicts trajectories, and transforms the data into useful information. This assists in real-time interpretation and improvement of traffic engineering. This system is particularly crucial in Taiwan, where over 60% of traffic accidents occur at intersections. Through big data analysis, identifying issues and formulating solutions is possible, thereby lowering accident risks. This approach proves more effective than simple advocacy and alerts.

We offer comprehensive ODM services for integrated AIoT elevator applications, supporting clients from design to mass production in creating customized smart elevator solutions. Our services include hardware design, software development, and third-party system integration to meet diverse application requirements. With our ODM expertise, clients can launch innovative products quickly, reduce R&D costs, and enhance market competitiveness.