P-Waver Inc. is the global leader of AI on-site earthquake early warning system and structural safety monitoring system, providing earthquake early warning before earthquake, intelligent disaster mitigation measures, and structural safety monitoring after earthquake.

Our strength lies in customizing carbon reduction roadmaps for businesses. The content will be tailored based on your company's existing sustainable initiatives, set carbon reduction goals, supply chain requirements, future planning, etc. Each item is followed by practical solutions to address the challenges that businesses may encounter in sustainability.

MiTAC has leverage the RFID technology and integrated with related solutionsto modify the warehousing and production management system. MiTAC's RFID Smart Manufacturing Solution has been applied in various industry, such as IPC, LED, Semiconductor, and textile industry. MiTAC has provided complete RFID application solutions these years from the inventory to production management system. We sees RFID as a game changer. Besides the RFID technology, the integrated application system is also important. MiTAC also develope the application systems. For each different scenario. We’ve developed a different system to work out a more complete RFID solution. We've also used supervised learning AI modules to develop MiTAC’s MiAION SeeR, a failure detection solution. MiTAC's strong software development ability is the biggest advantage.

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.

The personalized property rights inquiry service of "My New Taipei Real Estate", in conjunction with the New Taipei Card identity verification mechanism, has allowed citizens to use their smart mobile devices or computers to inquire about real estate information under one’s own name anytime, anywhere. This service saves citizens travel time and money consumed in the old ways of settling real estate disputes, which required personal appearances at the land office and expenses for the application of cadastral data or transcripts, or the production of a natural person certificate, which is often required to verify the identity of a person. The specific technology used is the first to combine the New Taipei Card's virtual function, to confirm ones identity on a mobile device, avoiding the restriction of using physical cards for verification and effectively overcoming the security problems of identity verification.

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.

There're 5 applications in Smart Indystry area 1.The first robot is service-oriented smart robot. Combining AI intelligent voice interaction. According to the schedule of time and location, advertisements are accurately delivered and data analysis is provided. The second one is cleaning-oriented smart robot. It can clean every angle cleaning with easy operation. 2. “Auto Pilot Drone Plugging AI Smart Identification to Guard System. “ The auto pilot drone with 5G low-latency image transmission and real-time AI analysis could help government stable the safety of society. 3. VIVE XR Elite : HTC has officially revealed VIVE XR Elite at the CES. VIVE XR Elite is the headset for VR and XR. Through the integration of reality and internet, it can bring consumers new experiences. In the future, it will even drive the application development of Metaverse to a new milestone. 4. “Green Energy Traffic Signal Control and Ambulance and Fire Truck Prioritization Strategy” The safety of traffic is very important for citizens. In order to avoid similar accident happens, we provide a strategy to solve it. The ambulance could move quicker, but also safer. 5. Flexible Display : The advantage of flexible display is that it can be bent, folded, but also thin and energy-efficient at the same time. We could reduce the usage of disposable materials.

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.

In 2020, commercial 5G network has come into our lives. Taiwan’s fixed network, Taiwan Mobile Co., Ltd and Taiwan Win TV Media CO., Ltd. launched a 5G smart sports application at the Xinzhuang Baseball Stadium. We use the 5G network to provide the characteristics of Enhanced Mobile Broadband, Massive Machine Type Communications, and Ultra-reliable and Low Latency Communications, and together with local partners in Taiwan to generate a 5G smart application solution ecosystem. This project focuses on the interactive management of fans, and uses many innovative technologies for demonstration, including the key video uses MEC and 5G, integrates 3D modeling animation and collects live light and shadow, provides dynamic and static image playback, high-quality real-time 4K panoramic photography, providing live stream of sports events, AR virtual opening display, giving fans a different visual experience, highly immersive virtual baseball games bring real-life experience, 3D Holographic projection technology is used to interact with virtual player images for pitching and playing games. Finally, it is also matched with the stadium's 3D depth technology and dynamic people counting analytics technology to provide security control requirements for the stadium. The player’s training platform uses sports technology to detect player swing speed, elevation angle, or distance is provided to the coach for immediate adjustment and improvement.

The light rail transit (LRT) system could improve capacity of mass transit. However, most of the accidents occurred because road user run a red light, which affected LRT passenger rights. ž Using lidar/radar to detect the collision event may occurred. (reference the signal phase) ž Notify LRT driver the predicted event by C-V2X V2N solution. ž Outdoor N79 5G private network.

airaTrack is a comprehensive personnel tracking system that utilizes AI algorithms developed by our team to extract features from both the "face and figure." It generates unique biometric IDs with a recognition accuracy of up to 99%, all without the need for registering facial data, addressing privacy concerns. Capable of cross-camera searches and matching 10,000 faces per second, it significantly enhances the efficiency of traditional manual matching processes and increases search efficiency and accuracy by 97% enabling automatic path tracking of personnel in the field. The system also generates investigation reports for evidential preservation.

Video surveillance systems are deployed at many public spaces for Urban security and surveillance purposes such as airports, train stations, and shopping malls. However, it is laborious to analysis and retrieval for specific persons in multiple camera surveillance systems, especially in the cluttered background and appearance variations among multiple cameras. In order to address the problem, this system presents an AI video analysis and retrieval method to extract the human attribute via deep-learning instance-segmentation technology. It uses attributes like clothes color and type to describe a person. The proposed system of person retrieval consists of four steps: (i) using deep-learning instance-segmentation technology to perform pixel-wise person segmentation; (ii) appearance-based attribute features with multi-CNN; (iii) search engine with fundamental attributes matching approach; and (iv) the video summarization technique to produce temporal abstraction of retrieval objects.