The BSMX series of early warning modules for lithium battery thermal runaway, developed by Taiwan Intelligent Pollutant Sensing Co., Ltd., is a next-generation BMS upgrade solution that requires only simple installation to integrate with existing systems. The module is equipped with high-sensitivity sensors developed specifically for energy storage safety applications, with a rapid response time of as fast as three seconds. The module offers multiple signal output interfaces to choose from and features a proprietary smart algorithm that eliminates the need for calibration after installation. It is particularly suitable for energy storage systems that operate continuously for long periods and are difficult to maintain. E-bike version has a significant improvement in power consumption.

LiftMind is a non-invasive AIoT elevator add-on system that enables rapid upgrades to smart functionality without modifying existing elevator control systems. The system leverages advanced external sensors and AI technology to deliver features such as passenger flow monitoring, emergency incident alerts, user behavior analysis, elevator operation optimization, and enhanced, user-friendly riding experiences. Its open architecture seamlessly integrates with Building Management Systems (BMS) and other IoT devices, significantly improving elevator management efficiency and user satisfaction. LiftMind supports a wide range of elevator brands and models, offering flexible adaptability to various application scenarios, making it the ideal solution for smart building upgrades.

Smart Public Transportation System: Intelligent Vehicle Infrastructure, Intelligent Bus Stop, Advanced Driver Assistance System, and Real-Time Bus Information System

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 need of video surveillance has increased with the issues of campus, public places security and intelligent transportation. What’s more, high-resolution image, identification, analysis and AIoT applications are getting popular than before. People are strict in the performance of transmission and computing. Internet communication technology has entered a new era as well. To achieve intelligent service, zMEC ’s platform as service through Kubernetes-based architecture which can not only integrate with the third-party but also expand different AIoT software application modules, such as identification and analysis, electronic fence. Besides, the technology of edge computing can reduce the demand of video and audio data for cloud center computing access and network bandwidth resources, so as to make up for the problem of traditional cloud computing delay and unsafe transmission link. It meets the need of high frequency bandwidth and low latency, and to satisfy the needs of information security and privacy protection.

Self-developed wireless low-power high-capacity communication protocol, suitable for medical IoT devices that pursue high battery life and low latency, and can connect 2,000 devices

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.

Billion Electric Group , in collaboration with Taiwanese partners, has successfully deployed 495 kWp of solar PV and 1,997 kWh of battery energy storage systems (BESS) in Palau, Tuvalu, and the Marshall Islands. These modular microgrids reduce reliance on imported fossil fuels, ensuring stable green energy supply for agriculture, aquaculture, and local communities. The project is expected to cut carbon emissions by 800 metric tons annually, with over 50% renewable energy self-sufficiency at aquaculture centers and demonstration farms. Meanwhile, livestock farms, offices, and dormitories now operate on 100% green energy, significantly lowering both energy costs and environmental impact. Billion Electric Group provides end-to-end energy solutions, from R&D and manufacturing to system integration and deployment. The project features MIT ( Made In Taiwan) renewable energy technologies, including Billion’s Fusio series BESS, Giga series PV inverters, and an AI-driven EMS (Energy Management System). The system enables real-time power optimization, bidirectional energy transmission, and cloud-based monitoring platform, significantly enhancing grid stability and energy efficiency.

MyGuardian Pro (Model: XC-209) is a portable emergency help device designed for the elderly to use when going out. In addition to the SOS one-button passive calling design, it also provides active calling for help with fall detection, helping many children or individuals to take care of disabled or elderly elders. If an elderly person accidentally falls or needs special assistance, the cloud server will send an online alarm ticket to the caregiver (the caregiver must install the APP), making your family's daily life safe and secure.

By applying environmental sensing IoT technology and mobile sensors, the coverage of sensing can be significantly enhanced. With the analysis through AI algorithms, it assists governments in identifying potential sources of pollution for regulatory actions and pollution reduction measures. Meanwhile, supplemented by generative AI innovation technology, it achieves smart environmental governance.

According to the design in a 20-foot container, the noimal output power can be selected by 100/150/200 or 250 kW (optional), and the total capacity of Lithium-ion battery is 272 ~ 408 kWh (optional). The whole system, including battery, PCS and other auxiliary system. This solution can be integrated with Grid, solar PV system, Diesel genset to form a regional power system (microgrid).

Wave guide photovoltaic energy harvest system provides 75% more power than traditional solar panel. Highly decreasing cost of maintenance and set up. Waveguide owns unique talents of easy shapeable, colorful, and scattering light collection, which can help PVs to be lightly integrated into devices and create an energy-smart sustainable future.