Current earthquake early warning (EEW) systems rely on multiple seismic stations to determine the epicenter and magnitude of an earthquake. However, conventional data transmission and analysis typically require 7–10 seconds and are vulnerable to network instability. Such delays may prevent certain populations from receiving timely alerts, posing significant safety risks to critical facilities such as high-speed railways, metro systems, precision equipment, and industrial plants. This study analyzes the maximum Peak Ground Acceleration (PGA) recorded within the first five seconds of seismic activity from multiple monitoring stations across various counties and cities in Taiwan. By leveraging these data, the proposed system overcomes the 7–10 second latency inherent in traditional EEW approaches and introduces a real-time, independent, and adjustable earthquake early warning module. The system requires only five seconds of P-wave data to issue an alert, greatly reducing delay and minimizing reliance on internet connectivity. Furthermore, the alert threshold can be flexibly adjusted according to regional geological characteristics, enhancing both accuracy and localization. Designed to operate autonomously with rapid response, the system effectively addresses the blind spots and false alarm issues of existing EEW frameworks. It can also be integrated with conventional systems to further improve emergency response capabilities for critical infrastructure, industrial operations, and individual preparedness. Ultimately, this system provides valuable seconds for life-saving actions and helps mitigate the impacts of earthquake disasters.