SMART EARTHQUAKE DETECTION AND ALERT FRAMEWORK USING ARDUINO AND VIBRATION SENSORS

Abstract

Earthquakes are among the most destructive natural disasters, causing significant loss of life, infrastructure damage, and economic disruption worldwide. Early detection and timely warning systems play a crucial role in minimizing the impact of seismic events by enabling rapid emergency response and public preparedness. Recent advancements in embedded systems, lowcost sensors, and Internet of Things (IoT) technologies have facilitated the development of intelligent earthquake monitoring solutions capable of real-time seismic activity detection. This paper presents a Smart Earthquake Detection and Alert Framework Using Arduino and Vibration Sensors designed to provide reliable, cost-effective, and real-time earthquake monitoring and warning capabilities. The proposed system utilizes vibration sensors interfaced with an Arduino microcontroller to continuously monitor ground motion and detect abnormal seismic vibrations. Sensor data are processed using threshold-based and signal analysis techniques to differentiate earthquakerelated vibrations from environmental noise. Upon detection of seismic activity exceeding predefined thresholds, the system immediately activates local alarms and transmits alert notifications to monitoring stations and connected users through wireless communication modules. The framework incorporates real-time data acquisition, event classification, alert generation, and remote monitoring functionalities to improve situational awareness during earthquake events. Experimental evaluation demonstrates high detection accuracy, rapid response time, and reliable alert dissemination under various vibration scenarios. The results indicate that the proposed Arduino-based framework provides an effective and affordable solution for earthquake monitoring applications in residential buildings, educational institutions, industrial facilities, and disaster-prone regions. The developed system contributes to enhanced public safety, improved disaster preparedness, and the advancement of intelligent early warning technologies for seismic hazard mitigation