Virtual Booth

TSinkholes pose a significant threat to infrastructure and human safety, particularly in rapidly urbanizing areas. Traditional detection methods, such as ground-penetrating radar and seismic surveys, are often costly and unsuitable for continuous monitoring. This study explores the use of soil vibration sensors integrated with an Arduino UNO for real-time, cost-effective sinkhole detection. The system operates at 5V and utilizes C++ programming within the Arduino IDE to capture and analyze vibration data, identifying anomalies associated with early sinkhole formation. Key advantages include non-invasive monitoring, high sensitivity, and continuous data acquisition, though challenges such as environmental interference and data interpretation remain. This innovation supports SDG 11 (Sustainable Cities and Communities) and SDG 13 (Climate Action) by promoting safer infrastructure and enhancing resilience to environmental hazards.