Smart Underground Parking with Flood Detector

Abstract

This paper presents the development of a smart underground parking system integrated with flood detection using infrared and water level sensors. The system utilizes Arduino and ESP8266 modules for data processing and IoT-based data transmission. Testing involved basic performance assessments to evaluate the accuracy of vehicle detection and flood monitoring. The vehicle detection system achieved an 80% accuracy rate using infrared sensors, while the flood detection system effectively tracked water levels. These features enable timely responses to potential flooding and parking issues, helping to minimize damage and improve safety. Real-time monitoring and alert notifications are provided through the Blynk application, enhancing user awareness and system responsiveness.