Edge Computing-based Intelligent Manhole Cover Management System For Smart Cities

This project proposes an Edge Computing-based intelligent system for the efficient management of manhole covers in smart cities. The system integrates various IoT components, including an Arduino microcontroller, a webcam, ultrasonic sensors, GSM module, GPS module, and NodeMCU, to monitor and manage the condition of manhole covers in real-time. A webcam, supported by Python-based image processing, detects any anomalies or damages to manhole covers, while the ultrasonic sensor identifies physical obstacles or displacements. When any irregularities are detected, the system immediately activates a buzzer for alerting nearby individuals and sends an instant notification through the GSM module. Additionally, the GPS module records the precise location of the affected manhole cover, which is then uploaded to the ThingSpeak IoT cloud platform via NodeMCU for remote monitoring, data visualization, and tracking. This edge computing-driven system ensures prompt maintenance responses, enhances urban infrastructure management, and contributes to the safety and efficiency of smart city operations through real-time anomaly detection, immediate alerts, and geolocation-based tracking.