Bridge Safety for a Secure Society Using AI and IoT for Infrastructure Monitoring

The Bridge and Boat Monitoring System is intended to improve safety and operational efficiency of both bridges and waterways, through two integrated modules: the Bridge and the Boat. It is a Bridge Module made by Arduino, equipped with IR sensors for detecting any vehicle approaching, a load cell to monitor weight, a water level sensor and motorized gates to gain access under control. The Boat Module, which is also Arduino-based, contains a wet sensor and a tilt sensor (ADXL345) to detect water entry and ensure stability. For crack detection and structural health assessment of the bridge, the system utilizes YOLO v5, which is a state-of-the-art deep learning algorithm that can accurately and timely identify problems. Zigbee technology provides seamless wireless communication, allowing for real-time data sharing to support proactive maintenance and informed decision-making. Key Words: Crack detection, YOLOv5, Structural health, Zigbee, Arduino.