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

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

Mrs. Shruthi T V1, Sai Kushala D2, Soundarya P3  , Spoorthi A V4  , Vismita5

1Associate Professor, Dept of ISE, East West Institute Of Technology, Bengaluru

2,3,4,5 Student, Dept of ISE, East West Institute Of Technology, Bengaluru

Abstract - 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.