Artificial Intelligence and Advanced Technology based Bridge Safety Monitoring System

In this study, wireless technology is used to provide a bridge security checking framework based on IoT. The robotized continuous scaffold wellness checking framework was developed with the assistance of breakthroughs in sensor technology. This method will help CEOs plan for and recover from disasters. The Wireless Technology is employed in the development of an IOT-based bridge security checking framework. Remote sensor hubs can collect several forms of data, such as vibration, water level, and bridge weight. These particulars would also be relevant for verification and observation. The primary purpose of this research is to develop a system that can detect and avoid flyover and extension mistakes, as well as underlying disasters. This study provides an overview of the various techniques used to screen the states of the scaffolds and proposes a framework for assessing constant designs as well as a water level sensor for monitoring the water level in the stream in order to keep traffic away from flood situations using AI calculations. If a crisis occurs, the Bridge’s doors will close as a result. The collected data is delivered to the server and data set, allowing managers to monitor the extension situation using portable telecom devices.