Team Members
Summary
Autonomous drone-based infrastructure inspection leads to reduced costs and man-hours compared to manual inspection. In addition, it enables service providers to inspect infrastructure that is difficult or near impossible to safely inspect manually and offers greater reliability in terms of the accuracy of the data gathered during the automated inspection. In this project, we will perform a fly-by analysis of the infrastructure using sensors that are embedded or mounted onto the drone system. After the completion of the fly-by analysis, the data is pre-processed, and machine learning models are applied to analyze and detect possible faults.