The customer reached out to us with the problem of inspecting Wind Turbines from the images captured from drones. They wanted a system wherein they can submit drone flight recordings and get reports on the health of the Wind Turbine. The client wanted to alter the manual inspection process of reviewing the images and replace it with an automated inspection system.
We developed a Deep Neural Network model to recognise the health and degradation of the Wind Turbine across various parameters including rust, dents, dust etc. We first collected the drone images from our client to generate a customised data pertaining to the good health and each deterioration class of the Wind Turbine. We then trained a Deep Neural Network to inspect the Wind Turbine to spot any anomalies on the surface of the Wind Turbine.