Robust Detection of the Coordinate of a Solar Panel Using Deep Learning Algorithm

The objective of this paper is to develop a robust and intelligent algorithm for the detection of the coordinates of the solar panel or its array in the field. This goal is achieved by using a TensorFlow-based real-time custom object detector developed for a solar panel. Collecting the database consisting of labelled pictures of solar panels in different environments and lightings is done for training and testing the ML-based deep learning models. After several experimentations and testing, the coordinates of the solar panel is successfully detected.