Using Artificial Intelligence and Perovskite Material Technology to Monitor Light Pollution

This paper investigates the use of artificial intelligence and perovskite material technology to monitor light pollution. We consider a technique involving the installation of a digital camera and instrument to measure the quality of the night sky on an unmanned aerial vehicle (UAV), followed by data analysis using machine learning and deep learning algorithms. In addition, the promising application of perovskite materials to improve the accuracy of light pollution data collection is discussed.