Ensembling techniques in solar panel quality classification

<p><span lang="EN-US">Solar panel quality inspection is a time consuming and costly task. This study tries to develop as reliable method for evaluating the panels by using ensemble technique based on three machine learning models namely logistic regression, support vector artificial neural network. The data in this came from infrared camera which were captured dark room. are supplied with direct current (DC) power while located perpendicular surface. Dataset divided into four classes where each class represent level of damage percentage. approach suitable systems has limited resources well number training images very popular reality. Result shows that proposed performs accuracy higher than 90%.</span></p>