The study of energy consumption habits in consumers is useful to save money, energy and decrease pollution. Nowadays, the big amount of data managed in market statistics requires a certain grade of automation to process the information within an acceptable period of time.
In this regard, automated recognition in images can greatly help to perform energy market studies where visual inspection is required. The application of camera-based systems has exponentially grown in recent years due to the improvements in camera features and computer vision techniques. Besides, the rise of deep learning in the last decade has greatly enhanced the effectiveness of computer vision systems, which can automatically compute and extract very relevant information from images.
According to the previous considerations, the goal of the proposed project is to research on innovative computer vision and deep learning algorithms with the aim of contributing in the automation of energy consumption market studies based on information obtained from images.