Generation of BIM data based on the automatic detection, identification
  and localization of lamps in buildings
Francisco Troncoso-Pastoriza Pablo Eguía-Oller Rebeca P. Díaz-Redondo Enrique Granada-Álvarez
In this paper we introduce a method that supports the detection,
identification and localization of lamps in a building, with the main goal of
automatically feeding its energy model by means of Building Information
Modeling (BIM) methods. The proposed method, thus, provides useful information
to apply energy-saving strategies to reduce energy consumption in the building
sector through the correct management of the lighting infrastructure. Based on
the unique geometry and brightness of lamps and the use of only greyscale
images, our methodology is able to obtain accurate results despite its low
computational needs, resulting in near-real-time processing. The main novelty
is that the focus of the candidate search is not over the entire image but
instead only on a limited region that summarizes the specific characteristics
of the lamp. The information obtained from our approach was used on the Green
Building XML Schema to illustrate the automatic generation of BIM data from the
results of the algorithm.