Automatic Laser Pointer Detection Algorithm for Environment Control Device Systems Based on Template Matching and Genetic Tuning of Fuzzy Rule-Based Systems Chávez, F. Alcalá Fernández, Rafael Interaction Systems Fuzzy rule-based systems Genetic fuzzy systems Laser Pointer Detection Domotic Control Systems Inteligencia artificial Artificial intelligence In this paper we propose a new approach for laser-based environment device control systems based on the automatic design of a Fuzzy Rule-Based System for laser pointer detection. The idea is to improve the success rate of the previous approaches decreasing as much as possible the false offs and increasing the success rate in images with laser spot, i.e., the detection of a false laser spot (since this could lead to dangerous situations). To this end, we propose to analyze both, the morphology and color of a laser spot image together, thus developing a new robust algorithm. Genetic Fuzzy Systems have also been employed to improve the laser spot system detection by means of a fine tuning of the involved membership functions thus reducing the system false offs, which is the main objective in this problem. The system presented in this paper, makes use of a Fuzzy Rule-Based System adjusted by a Genetic Algorithm, which, based on laser morphology and color analysis, shows a better success rate than previous approaches. 2022-11-14T08:10:44Z 2022-11-14T08:10:44Z 2012-04-01 journal article Chávez, F... [et al.] (2012). Automatic laser pointer detection algorithm for environment control device systems based on template matching and genetic tuning of fuzzy rule-based systems. International Journal of Computational Intelligence Systems, 5(2), 368-386. DOI: [https://doi.org/10.1080/18756891.2012.685327] https://hdl.handle.net/10481/77949 10.1080/18756891.2012.685327 eng http://creativecommons.org/licenses/by-nc/4.0/ open access Atribución-NoComercial 4.0 Internacional Atlantis