Real‐time force doors detection system using distributed sensors and neural networks

International Journal of Intelligent SystemsVolume 34, Issue 9 p. 2243-2252 RESEARCH ARTICLE Real-time force doors detection system using distributed sensors and neural networks Jordán Pascual Espada, Corresponding Author Jordán Pascual Espada pascualjordan@uniovi.es Department of Computer Science, University of Oviedo, Oviedo, Spain Correspondence Jordán Pascual Espada, Facultad de Ciencias, Universidad de Oviedo, C/ Federico García Lorca 18, 3° 198, 33007 Oviedo, Asturias, Spain. Email: pascualjordan@uniovi.esSearch for more papers by this authorVicente García-Díaz, Vicente García-Díaz Department of Computer Science, University of Oviedo, Oviedo, SpainSearch for more papers by this authorEdward Rolando Núñez-Valdéz, Edward Rolando Núñez-Valdéz Department of Computer Science, University of Oviedo, Oviedo, SpainSearch for more papers by this authorRubén González Crespo, Rubén González Crespo School of Engineering, International University of La Rioja - UNIR, Logroño, SpainSearch for more papers by this author Jordán Pascual Espada, Corresponding Author Jordán Pascual Espada pascualjordan@uniovi.es Department of Computer Science, University of Oviedo, Oviedo, Spain Correspondence Jordán Pascual Espada, Facultad de Ciencias, Universidad de Oviedo, C/ Federico García Lorca 18, 3° 198, 33007 Oviedo, Asturias, Spain. Email: pascualjordan@uniovi.esSearch for more papers by this authorVicente García-Díaz, Vicente García-Díaz Department of Computer Science, University of Oviedo, Oviedo, SpainSearch for more papers by this authorEdward Rolando Núñez-Valdéz, Edward Rolando Núñez-Valdéz Department of Computer Science, University of Oviedo, Oviedo, SpainSearch for more papers by this authorRubén González Crespo, Rubén González Crespo School of Engineering, International University of La Rioja - UNIR, Logroño, SpainSearch for more papers by this author First published: 22 July 2019 https://doi.org/10.1002/int.22161Citations: 10Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Abstract Intelligent security systems have evolved enormously in the last few years. Most of these security systems use a group of physics sensors and algorithms for data analysis and communication systems to notify security alarms. Many security systems that are included in doors can detect intruders when they have already opened the door, but not while intruders are forcing upon the door. However, some security systems include preventive systems, which can detect intruders before they open the door. These preventive systems are usually based on video cameras (image processing) or in-presence sensors, which can generate many false positives, for instance, when a person is next to the door for a few seconds, even if this person is not manipulating the door. This research work proposes a novel force door detection system. The system includes a specific device for monitoring door small vibrations and movements; it analyzes these data using neural networks to detect accurately if someone is forcing upon the door. Artificial intelligence must be able to categorize data records without confusing when someone is forcing upon the door with other actions, like knocking on the door. Citing Literature Volume34, Issue9September 2019Pages 2243-2252 RelatedInformation