339a6b20-7829-463d-88cb-9fd2d2ff27b320210514040027765naun:naunmdt@crossref.orgMDT DepositInternational Journal of Mechanics1998-444810.46300/9104http://www.naun.org/cms.action?id=2828128202112820211510.46300/9104.2021.15https://www.naun.org/cms.action?id=23280Juan D.PérezInstituto Tecnológico Metropolitano Calle 73 No.76 A 354 Robledo, 050034 Medellín, Antioquia, ColombiaDiego A.HincapiéInstituto Tecnológico Metropolitano Calle 73 No.76 A 354 Robledo, 050034 Medellín, Antioquia, ColombiaJonathan A.GracianoInstituto Tecnológico Metropolitano Calle 73 No.76 A 354 Robledo, 050034 Medellín, Antioquia, ColombiaThanks to the fact that nowadays substantial progress has been made in new ways of analyzing our environment using image processing techniques, it is imperative to highlight the importance of applying this methodology to mechanisms, which are our object of study and these elements are present in various sectors, such as industrial, automotive, academic, etc. In the previously mentioned sectors, the mechanisms are a fundamental element for the correct operation of the devices that each sector has. Therefore, knowing the dynamic behavior of the mechanisms is an essential task, since, if any type of failure occurs, it could cause damage to an entire process. The article proposes to develop a methodology that allows the analysis of dynamic variables in different types of mechanisms, through the use of image processing techniques specifically the detection, filtering and tracking of objects, using filters such as the Gaussian filter and background subtraction in order to improve the quality of the information to be analyzed. The results obtained through the application of the proposed methodology were compared with a simulation of a CAD/CAM/CAE software, in this case Siemens NX 12®, these results were satisfactory under certain criteria that will be exposed in the analysis section, thanks to this it can be affirmed that the proposed methodology is acceptable at the time of knowing the dynamic variables in mechanisms514202151420215660https://www.naun.org/main/NAUN/mechanics/2021/a122003-006(2021).pdf10.46300/9104.2021.15.6https://www.naun.org/main/NAUN/mechanics/2021/a122003-006(2021).pdf10.1016/j.ces.2018.05.029R.F.L Cerqueira, Paladino E.E, Ynumaru B.K and Maliska C.R, “Image processing techniques for the measurement of two-phase bubbly pipe flows using particle image and tracking velocimetry (PIV/PTV)”, ScienceDirect, university of Santa Catarina, SC, Brazil, 24 May 2018. 10.12988/ces.2020.91454Vladimir Tadic, Istvan Kecskes, Ákos Odry and Ervin Burkus, “Application of Intel RealSense Cameras for Depth Image Generation in Robotics”, WSEAS Transactions on Computers, university of Dunaujvaros, Hungary, September 2019. 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