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A machine-vision system to measure the parameters describing the performance of a Foucault pendulum

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Abstract

We describe a machine-vision system that makes real-time measurements of the kinematics of a Foucault pendulum. Images are taken from a downward-facing camera placed close to the pendulum suspension point. The bob is detected via background subtraction and located by fitting circles to the resulting contour segments. The bob trajectory is then modelled by fitting ellipses to recent positions. Parameters are improved through Kalman filtering. Experimental results are shown. Our implementation is a robust and accurate tool for visualization of the pendulum kinematics as well as troubleshooting and maintenance of the mechanical elements.

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Authors and Affiliations

  1. CICATA Unidad Querétaro-IPN, José Siurob 10, Col. Alameda, Querétaro, Qro., 76040, México

    Joaquín Salas

  2. Instituto Tecnológico de Morelia, Av. Tecnologico 1500, Colonia Lomas de Santiaguito, C.P. 58120, Morelia, Mexico

    Wendy Avalos

  3. Instituto Tecnológico de Zitacuaro, Ex-Hacienda de Manzanillos s/n Carr. Toluca-Morelia Apdo., Postal No. 112, Zitcuaro, C.P. 61500, Mexico

    Rafael Castañeda & Mario Maya

Authors
  1. Joaquín Salas
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  2. Wendy Avalos
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  3. Rafael Castañeda
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  4. Mario Maya
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Correspondence to Joaquín Salas.

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Salas, J., Avalos, W., Castañeda, R. et al. A machine-vision system to measure the parameters describing the performance of a Foucault pendulum. Machine Vision and Applications 17, 133–138 (2006). https://doi.org/10.1007/s00138-006-0019-1

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  • DOI: https://doi.org/10.1007/s00138-006-0019-1

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