An image processing-based method for determining the geometry transmission ratio of a continuously variable transmission gearbox

Abstract Nowadays, many applications based on image processing methods are deployed to bring convenience to use due to its outstanding superior features. This paper proposes an image processing-based method for determining the geometry transmission ratio of a continuously variable transmission (CVT) gearbox made up of a push-belt and two pulleys with synchronized width adjustments. The proposed method is demonstrated by many experiments on a real system consisting of 1 Logitech C992 Pro Webcam camera and 1 CVT gearbox. The experiments were conducted on more than 100 images. The experimental results show that the method’s error is between 6% and 8%, and the average processing time of 1 image is 0.07 seconds. This error depends on whether the camera position is parallel to the CVT gearbox’s cross-sectional plane or not. Furthermore, the reliability of the method is evaluated by the RMSE method up to 99%.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2025-02-01
DOI
https://doi.org/10.1088/1742-6596/2949/1/012064
Primary Topic
Image and Object Detection Techniques
Type
article
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article

An image processing-based method for determining the geometry transmission ratio of a continuously variable transmission gearbox

Dinh-Manh-Cuong Tran, Tri Nhut
1 links
Journal of Physics Conference Series
Image and Object Detection Techniques
article

An image processing-based method for determining the geometry transmission ratio of a continuously variable transmission gearbox

Dinh-Manh-Cuong Tran, Tri Nhut
article en

Abstract

Abstract Nowadays, many applications based on image processing methods are deployed to bring convenience to use due to its outstanding superior features. This paper proposes an image processing-based method for determining the geometry transmission ratio of a continuously variable transmission (CVT) gearbox made up of a push-belt and two pulleys with synchronized width adjustments. The proposed method is demonstrated by many experiments on a real system consisting of 1 Logitech C992 Pro Webcam camera and 1 CVT gearbox. The experiments were conducted on more than 100 images. The experimental results show that the method’s error is between 6% and 8%, and the average processing time of 1 image is 0.07 seconds. This error depends on whether the camera position is parallel to the CVT gearbox’s cross-sectional plane or not. Furthermore, the reliability of the method is evaluated by the RMSE method up to 99%.

Journal of Physics Conference SeriesVol. 2949(1)
Vietnam National University Ho Chi Minh City (VN), Embedded Systems (United States) (US), Ho Chi Minh City University of Technology (VN)
Openalex Percentile: Top 98%
Image and Object Detection Techniques
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