Design and Implementation of a Self-Calibration Paper Counting System Using Capacitive Sensing and Curve Fitting

This paper presents a novel self-calibrating paper counting device that integrates an embedded processor with a capacitance sensor chip. The device operates on the principle of capacitance measurement, detecting variations between two copper-coated plates as paper sheets are inserted. The capacitance data, acquired via an I2C interface, undergoes filtering and averaging to enhance stability and accuracy. Further processing involves scaling and transformation to refine the data, which is then utilized in curve fitting to determine the precise sheet count. The final result is displayed on an LCD screen, accompanied by an audible signal upon measurement completion. Experimental results demonstrate that the incorporation of data fusion and curve fitting significantly improves measurement accuracy, maintaining it consistently above 97%. This highlights the proposed system’s high precision and robustness, making it a promising solution for paper counting applications.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3554857
Citations
2
Primary Topic
Sensor Technology and Measurement Systems
Type
article
Field-Weighted Citation Impact
2.97
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article

Design and Implementation of a Self-Calibration Paper Counting System Using Capacitive Sensing and Curve Fitting

Xiaochao Ma, Lei Chen, Xiaoping Chen, X. Zhao et al.
2 citations
IEEE Access
Sensor Technology and Measurement Systems
2.97
article

Design and Implementation of a Self-Calibration Paper Counting System Using Capacitive Sensing and Curve Fitting

Xiaochao Ma, Lei Chen, Xiaoping Chen, X. Zhao, Ming Lei, Junyuan Zheng
article en
2 citations

Abstract

This paper presents a novel self-calibrating paper counting device that integrates an embedded processor with a capacitance sensor chip. The device operates on the principle of capacitance measurement, detecting variations between two copper-coated plates as paper sheets are inserted. The capacitance data, acquired via an I2C interface, undergoes filtering and averaging to enhance stability and accuracy. Further processing involves scaling and transformation to refine the data, which is then utilized in curve fitting to determine the precise sheet count. The final result is displayed on an LCD screen, accompanied by an audible signal upon measurement completion. Experimental results demonstrate that the incorporation of data fusion and curve fitting significantly improves measurement accuracy, maintaining it consistently above 97%. This highlights the proposed system’s high precision and robustness, making it a promising solution for paper counting applications.

IEEE AccessVol. 13
University of Science and Technology of China (CN), Suzhou University of Science and Technology (CN), Soochow University (CN), Suzhou Nonferrous Metals Research Institute (CN), Suzhou City University
Openalex Percentile: Top 10%
Sensor Technology and Measurement Systems
2.97
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