Accurate identification of the number of objects in noncontact closed containers based on acoustic signal analysis

Hongbin Yu; Ling Ma

doi:10.1117/12.3052986

3 January 2025 Accurate identification of the number of objects in noncontact closed containers based on acoustic signal analysis

Hongbin Yu, Ling Ma

Author Affiliations +

Proceedings Volume 13442, Fifth International Conference on Signal Processing and Computer Science (SPCS 2024); 1344204 (2025) https://doi.org/10.1117/12.3052986
Event: Fifth International Conference on Signal Processing and Computer Science (SPCS 2024), 2024, Kaifeng, China

Abstract

By analyzing the acoustic response generated by applying a constant excitation to a closed container, this paper proposes a contactless sensing technique for accurately determining the number of objects inside a non-transparent closed container. The acoustic data with different spectra are collected to construct a dataset by changing the excitation mechanism of the closed cavity. The data is preprocessed through band-pass filtering and Fast Fourier Transform (FFT). A high-performance classification model is constructed using Support Vector Machine (SVM) with a linear kernel, resulting in an accuracy rate of 97%percnt; or higher. This method is highly adaptable and widely applicable. It demonstrates a stable and precise recognition effect when combining containers and fillers of different materials and sizes, utilizing diversified excitation modes, and dealing with complex and variable object stacking densities. Additionally, it does not require sophisticated data acquisition hardware equipment, providing a powerful technical solution for practical industrial inspection, logistics monitoring, and related fields. It offers a robust technical solution for addressing practical challenges in industrial inspection, logistics monitoring, and related fields.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hongbin Yu and Ling Ma "Accurate identification of the number of objects in noncontact closed containers based on acoustic signal analysis", Proc. SPIE 13442, Fifth International Conference on Signal Processing and Computer Science (SPCS 2024), 1344204 (3 January 2025); https://doi.org/10.1117/12.3052986

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