Design of Acoustic Magnetic Label Detection System Based on SVM and FPGA Implementation

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Design of Acoustic Magnetic Label Detection System Based on SVM and FPGA Implementation

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[1]Zhao Xuyang,Zhang Yanbin,Wang Zhongyong,et al.Design of Acoustic Magnetic Label Detection System Based on SVM and FPGA Implementation[J].Journal of Zhengzhou University (Engineering Science),2021,42(3):13-18.[doi:10.13705/j.issn.1671-6833.2021.03.003]

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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 42 Number of periods: 2021 Issue 3 Page number: 13-18 Column: Public date: 2021-05-10

Title:: Design of Acoustic Magnetic Label Detection System Based on SVM and FPGA Implementation

Author(s):: Zhao Xuyang; Zhang Yanbin; Wang Zhongyong; Chen Mingliang; School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China

Keywords:: EAS; acoustic magnetic; support vector machine; FFT; FPGA

CLC:: -

DOI:: 10.13705/j.issn.1671-6833.2021.03.003

Abstract:: In strong electromagnetic interference environment, traditional acoustic magnetic EAS system has some shortcomes, such as short detection distance, high rate of false alarm and miss alarm. In order to solve these problems, an acoustic magnetic EAS system based on support vector machine (SVM) is proposed. The algorithm is implemented on FPGA chip. The fast Fourier transform (FFT) method is used to extract the frequency characteristics of tag and noise signals, which are used as the training samples of SVM algorithm. SVM algorithm classifies data frames into labeled and unlabeled ones, and the training part is implemented in MATLAB. The classification calculation part is implemented in FPGA, which adopts three-level parallel computing structure, and the algorithm time is less than 0.5 ms. The test results showed that: Under the interference environment, the longest detection distance of hard tag can reach 1.45 m, and the recognition rate can reach 99.4%. The longest detection distance of soft tag can reach 0.75 m, and the recognition rate can reach 98.9%. Compared with the traditional acoustic magnetic EAS system, this system can significantly increase the detection distance, improve the recognition rate, and provide a solution for the stable operation of EAS system in complex environment.

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Last Update: 2021-06-24