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Rapid detection of multi-QR codes based on multistage stepwise discrimination and a compressed mobilenet.

Chen, Rongjun; Huang, Hongxing; Yu, Yongxing; Ren, Jinchang; Wang, Peixian; Zhao, Huimin; Lu, Xu

Authors

Rongjun Chen

Hongxing Huang

Yongxing Yu

Peixian Wang

Huimin Zhao

Xu Lu



Abstract

Poor real-time performance in multi-QR codes detection has been a bottleneck in QR code decoding based Internet-of-Things (IoT) systems. To tackle this issue, we propose in this paper a rapid detection approach, which consists of Multistage Stepwise Discrimination (MSD) and a Compressed MobileNet. Inspired by the object category determination analysis, the preprocessed QR codes are extracted accurately on a small scale using the MSD. Guided by the small scale of the image and the end-to-end detection model, we obtain a lightweight Compressed MobileNet in a deep weight compression manner to realize rapid inference of multi-QR codes. The Average Detection Precision (ADP), Multiple Box Rate (MBR) and running time are used for quantitative evaluation of the efficacy and efficiency. Compared with a few state-of-the-art methods, our approach has higher detection performance in rapid and accurate extraction of all the QR codes. The approach is conducive to embedded implementation in edge devices along with a bit of overhead computation to further benefit a wide range of real-time IoT applications.

Citation

CHEN, R., HUANG, H., YU, Y., REN, J., WANG, P., ZHAO, H. and LU, X. 2023. Rapid detection of multi-QR codes based on multistage stepwise discrimination and a compressed mobilenet. IEEE internet of things journal [online], 10(18), pages 15966-15979. Available from: https://doi.org/10.1109/JIOT.2023.3268636

Journal Article Type Article
Acceptance Date Apr 20, 2023
Online Publication Date Apr 20, 2023
Publication Date Sep 16, 2023
Deposit Date Apr 25, 2023
Publicly Available Date Apr 25, 2023
Journal IEEE internet of things journal
Electronic ISSN 2327-4662
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Peer Reviewed Peer Reviewed
Volume 10
Issue 18
Pages 15966-15979
DOI https://doi.org/10.1109/jiot.2023.3268636
Keywords Multi-QR codes; Rapid detection; Internet of things(IoT); MobileNet; Embedded edge devices
Public URL https://rgu-repository.worktribe.com/output/1943007

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