Rongjun Chen
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
Hongxing Huang
Yongxing Yu
Professor Jinchang Ren j.ren@rgu.ac.uk
Professor of Computing Science
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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© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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