Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)

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Design and Implementation of Goods Storage Cabinet Based on K210 Face Recognition

Authors
Xiaohui Yang1, Hanhong Tan1, *, Xiaoyan Li1, Lingwei Li2
1Guangdong University of Science and Technology, Dongguan, China
2Guangdong Xinyingda Technology Co., Ltd, Dongguan, China
*Corresponding author. Email: 12327399@qq.com
Corresponding Author
Hanhong Tan
Available Online 9 October 2023.
DOI
10.2991/978-94-6463-262-0_71How to use a DOI?
Keywords
Face Recognition; STM32F103; Lockers; K210
Abstract

This design is based on the fact that public lockers will be used to store items in shopping and supermarkets in an epidemic environment. It is necessary to reduce long-term stay in public places and avoid contact with public goods under epidemic prevention and control, and to store them safely, quickly and intelligently. In this paper, the design of face recognition intelligent locker will be realized through STM32F103 and K210 camera. Obtain the information of important parts of human face, process and save the face data, and then control the accuracy through face comparison, so as to ensure the reliability and safety of the system, realize rapid access to articles through human face information, and effectively reduce the time spent in public places and contact with public articles. Use STM32 to control the automatic door switch to reduce contact and improve safety. When retrieve articles, that article can be retrieved directly by recognizing faces, and the storage cabinet door will be automatically close after being taken out, thus greatly improving the efficiency and safety of the storage cabinet.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
Series
Atlantis Highlights in Engineering
Publication Date
9 October 2023
ISBN
978-94-6463-262-0
ISSN
2589-4943
DOI
10.2991/978-94-6463-262-0_71How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xiaohui Yang
AU  - Hanhong Tan
AU  - Xiaoyan Li
AU  - Lingwei Li
PY  - 2023
DA  - 2023/10/09
TI  - Design and Implementation of Goods Storage Cabinet Based on K210 Face Recognition
BT  - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
PB  - Atlantis Press
SP  - 681
EP  - 689
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-262-0_71
DO  - 10.2991/978-94-6463-262-0_71
ID  - Yang2023
ER  -