Research on the Application of Intelligent Detection Technology in Business Hall System

Xueming Qiao; Xiaohui Liu; Pengfei Zheng; Yingxue Xia; Haifeng Sun; Rongning Qu; Weiguo Tian; Dongjie Zhu

doi:10.1007/978-3-030-78618-2_43

Research on the Application of Intelligent Detection Technology in Business Hall System

Xueming Qiao
, Xiaohui Liu
, Pengfei Zheng
, Yingxue Xia
, Haifeng Sun
, Rongning Qu
, Weiguo Tian
, Dongjie Zhu^*

^*Corresponding author for this work

State Grid Weihai Power Supply Company
Harbin Institute of Technology Weihai
School of Computer Science and Technology, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The existing offline business halls are unable to accurately identify customers for accurate marketing, and lack effective detection mechanisms for some abnormal behaviors, and cannot assist security personnel such as security personnel in the security work. The successful application of face recognition technology in the payment field makes it feasible to apply it in offline systems of business halls, and the development of behavior detection technology based on computer vision also makes us actively explore its application in offline scenarios of business halls. Therefore, we researched the application of intelligent detection technology including dynamic face recognition technology and behavior detection technology in offline systems of business halls, designed and implemented a prototype system based on this technology, and tested it in real scenarios. The experimental results show that it is feasible to apply the intelligent detection technology to the offline service system of the business hall.

Original language	English
Title of host publication	Advances in Artificial Intelligence and Security - 7th International Conference, ICAIS 2021, Proceedings
Editors	Xingming Sun, Xiaorui Zhang, Zhihua Xia, Elisa Bertino
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	521-529
Number of pages	9
ISBN (Print)	9783030786175
DOIs	https://doi.org/10.1007/978-3-030-78618-2_43
State	Published - 2021
Externally published	Yes
Event	7th International Conference on Artificial Intelligence and Security, ICAIS 2021 - Dublin, Ireland Duration: 19 Jul 2021 → 23 Jul 2021

Publication series

Name	Communications in Computer and Information Science
Volume	1423
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	7th International Conference on Artificial Intelligence and Security, ICAIS 2021
Country/Territory	Ireland
City	Dublin
Period	19/07/21 → 23/07/21

Keywords

Behavior detection
Business hall system
Face recognition

Access to Document

10.1007/978-3-030-78618-2_43

Cite this

Qiao, X., Liu, X., Zheng, P., Xia, Y., Sun, H., Qu, R., Tian, W., & Zhu, D. (2021). Research on the Application of Intelligent Detection Technology in Business Hall System. In X. Sun, X. Zhang, Z. Xia, & E. Bertino (Eds.), Advances in Artificial Intelligence and Security - 7th International Conference, ICAIS 2021, Proceedings (pp. 521-529). (Communications in Computer and Information Science; Vol. 1423). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-78618-2_43

Qiao, Xueming ; Liu, Xiaohui ; Zheng, Pengfei et al. / Research on the Application of Intelligent Detection Technology in Business Hall System. Advances in Artificial Intelligence and Security - 7th International Conference, ICAIS 2021, Proceedings. editor / Xingming Sun ; Xiaorui Zhang ; Zhihua Xia ; Elisa Bertino. Springer Science and Business Media Deutschland GmbH, 2021. pp. 521-529 (Communications in Computer and Information Science).

@inproceedings{a5232c9cc8d748af93f3a065627f4fbc,

title = "Research on the Application of Intelligent Detection Technology in Business Hall System",

abstract = "The existing offline business halls are unable to accurately identify customers for accurate marketing, and lack effective detection mechanisms for some abnormal behaviors, and cannot assist security personnel such as security personnel in the security work. The successful application of face recognition technology in the payment field makes it feasible to apply it in offline systems of business halls, and the development of behavior detection technology based on computer vision also makes us actively explore its application in offline scenarios of business halls. Therefore, we researched the application of intelligent detection technology including dynamic face recognition technology and behavior detection technology in offline systems of business halls, designed and implemented a prototype system based on this technology, and tested it in real scenarios. The experimental results show that it is feasible to apply the intelligent detection technology to the offline service system of the business hall.",

keywords = "Behavior detection, Business hall system, Face recognition",

author = "Xueming Qiao and Xiaohui Liu and Pengfei Zheng and Yingxue Xia and Haifeng Sun and Rongning Qu and Weiguo Tian and Dongjie Zhu",

note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 7th International Conference on Artificial Intelligence and Security, ICAIS 2021 ; Conference date: 19-07-2021 Through 23-07-2021",

year = "2021",

doi = "10.1007/978-3-030-78618-2\_43",

language = "英语",

isbn = "9783030786175",

series = "Communications in Computer and Information Science",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "521--529",

editor = "Xingming Sun and Xiaorui Zhang and Zhihua Xia and Elisa Bertino",

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address = "德国",

}

Qiao, X, Liu, X, Zheng, P, Xia, Y, Sun, H, Qu, R, Tian, W & Zhu, D 2021, Research on the Application of Intelligent Detection Technology in Business Hall System. in X Sun, X Zhang, Z Xia & E Bertino (eds), Advances in Artificial Intelligence and Security - 7th International Conference, ICAIS 2021, Proceedings. Communications in Computer and Information Science, vol. 1423, Springer Science and Business Media Deutschland GmbH, pp. 521-529, 7th International Conference on Artificial Intelligence and Security, ICAIS 2021, Dublin, Ireland, 19/07/21. https://doi.org/10.1007/978-3-030-78618-2_43

Research on the Application of Intelligent Detection Technology in Business Hall System. / Qiao, Xueming; Liu, Xiaohui; Zheng, Pengfei et al.
Advances in Artificial Intelligence and Security - 7th International Conference, ICAIS 2021, Proceedings. ed. / Xingming Sun; Xiaorui Zhang; Zhihua Xia; Elisa Bertino. Springer Science and Business Media Deutschland GmbH, 2021. p. 521-529 (Communications in Computer and Information Science; Vol. 1423).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Research on the Application of Intelligent Detection Technology in Business Hall System

AU - Qiao, Xueming

AU - Liu, Xiaohui

AU - Zheng, Pengfei

AU - Xia, Yingxue

AU - Sun, Haifeng

AU - Qu, Rongning

AU - Tian, Weiguo

AU - Zhu, Dongjie

PY - 2021

Y1 - 2021

N2 - The existing offline business halls are unable to accurately identify customers for accurate marketing, and lack effective detection mechanisms for some abnormal behaviors, and cannot assist security personnel such as security personnel in the security work. The successful application of face recognition technology in the payment field makes it feasible to apply it in offline systems of business halls, and the development of behavior detection technology based on computer vision also makes us actively explore its application in offline scenarios of business halls. Therefore, we researched the application of intelligent detection technology including dynamic face recognition technology and behavior detection technology in offline systems of business halls, designed and implemented a prototype system based on this technology, and tested it in real scenarios. The experimental results show that it is feasible to apply the intelligent detection technology to the offline service system of the business hall.

AB - The existing offline business halls are unable to accurately identify customers for accurate marketing, and lack effective detection mechanisms for some abnormal behaviors, and cannot assist security personnel such as security personnel in the security work. The successful application of face recognition technology in the payment field makes it feasible to apply it in offline systems of business halls, and the development of behavior detection technology based on computer vision also makes us actively explore its application in offline scenarios of business halls. Therefore, we researched the application of intelligent detection technology including dynamic face recognition technology and behavior detection technology in offline systems of business halls, designed and implemented a prototype system based on this technology, and tested it in real scenarios. The experimental results show that it is feasible to apply the intelligent detection technology to the offline service system of the business hall.

KW - Behavior detection

KW - Business hall system

KW - Face recognition

UR - https://www.scopus.com/pages/publications/85111980221

U2 - 10.1007/978-3-030-78618-2_43

DO - 10.1007/978-3-030-78618-2_43

M3 - 会议稿件

AN - SCOPUS:85111980221

SN - 9783030786175

T3 - Communications in Computer and Information Science

SP - 521

EP - 529

BT - Advances in Artificial Intelligence and Security - 7th International Conference, ICAIS 2021, Proceedings

A2 - Sun, Xingming

A2 - Zhang, Xiaorui

A2 - Xia, Zhihua

A2 - Bertino, Elisa

PB - Springer Science and Business Media Deutschland GmbH

T2 - 7th International Conference on Artificial Intelligence and Security, ICAIS 2021

Y2 - 19 July 2021 through 23 July 2021

ER -

Qiao X, Liu X, Zheng P, Xia Y, Sun H, Qu R et al. Research on the Application of Intelligent Detection Technology in Business Hall System. In Sun X, Zhang X, Xia Z, Bertino E, editors, Advances in Artificial Intelligence and Security - 7th International Conference, ICAIS 2021, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 521-529. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-78618-2_43

Research on the Application of Intelligent Detection Technology in Business Hall System

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Keywords

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