Education, Science, Technology, Innovation and Life
Open Access
Sign In

Design and Implementation of Examination Room Sign-in System Based on Face Recognition SDK

Download as PDF

DOI: 10.23977/acss.2022.060605 | Downloads: 22 | Views: 572

Author(s)

Jinhui Xu 1, Shuang Zhen 1, Yuanjia Ma 1

Affiliation(s)

1 Electronic Information Engineering Department, Guangdong University of Petrochemical Technology, Maoming, Guangdong, China

Corresponding Author

Yuanjia Ma

ABSTRACT

In the current examination room sign-in audit mode, most examination rooms still verify the identity information of candidates by manually collecting and comparing information such as admission tickets, which is not only time-consuming and labor-intensive, but also has a large recognition error rate. Face recognition technology can not only reduce the workload of invigilators, but also efficiently and accurately identify and confirm the authenticity of candidates' identities. In view of this, this paper uses Java language and the face recognition SDK provided by the third-party platform to design and implement the examination room sign-in system on Android mobile phone, which collects and extracts the features of the examinee's face information, and compares it with the picture information in the face database. Candidates can only participate in the examination after successful face comparison. The system has the characteristics of fast detection speed, high accuracy of recognition results and off-line use.

KEYWORDS

Face recognition, the examination room sign-in system, Android mobile phone, high accuracy of recognition results

CITE THIS PAPER

Jinhui Xu, Shuang Zhen, Yuanjia Ma, Design and Implementation of Examination Room Sign-in System Based on Face Recognition SDK. Advances in Computer, Signals and Systems (2022) Vol. 6: 26-31. DOI: http://dx.doi.org/10.23977/acss.2022.060605.

REFERENCES

[1] Dai Ruiting, Mo Li Si, Huang Zhiheng. Design and implementation of a sign-in system based on scan code authentication and face recognition. Communication Technology, 2019, 52(07): 1773-1779.
[2] Li Chengyuan, Yu Yue, Liu Yuanjie, et al. Design and implementation of hotel information management system based on face recognition SDK. Wireless Internet Technology, 2020, 17(22): 48-50.
[3] Liu Luochun, Zhang Qingjie, Xu Yong. The application of the examinee's identity verification system in educational examination. Educational Measurement and Evaluation, 2019, (3): 39-49.
[4] Zhao Feng. Application of face recognition technology based on Android platform. Automation and Instrumentation, 2015, (8): 226-229.
[5] Zhang YJ, Zhou Min. Face detection based on Android API. Silicon Valley, 2012, 5(18): 12-13.
[6] Han Zengkun. Design and implementation of the examinee identity verification system based on face recognition technology. Computer and Digital Engineering, 2012, 40(1): 148-150.
[7] Wu Chunling, Feng Zhiwen, Zhong Shenhao, et al. Automatic attendance management system for college classrooms based on face recognition technology. Intelligent Building and Smart City, 2020, (5): 20-24.
[8] Su Mingyong, Ping Liu. Design and implementation of online running APP based on Baidu SDK. Computer Knowledge and Technology, 2019, 15(26): 78-79, 91.
[9] Cheng Hongfang. Research and Implementation of Android Face Recognition System Based on Face++. Journal of Huaihai Institute of Technology (Natural Science Edition), 2018, 27(04): 25-29.
[10] Cai Jiaxing, Li Ming. Attendance system based on face recognition and location information. Journal of hunan university of science and engineering, 2020, 41(5): 51-53.
[11] An Guoyou, Shuyan Wang. PictureBox(C#)+ Baidu Offline SDK to Realize Face Recognition. Management and Technology of Small and Medium Enterprises (Zhongxunkan), 2020, (7): 170-171.

Downloads: 11347
Visits: 240471

Sponsors, Associates, and Links


All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.