Multiple Face Recognition System Using OpenFace
International Conference on Data Analytics, Intelligent Computing, and Cyber Security, ICDIC 2020
; 315:339-349, 2023.
Article
in English
| Scopus | ID: covidwho-2148663
ABSTRACT
The digitalization of human work has been an ever-evolving process. Student’s and employee’s attendance systems are automated by using fingerprint biometrics. Specifically covid situation has created the need for touchless attendance system. Many institutions have already implemented a face detection-based attendance system. However, the major problem in designing face-recognising biometric applications is the scalability and accuracy in time to differentiate between multiple faces from a single clip/image. This paper used the OpenFace model for face recognition and developed a multi-face recognition model. The Torch and Python deployment module of deep neural network-based face recognition was used, and it was predicated accurately in time. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Full text:
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
International Conference on Data Analytics, Intelligent Computing, and Cyber Security, ICDIC 2020
Year:
2023
Document Type:
Article
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