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Computationally intelligent real-time security surveillance system in the education sector using dee...

Computationally intelligent real-time security surveillance system in the education sector using dee...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3078994222

Computationally intelligent real-time security surveillance system in the education sector using deep learning

About this item

Full title

Computationally intelligent real-time security surveillance system in the education sector using deep learning

Publisher

United States: Public Library of Science

Journal title

PloS one, 2024-07, Vol.19 (7), p.e0301908

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Real-time security surveillance and identity matching using face detection and recognition are central research areas within computer vision. The classical facial detection techniques include Haar-like, MTCNN, AdaBoost, and others. These techniques employ template matching and geometric facial features for detecting faces, striving for a balance be...

Alternative Titles

Full title

Computationally intelligent real-time security surveillance system in the education sector using deep learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_3078994222

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3078994222

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0301908

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