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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM36514

REAL TIME FACE AND GENDER DETECTOR

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM36514

Volume:

8 |

7 |

Jul 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM36514

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

RK

Ravi Kumar

NR

Nikita Rani

HVK

Harsh Vilas Kajale

DK

Daljeet Kaur

AA

Akansha Agarwal

SS

Sudhanshu Singhal

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Abstract

This research paper provides an excellent way to do this detect and detect a person’s face using OpenCV, as well python which is part of in-depth learning. This report contains ways in which in-depth learning is an important part of a computer science can be used to determine faces using several libraries in OpenCV and python. This report will contain a proposed program that will assist in finding a person face in real time. This application can be used in various locations device and smartphone platforms, as well as several software applications.

KEYWORDS

Python OpenCV In-depth Reading Face Discovery

Cite This Article

Ravi Kumar, Nikita Rani, Harsh Vilas Kajale, Daljeet Kaur, Akansha Agarwal, Sudhanshu Singhal, "REAL TIME FACE AND GENDER DETECTOR," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 7, Jul 2024. https://doi.org/10.55041/IJSREM36514

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Publication Date

7/16/2024

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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