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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM3367

Face Detection and Recognition using Raspberry Pi

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM3367

Volume:

4 |

4 |

Apr 2020

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

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

MKB

MAHENDRA KUMAR B

SS

Subramanya S

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Abstract

This project presents a Home Automation Security System that integrates face detection and recognition with RFID technology using a Raspberry Pi. The system aims to enhance security and access control in homes by automating the process of user authentication through facial recognition and RFID tags. The system utilizes a Raspberry Pi as the central control unit, a camera module for face detection and recognition, and an RFID reader to scan RFID tags for additional access control. The system functions by scanning an RFID tag, and upon detection of a valid tag, it activates the camera to capture the face of the person requesting access. The captured image is then processed using OpenCV and face_recognition libraries in Python to match the face with a pre-stored database of authorized individuals. If both the RFID tag and face match the stored data, the system grants access by performing automation actions such as unlocking doors or turning on lights.

KEYWORDS

Raspberry Pi Pi Camera Face Detection Face Recognition RFID Technology RFID Tag Verification.

Cite This Article

MAHENDRA KUMAR B, Subramanya S, "Face Detection and Recognition using Raspberry Pi," International Journal of Scientific Research in Engineering and Management, vol. 4, no. 4, Apr 2020.

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Publication Date

4/2/2025

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Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

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

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