3rd South American International Conference on Industrial Engineering and Operations Management

Raspberry Pi Zero Door Locking System with Face Recognition using CNN (Convolutional Neural Network) and Fingerprint Sensor

Jimmy Linggarjati
Publisher: IEOM Society International
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Track: IoT
Abstract

Door-locking system with face recognition and fingerprint sensor is a system of door’s lock that uses two security parameters. These two parameters must be fulfilled for the door to be opened. When one of these two parameters does not grand the permission, then the door will not open. This system uses a Raspberry pi zero as a control centre and a dataset storage for the faces’ images. For the input process, a Raspberry pi camera and a fingerprint sensor are used. And the output uses a Relay and a Solenoid Door Lock. The results showed that only faces and fingerprints that are recognized by the system, that could successfully open the door.

Keywords

Face recognition, Fingerprint, Solenoid Door Lock, Raspberrypi Zero and CNN – Convolutional Neural Network.

Published in: 3rd South American International Conference on Industrial Engineering and Operations Management

Publisher: IEOM Society International
Date of Conference: May 10-12, 2022

ISBN: 978-1-7923-9159-0
ISSN/E-ISSN: 2169-8767