David Smith
Published © MIT

Facial Recognition/RFID Lock with Raspberry Pi

Python web application for a smart lock powered by Raspberry Pi. It features facial recognition, RFID, and control via a webapp.

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Facial Recognition/RFID Lock with Raspberry Pi

Things used in this project

Hardware components

Raspberry Pi 3 Model B
Raspberry Pi 3 Model B
×1
Breadboard (generic)
Breadboard (generic)
Also requires the connector for the RPi
×1
RFID reader (generic)
RFID-RC522
×1
Futaba S3003 Servo
This is the lock (a motor which spins clockwise and counter-clockwise)
×1
Camera (generic)
Just a generic webcam compatible with RPi
×1

Software apps and online services

AWS EC2
Amazon Web Services AWS EC2
This was used to host the Django server and the Flask server.
OpenCV
OpenCV
This library was used for the facial detection and recognition.

Story

Read more

Schematics

The basic equipment

Here are the components you need: The RPi, breadboard with connector, RFID scanner and card (the blue keychain thing), a webcam, and a motor (has a green arrow taped to it to show it rotating when locked/unlocked).

Breadboard close-up.

The wires going to the top of the image are to the RFID scanner. The wires heading downwards are to the motor. Here are the connections:
scanner | board
-------------------------------
SDA | CEO
SCK | SCLK
MOSI | MOSI
MISO | MISO
IRQ | (None)
GND | GND
RST | GPIO (#25)
3.3v | 1

For the motor:
motor | board
-------------------------
white | 18
black | GND
red | power

Code

Secured-Pi (Django site)

There are 3 repos here. One is for the Flask server, one for the Django server, and one for the Raspberry-Pi code: https://github.com/Secured-Pi

Flask Server

This is the code for the Flask server

Raspberry Pi Code

This is the code for the Raspberry Pi.

Credits

David Smith

David Smith

1 project • 2 followers
Software developer with a chemistry background. Loves Python.

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