This was a final project (week-long) for the Code Fellows Python 401 Advanced Software Development course taught by Cris Ewing. There are still many un-implemented features which may continue to be worked on in the future, as this project is still in the somewhat 'early' stages.

Python web application for a smart lock powered by Raspberry Pi. It features facial recognition for security (proof-of-concept, I would not recommend this for practical application--yet!). This code is for the main Django server.

The project consists of three components: the Raspberry Pi, the django server, and the flask server. The Django server is where a user can register an account along with their Raspberry Pi controlled lock.

Here is a link to the project on hackster.io: https://www.hackster.io/secured-pi/facial-recognition-rfid-lock-with-raspberry-pi-e81f98

• From the Django site, a user can control the lock with the press of a button, take pictures, train the facial recognition software, and monitor who has attempted to enter.

• The Flask server is responsible for two-way communication with the Raspberry Pi using a socketio connection (which is essentially a connection that stays alive). Most Raspberry Pi's will be behind a firewall on a local network, and the flask server allows commands to be sent from the Django server to the Raspberry Pi.

• The Raspberry Pi is connected to a motor (attached to a lock), a webcam, and an RFID scanner.

Once everything is set up, a user can open a lock by first scanning their RFID card, and then having a picture of their face taken, which gets sent together to the Django server for authentication. The Raspberry Pi uses facial detection to identify a human face, and the Django server is responsible for actually recognizing the face and issuing commands to unlock the lock.

After cloning this repo and cd into the project directory:

• Install postgres (if needed) and create a database named 'securedpi'

postgres=# CREATE DATABASE securedpi;

Then, create a virtual environment and install requirements:

python3 -m venv ENV
source ENV/bin/activate
pip install -U pip setuptools
pip install -r requirements.txt

Then, you need to install OpenCV3 with the additional facial recognition module. There are several ways of doing this, and I recommend researching it if you have not done this before. You can either install it in this virtual environment, or you can install it globally and copy lib files into the virtual environment.

Then, create a superuser:

./manage.py createsuperuser

Then, in the settings.py file, change the FLASK_SERVER to the appropriate ip address, and then migrate and runserver. When doing this locally, I run the Flask and Django servers on the same machine, and just set the ip to be the network's IP address for the machine running them. If you do not know it, you can run ifconfig to find it.

./manage.py migrate
./manage.py runserver 192.168.1.109:8000

Then, go ahead and create a user account for yourself on the site. Next, we need to set up Flask server and the Rpi:

1. Setting up the Flask server (Needs to be run with python2)

• Clone the flask-socketio-server repository
• Create a virtual environment, install requirements by:

pip2 install -r requirements.txt

• Run the server with:

python2 src/server.py

2. Setting up Raspberry Pi (see repo for more detailed instructions)

• Setup Raspberry Pi by connecting RFID, webcam, and updating the software. Consider a breadboard.
• Clone the raspberry-pi-client repository on to the device.
• Create a virtual environment, activate it, install requirements.txt, and OpenCV. OpenCV2 is sufficient, since we only need it to take pictures of a face.
• Configure Server location in the main.py code, as well as user_authentication.py (more to come).
• Run ./main.py and use your Django server user credentials to register your lock and begin listening to the Flask server. Follow the instructions to enter your account information, including scanning your RFID card. Leave this script running as it listens for instructions from the Flask server. When you run it again, you will only need your Django user login credentials.
• Log back into your normal account associated with the lock on the Django server.
• You should be able to see your lock if all went well. Click on 'Edit Details' and set your lock to active.
• After this, if all went well, you should be able to control the lock manually from the website by hitting the unlock button.

3. Training facial recognition

• Instructions to come...

• Steven Than
• David Smith
• Tatiana Weaver
• Crystal Lessor

Demonstration (sorry, no sound): https://www.youtube.com/watch?v=3Lnaw9H-Upg