IoT Raspberry Pi security camera running open-cv for object detection. The camera will send an email with an image of any objects it detects. It also runs a server that provides a live video stream over the internet.
VIDEO:
This project uses a Raspberry Pi Camera to stream video. Before running the code, make sure to configure the raspberry pi camera on your device.
Open the terminal and run
sudo raspi-config
Select Interface Options, then Pi Camera and toggle on. Press Finish and exit.
You can verify that the camera works by running
raspistill -o image.jpg
which will save a image from the camera in your current directory. You can open up the file inspector and view the image.
This project uses openCV to detect objects in the video feed. You can install openCV by using the following tutorial. I used the Python 2.7 version of the tutorial.
The installation took almost 8 hours (!!) on my Raspberry Pi Zero, but it would be considerably faster on a more powerful board like the Raspberry Pi 3.
The tutorial will prompt you to create a virtual environment. Make sure you are using the virtual environment by typing the following commands.
source ~/.profile
workon cvNext, navigate to the repository directory
cd Smart-Security-Camera
and install the dependencies for the project
pip install -r requirements.txt
Note: If you're running python3, you'll have to change the import statements at the top of the mail.py file
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.mime.image import MIMEImage
and change your print statements from quotes to parenthesis
print "" => print()
To get emails when objects are detected, you'll need to make a couple modifications to the mail.py file.
Open mail.py with vim vim mail.py, then press i to edit. Scroll down to the following section
# Email you want to send the update from (only works with gmail)
fromEmail = 'myemail@gmail.com'
fromEmailPassword = 'password1234'
# Email you want to send the update to
toEmail = 'anotheremail@gmail.com'
and replace with your own email/credentials. The mail.py file logs into a gmail SMTP server and sends an email with an image of the object detected by the security camera.
Press esc then ZZ to save and exit.
You can also modify the main.py file to change some other properties.
email_update_interval = 600 # sends an email only once in this time interval
video_camera = VideoCamera(flip=True) # creates a camera object, flip vertically
object_classifier = cv2.CascadeClassifier("models/fullbody_recognition_model.xml") # an opencv classifier
Notably, you can use a different object detector by changing the path "models/fullbody_recognition_model.xml" in object_classifier = cv2.CascadeClassifier("models/fullbody_recognition_model.xml").
to a new model in the models directory.
facial_recognition_model.xml
fullbody_recognition_model.xml
upperbody_recognition_model.xml
Run the program
python main.py
You can view a live stream by visiting the ip address of your pi in a browser on the same network. You can find the ip address of your Raspberry Pi by typing ifconfig in the terminal and looking for the inet address.
Visit <raspberrypi_ip>:5000 in your browser to view the stream.
Note: To view the live stream on a different network than your Raspberry Pi, you can use ngrok to expose a local tunnel. Once downloaded, run ngrok with ./ngrok http 5000 and visit one of the generated links in your browser.
Licensed under the MIT License