raspycammonitor

A simple and experimental python script to run on raspberry, that uses picamera and opencv-python to detect human presence by face recognition, taking a photo and sending it through email.

It uses the haar-cascade [1] classifier for face detection and some configurations to improve the classifier type and detection scale can be made by envvars configured in .env file.

1 - http://bit.ly/2FjyYB5

Installation and usage

This project requires pipenv.

1. Clone the project git clone https://github.com/fvlima/raspycammonitor.git
2. pipenv install (if any error occurs, try pipenv install --skip-lock)
3. cp default.env .env
4. Edit the .env file with your email credentials and other configuration if necessary
5. Run python monitor.py

Using as a background service

It's possible to configure it as a service, to run in background and automatic launch on system boot, example:

Create the service file

vim /lib/systemd/system/raspycammonitor.service

Edit this file like the lines bellow (change the venv and project location)

[Unit]
Description=Raspberry Py Camera Monitor
After=multi-user.target

[Service]
Type=simple
ExecStart=/your/venv/path/bin/python /your/local/path/raspycammonitor/monitor.py
Restart=on-failure

[Install]
WantedBy=multi-user.target

And run the follow comands in terminal (change the project location)

sudo chmod 644 /lib/systemd/system/raspycammonitor.service
chmod +x /your/local/path/monitor.py
sudo systemctl daemon-reload
sudo systemctl enable raspycammonitor.service
sudo systemctl start raspycammonitor.service

After it, the project is already ready to run. It's possible to see the service status with the follow command

sudo systemctl status raspycammonitor.service

More information about systemd can be found here https://wiki.debian.org/systemd

Configuration file

Here the envvars configuration options are described

SMTP_SERVER=smtp.some-domain.com # the smtp server
SMTP_PORT=587 # the smtp port
[email protected] # the user for smtp login
SMTP_PASS='password' # the user smtp password between single quotes
SMT_USE_TLS=True # if the smpt uses TLS or not

[email protected] # the email that will send the captured image
[email protected] # the email that will receive the captured image
EMAIL_SUBJECT=Face detection # the email subject

CV2_CLASSIFIER=/usr/share/opencv/haarcascades/haarcascade_frontalface_alt.xml # the classifier location
CV2_SCALE_FACTOR=1.1 # cv2 scale factor image detection
CV2_MIN_NEIGHBORS=5 # cv2 min neighbors image detection

CAMERA_RESOLUTION=1024,768 # the picamera resolution
CAMERA_CAPTURE_INTERVAL=2 # the interval in seconds between image capture 

Notes

• This project was tested with python 2.7+ and 3.5+
• Maybe you need to install libopencv-dev