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A surveillance system based on Raspberry Pi

Project description

Surveillance system based on Raspberry Pi.

Pisurvl is a surveillance solution with motion detection and alert notifications. This repository contains the server part of the solution. It is implemented in Python and it uses OpenCV to access the camera of the Raspberry Pi. Despite being implemented on top of a Raspberry Pi, the solution should work on any system having a camera that is supported by OpenCV.

Installation

Installing OpenCV

Currently there is no easy way to install OpenCV 3 on Linux. The following commands install all the necessary dependencies to build OpenCV 3:

sudo apt install build-essential cmake git pkg-config
sudo apt install libgtk2.0-dev libavcodec-dev libavformat-dev libswscale-dev libv4l-dev
sudo apt install libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev
sudo apt install libatlas-base-dev gfortran liblapacke-dev
sudo apt install python3 python3-dev python3-setuptools
sudo easy_install3 pip

The following command installs the latest version of Numpy. The installation may take a while to complete.

sudo pip3 install numpy

The following commands download and compile OpenCV 3:

mkdir build-opencv && cd build-opencv
git clone https://github.com/opencv/opencv.git
git clone https://github.com/opencv/opencv_contrib.git
cd opencv_contrib && git checkout 3.2.0 && cd ..
cd opencv && git checkout 3.2.0
mkdir build && cd build
cmake -D CMAKE_BUILD_TYPE=Release \
  -D CMAKE_INSTALL_PREFIX=/usr/local \
  -D OPENCV_EXTRA_MODULES_PATH=`pwd`/../../opencv_contrib/modules \
  ..
make -j4

Then install OpenCV:

sudo make install

Installing PiSurvl

sudo pip3 install --upgrade pisurvl
git clone https://github.com/betabandido/pisurvl.git
sudo cp pisurvl/init/pisurvl.service /etc/systemd/system
sudo systemctl enable pisurvl.service

Configuring PiSurvl

Create a settings file based on the provided template:

mkdir -p ~/.pisurvl
cp pisurvl/template-settings.yaml ~/.pisurvl/settings.yaml

Fill in the fields from and to in the notifications section.

Use Google API Manager to generate some client credentials and download the client_secrets.json file. Then move the file into the PiSurvl configuration folder:

mv client_secrets.json ~/.pisurvl

Execute pisurvl-server to authorize PiSurvl to access Google Drive.

Running PiSurvl

Use systemctl to start the service:

sudo systemctl start pisurvl.service

Development

To upload a new release to PyPI follow the next steps:

  1. Bump version in setup.py
  2. Run python3 setup.py sdist upload

Project details


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