chicostate / smartcctv Goto Github PK

As someone concerned about real-time security, I want to be able to view current camera feeds. 5 7 5 [34]

4 7 6
[25]

Create the I/O core of the SmartCCTV Daemon, with the ability to receive video streams or open photos, and to save photos to a folder.
[15]

For development on this project, we will all need an installation of OpenCV on all our development computers. The project will be compiled against Ubuntu Linux, so ensure your development platform can support makefile compilation.

I recommend using a Linux machine. If you don't have one, you can install a Linux image as a virtual machine through a free virtual machine software (ie, VMWare).

OpenCV installation guides are available online.

We will need a text file with logged information for every image we save. [5]

4 7 10
[15]

As a computer novice, I want an easy way to install and run this program. I don't know what "make -j8" and "sudo apt-get install" do. 5 4 4 [35]

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[21]

Add a UI program to view images and search by timestamp.

SDL may be used for managing the graphics of this UI.
[25]

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[42]

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[20]

Add a listener daemon to notify SmartCCTV Daemon when a new image is added to a watched directory. [10]

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[26]

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Daemons are long running background processes. To ensure SmartCCTV functions as a daemon it has to be detached from the command line interface, otherwise it will be closed along with the window. [0]

5 7 1
[50]

Add human recognition filter to SmartCCTV Daemon. [25]

5 6 4
[40]

This feature was requested by Dallas.

3 7 10
[13]

Add motion detection filter to the SmartCCTV Daemon. [15]

The humanFilter and camera files are currently compile-able through the command line and will run when paired with AITest2.cpp:

#include "/camera.hpp"
int main(int argc, char** argv)
{
Camera cam(0);
cam.record();
return 0;
}

g++ -std=c++11 -ggdb pkg-config --cflags --libs opencv -static-libstdc++ AITest2.cpp camera.cpp humanFilter.cpp -o AITest2

However, they will not currently compile alongside the project using make. The Makefile needs to be updated.

We will be using a microcontroller to process our input data. We may use Konstantin's Jetson Nano board. OpenCV's C++ library will need to be installed on this device. Note that OpenCV installation may NOT be straightforward- the library binaries must be compiled from source code. Leave yourself more time than you think you need to fix any installation bugs.
Link to OpenCV instructions for Ubuntu: https://www.learnopencv.com/install-opencv3-on-ubuntu/
[10]

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