Surveillance GUI

A GUI model to aid long range surveillance. With our literature, we understand this model performs better without training dataset or ground truth values. We wish to improve the accuracy of the model and reduce the time complexity. In our model, we utilised few steps from the references that are cited below.

Work under Progress

Enabling IP Camera in-built modules for better monitoring and control

Help Required

1. Automatic detection of the connected surveillance devices to be enabled as a list
2. Modify the code to utilise GPU resources (if available) to reduce time complexity

Build Status

Intended Use

Screenshot

Sample images of the GUI

Hardware and Software Requirements

The following frameworks were utilized in the building of this code.

The following tools were utilized in the building of this code.

Pro Tip: Press 'q' to release the connected suveillance device from capturing input for the selected module / feature

Installation of Dependencies / Development Setup

Pre-requisites

The code is developed with Python ver.3.8 and pip ver.21.0.1 in Windows OS and the same is tested on linux OS too. The necessary packages and frameworks can be installed from the Requirements directory. However, one can follow the below mentioned steps in case of any errors.

pip install -r requirements.txt

Firstly, check the version of Python on your system using:

python --version

If you wish to change / upgrade the version or install Python afresh, visit https://www.python.org/downloads/.

pip is a package-management system written in Python used to install and manage software packages. It connects to an online repository of public packages, called the Python Package Index. pip can also be configured to connect to other package repositories. One can check pip version using:

pip --version

If you wish to install pip afresh, do:

python3 -m pip install --upgrade pip

or

sudo apt install python3-pip

Installing the necessary packages and depencies is a pre-requisite. The setup itself varies according to the OS, though the code is really the same. Yet, the GUI is builded with different libraries in runtime, hence it results in differrent appearances of the same GUI accroding to OSs.

Windows OS

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The tkinter package (“Tk interface”) is the standard Python interface to the Tk GUI toolkit. The Tk interface is located in a binary module named _tkinter. It is usually a shared library (or DLL), but might in some cases be statically linked with the Python interpreter. The cffi module is used to invoke callback methods inside the program.

pip install tk
python3 -m pip install cffi

Pillow is a Python Imaging Library (PIL), which adds support for opening, manipulating, and saving images. The current version identifies and reads a large number of formats. It supports wide variety of images such as “jpeg”, “png”, “bmp”, “gif”, “ppm”, “tiff”.

python3 -m pip install --upgrade Pillow

OpenCV is a huge open-source library for computer vision, machine learning, and image processing. OpenCV supports a wide variety of programming languages like Python, C++, Java, etc. It can process images and videos to identify objects, faces, and so on. The library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms.

pip install opencv-python

NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. By reading the image as a NumPy array ndarray, various image processing can be performed using NumPy functions.

pip3 install numpy

Imutils are a series of convenience functions to make basic image processing functions such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV in Python.

pip3 install imutils

Linux OS

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The tkinter package (“Tk interface”) is the standard Python interface to the Tk GUI toolkit. The Tk interface is located in a binary module named _tkinter. It is usually a shared library (or DLL), but might in some cases be statically linked with the Python interpreter. The cffi module is used to invoke callback methods inside the program.

apt-get install python-tk 
sudo apt-get install python-setuptools
sudo apt-get install -y python-cffi

Pillow is a Python Imaging Library (PIL), which adds support for opening, manipulating, and saving images. The current version identifies and reads a large number of formats. It supports wide variety of images such as “jpeg”, “png”, “bmp”, “gif”, “ppm”, “tiff”.

python3 -m pip install --upgrade pip
python3 -m pip install --upgrade Pillow

OpenCV is a huge open-source library for computer vision, machine learning, and image processing. OpenCV supports a wide variety of programming languages like Python, C++, Java, etc. It can process images and videos to identify objects, faces, and so on. The library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms.

sudo apt-get install python3-opencv

NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. By reading the image as a NumPy array ndarray, various image processing can be performed using NumPy functions.

pip3 install numpy

Imutils are a series of convenience functions to make basic image processing functions such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV in Python.

pip3 install imutils

References

1. https://github.com/SYangChen/Detection-of-Moving-Object
2. https://github.com/subeeshvasu/Awesome-Deblurring
3. https://github.com/samuelt121/Turbulence-Mitigation

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