Crime Detection using Machine-Learning

Crime Detection using Machine Learning and web3 is a project that aims to detect criminal activities in video footage using machine learning techniques and store the information in a database using django and web3 as auth.

Installation

Download or clone the repository

  git clone https://github.com/AkhilAndroid/Crime-Detection-using-Machine-Learning.git
  cd Crime-Detection-using-Machine-Learning-and-web3

Now install the dependencies

  pip install -r requirement.txt

Download the pre-trained models and video from Google Drive.

https://bit.ly/40m9Ka4

Extract the files and place them in the root directory of the project.

Demo

Run the following command

Start the server:

python manage.py runserver

Make sure you install Metamask in Chrome

Open http://127.0.0.1:8000/api in Chrome browser to access the web interface.

Replace video4.mp4 with your video in main.py

# Load the video
vid = imageio.get_reader('video4.mp4',  'ffmpeg')
cap = cv2.VideoCapture('video4.mp4')

Now run:

python main.py

Check the result in the website