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This is a criminal identification app developed in django that can identify criminals using face recognition

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RadaKichenin/FacialRecognitionForPolice

 
 

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Face Recognition

Recognize faces of thieves captured with CCTV using the world's simplest face recognition library.

Built using dlib's state-of-the-art face recognition built with deep learning. The model has an accuracy of 99.38% on the Labeled Faces in the Wild benchmark.

Installation

Requirements

  • Python 3.3+ or

  • clone this repository

  • git clone

  • #do a pip install

  • pip install -r requirements.txt

  • #modify the database in the settings.py which is this part DATABASES = { 'default': { 'NAME': 'crime_identify', 'ENGINE': 'mysql.connector.django', 'USER': 'root', 'PASSWORD': 'moswa', 'OPTIONS': { 'autocommit': True, }, } }

  • #create a database with the name of your choice

  • #import the sql crime_identify.sql in the root folder for the project you cloned

  • #you can also run a python migrate if you do not want the data populated in my database

Checkout the video at

Thanks

  • Thanks to this repository https://github.com/ageitgey/face_recognition for making this possible
  • Thanks to everyone who works on all the awesome Python data science libraries like numpy, scipy, scikit-image, pillow, etc, etc that makes this kind of stuff so easy and fun in Python.

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