Criminal Detection System

Overview

The Criminal Detection System is a machine learning project designed to enhance citizen safety and accelerate investigations by identifying interstate and international criminals. Our project leverages advanced facial recognition technology to detect criminals who attempt to conceal their identities using various methods. By connecting with law enforcement and research departments, we aim to contribute to society's welfare through effective criminal identification.

Domain

Machine Learning

Keywords

• Convolutional Neural Network (CNN)
• Facial Recognition
• Society Welfare
• Identification of Criminals
• Image Analysis

Features

• Facial Recognition: Utilizes advanced neural networks to identify and verify individuals from submitted images.
• Convolutional Neural Networks (CNNs): Employs CNNs for high accuracy in distinguishing between criminal and non-criminal facial images.
• Dataset: A diverse set of images used for training and testing the model to ensure robust performance.
• User-Friendly Interface: Allows users to submit images for analysis and identification.
• Integration with Law Enforcement: Provides tools to aid law enforcement agencies in criminal investigations.

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/criminal_detection_system.git
   

2. Navigate to the project directory:

   cd improving_face_recognition_insightface
   

3. Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate   # On Windows use `venv\Scripts\activate`
   
   

4. Install the required dependencies::

   pip install -r requirements.txt