🛒 Shop Theft Detection System

📌 Objective

This project aims to build an AI system that predicts whether shoplifting has occurred in a surveillance video.
It combines deep learning video classification models with YOLOv8 person detection to create an end-to-end solution for automated shop theft monitoring.

🚀 Features

• Multiple Video Classifiers:
  Includes different deep learning approaches.

• YOLOv8 Person Detection:
  Detects people frame-by-frame in videos and highlights them with bounding boxes.

• Django Web Deployment:
  Upload a video → system predicts whether it contains shoplifting → outputs a video with people detections.

🧠 Models

The system includes multiple deep learning models for video classification:

• EfficientNetB0 + LSTM – Combines spatial and temporal features.
• Simple 3D CNN – Learns spatio-temporal patterns directly from video.
• Video Transformer (ResNet + Transformer) – Extracts frame features with ResNet and models sequences using a Transformer.
• VideoMAE (HuggingFace) – Pretrained transformer for video understanding.

⚙️ Deployment Workflow

• User uploads a video in the Django web app.
• User Choose a Model from EfficientNetB0 + LSTM and Custom 3D CNN.
• Frames are extracted and passed into the chosen video classifier.
• YOLOv8 detects people in frames and draws bounding boxes.
• Output:
  • Prediction (Shoplifter / Non-Shoplifter with confidence).
  • A Video showing detected people.

📂 Project Structure

ComputerVision_Shop_Theft_Classification/
|── Deployment/ProjectUI/
│   │── pages/ 
|   |   │── models/                   
│   |   ├── views.py
│   |   ├── urls.py
│   |   ├── tests.py
│   |   ├── apps.py
│   |   ├── models.py            
│   |   ├── inference.py        
│   |   ├── model_def.py                  
|   |   ProjectUI/
│   |   ├── static/
│   |   ├── __init.py__
│   |   ├── asgi.py
│   |   ├── settings.py
│   |   ├── urls.py
│   |   ├── wsgi.py         
|   |── templates/
|   │── requirements.txt        # Dependencies  
│── notebooks/              
│── README.md               # Project description

🛠️ Installation

Clone repo

git clone https://github.com/bassantsherif123/ComputerVision_Shop_Theft_Classification.git
cd shop-theft-detection

Create environment

python -m venv venv
source venv/bin/activate  # (Linux/Mac)
venv/Scripts/activate     # (Windows)

Install dependencies

pip install -r requirements.txt

▶️ Run Django App

cd Deployment/ProjectUI
python manage.py collectstatic
python manage.py runserver

Open in browser: http://127.0.0.1:8000/

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This project was done in collaboration with my colleague Duaa Swalmeh