SafeAI

SafeAI is a school security system that uses computer vision to detect weapons in security camera feeds and alert authorities in real-time.

Demo

• https://devpost.com/software/safeai
• https://www.youtube.com/watch?v=fkReZUtE-ZI

Overview

SafeAI provides a comprehensive solution for school safety by leveraging AI-powered weapon detection to identify potential threats before they escalate. The system processes camera feeds in real-time, displaying alerts and threat information on an intuitive dashboard interface.

Core Features

• Real-time weapon detection in camera feeds
• Threat level categorization (NORMAL, LOW, MEDIUM, HIGH)
• Interactive map interface showing camera locations and status
• Security personnel dispatch and response management
• Multi-campus monitoring capabilities

Technologies Used

Frontend:

• Next.js
• React & TypeScript
• Tailwind CSS
• Framer Motion

Backend:

• Flask
• Python

AI/ML:

• Moondream 2 model for image processing
• PyTorch (CUDA-optimized)
• Hardware acceleration for Apple Silicon (MPS), CUDA GPU, with CPU fallback
• Misc: OpenCV, Pillow, HF-Transfer, Gemini

Getting Started

Prerequisites

• Node.js
• Python 3.8+
• CUDA-capable GPU (optional but recommended)

Installation

1. Clone this repository
2. Install frontend dependencies:

cd frontend
npm install

3. Install backend dependencies:

cd backend
pip install -r requirements.txt

IMPORTANT NOTE: If you are running on GPU, after installing requirements.txt, remove the default torch and install the torch for CUDA with:

pip uninstall torch torchvision torchaudio
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118

Running the Application

1. Start the backend:

cd backend
python app.py

2. In a separate terminal, start the frontend:

cd frontend
npm run dev

3. Open http://localhost:3000 with your browser to see the application.

Credits

Developed by:

• Vihaan Sharma
• Rikhil Tanugula
• Jason Shnaper