Vision Guard (AI-Powered CCTV Surveillance System)

Overview

This repository contains the codebase for an AI-powered CCTV surveillance system designed to detect human actions and provide real-time alerts. The system uses IP cameras to monitor premises, detect intrusion, and notify users through a mobile app.

Features

• Real-time human action detection using AI models.
• Alerts and notifications sent to mobile devices.
• Support for both daylight and low-light conditions.
• Integration with IP cameras.
• Historical video footage analysis.
• User-friendly mobile app interface.

Technologies Used

• React Native (Frontend)
• Flask (Backend)
• OpenCV (Computer Vision)
• SQLAlchemy (Database)
• Firebase Cloud Messaging (Push Notifications)

Getting Started

Prerequisites

• Node.js and npm for React Native.
• Python 3.x for the backend.
• IP cameras with accessible video streams.
• Firebase project for push notifications.