Video Surveillance System

A multi-threaded video surveillance system for capturing and processing video frames from multiple cameras.

Table of Contents

• Overview
• Features
• Prerequisites
• Getting Started
• Usage
• Configuration
• License

Overview

This project is a multi-threaded video surveillance system that captures video frames from multiple cameras, processes the frames, and stores the frame information and images in a database. The system allows you to perform batch processing of video frames and retrieve video clips for specific time intervals.

Features

• Multi-threaded frame capture from multiple cameras.
• Real-time processing and storage of video frames.
• Batch processing of video frames with user-defined duration.
• Retrieval of video clips for specific time intervals.

Prerequisites

Before you begin, ensure you have met the following requirements:

• Python 3.x installed.
• OpenCV (cv2) library installed.
• SQLite database installed (for database functionality).

Getting Started

To get started with this project, follow these steps:

1. Clone the repository:

   git clone https://github.com/melbinjp/MultiCamSurveillance.git
   cd MultiCamSurveillance

2. Install the required Python libraries:

   pip install -r requirements.txt

3. Configure the system by editing the config.ini file.

4. Create the necessary folders:

   (actually created automatiaclly in the code but works the same when created manuallly also)

   mkdir logs images output

5. Run the video surveillance system:

   python video_surveillance_backend.py

6. open another terminal for the same directory then run the camera_feeds_retrieval_program:

   python camera_feeds_retrieval_program.py

Usage

• When you run the system, it will capture frames from the configured cameras, process them, and store them in the images folder.
• You can specify a duration to create video clips from the captured frames. The clips will be saved in the output folder.
• The system logs frame information to the logs folder.

Configuration

You can configure the system by editing the config.ini file. Here are some of the key configurations:

• batch_duration: The duration of each batch in seconds.
• log_file: The file where log information is saved.
• log_level: The log level (e.g., INFO, DEBUG, ERROR).
• error_log: error log for the camera_feeds code file.
• output_fps: Frames per second for the output video clips.

License

This project is licensed under the MIT License - see the LICENSE file for details.