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Video Surveillance System

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

Table of Contents

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.