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Meteor Detect

screenshot of Meteor Detect

Detecton of meteors in movie files or streaming devices

Github

Overview

The meteor-detectATOCM Cam is an innovative tool designed for astronomy enthusiasts who want to automate the detection of meteors from their video footage. After acquiring an affordable ATOM Cam2, a waterproof night surveillance camera, the creator sought a way to streamline the painstaking task of manually identifying meteors from recorded footage, particularly during events like the Geminid meteor shower. Through this project, the capability to analyze both real-time streaming data and pre-recorded MP4 files for meteor detection has been developed, allowing for a new interactive way to appreciate the beauty of shooting stars.

While this tool offers exciting capabilities, it's important to note that it lacks formal support and can be complex for those not familiar with programming or technical setups. Users will find the software greatly rewarding as it allows for personal enjoyment and creative experimentation with meteor detection.

Features

  • Automatic Meteor Detection: Analyzes RTSP streaming and MP4 video files to autonomously identify meteors, significantly reducing the time required compared to manual viewing.
  • Real-time Analysis: Capable of processing streaming data from ATOM Cam2 in real time, enhancing the experience of meteor watching.
  • User Setup Requirements: Functions with Python (3.8 or later), OpenCV, and NumPy, providing flexibility across multiple operating systems including macOS and Ubuntu.
  • No Support or Warranty: As this tool is designed more as a personal project, there is no official support or warranty, requiring users to troubleshoot independently.
  • Experimental Features: Ongoing experiments include the ability to analyze YouTube live stream data for meteor detection, expanding the application of the tool.
  • Customization: Users can enhance the capabilities of ATOM Cam2 through optional tools, allowing for custom installations without firmware dependencies.
  • Dual Detection: The project achieves a detection accuracy comparable to human capabilities, although differentiation between meteors and airplanes can sometimes be challenging.
  • Time Synchronization: Provides insights on maintaining accurate time for the ATOM Cam2, essential for ensuring precise meteor tracking during observations.