Orbital Collision Monitoring System

Advanced satellite tracking and collision prediction using AI-powered analysis of Space-Track.org data

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Data sourced from Space-Track.org

Comprehensive Space Situational Awareness

Monitor orbital objects, predict collisions, and generate AI-powered maneuver plans

3D Orbit Visualization

Real-time 3D visualization of satellite orbits using TLE data from Space-Track

Interactive 3D viewer powered by React Three Fiber displays satellite positions and orbital paths in real-time

Collision Detection

Advanced algorithms analyze Space-Track CDM data to identify potential collisions

Automated detection of conjunction events with configurable time horizons and distance thresholds

AI-Powered Maneuvers

Mistral AI generates optimal collision avoidance maneuver plans

Get detailed delta-V calculations, execution timing, and alternative options for each collision scenario

TLE Data Management

Comprehensive database of Two-Line Element sets from Space-Track.org

Store and manage historical TLE data with automatic orbital propagation using satellite.js

Risk Assessment

Multi-level risk classification based on miss distance and relative velocity

Automatic categorization of collision risks as LOW, MEDIUM, HIGH, or CRITICAL with actionable alerts

LSTM Predictions

Machine learning models predict future satellite trajectories

Python-based LSTM models enhance prediction accuracy beyond standard SGP4 propagation

Official source of Two-Line Element sets and Conjunction Data Messages

This system uses orbital data from Space-Track.org, the official repository of space object catalog data maintained by the U.S. Space Force. Space-Track provides TLE data, Conjunction Data Messages (CDM), and satellite catalog information essential for space situational awareness.

To use this system:

Create a free account at Space-Track.org
Download TLE data or access their API
Import the data through our dashboard
Monitor collisions and generate maneuver plans

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