OrbitalGuard ingests public satellite catalog data, propagates trajectories, and screens for close approaches, giving CubeSat teams, researchers, and small operators clear, sourced risk assessments without a flight-dynamics department.
No signup needed. One click into a shared demo account with real, live catalog data. Or create your own free account.

Data sourced from publicly available catalogs, starting with CelesTrak
Get conjunction screening and watchlist alerts on your own spacecraft without standing up a flight-dynamics team.
Explore public-catalog orbital data with transparent methodology: every number shows its data source, epoch, and age.
Monitor specific objects, track how conjunction risk evolves over time, and get explainable, sourced risk classifications.
See tracked objects around a real-time 3D Earth globe with orbit paths, filtering, and search, powered by CesiumJS.
Broad-phase candidate filtering followed by numerical TCA refinement produces explainable LOW/WATCH/ELEVATED/HIGH risk labels, never a bare score.
Add objects to a watchlist and track how their conjunction risk evolves over time, with a full history of past encounters.
Get notified in-app when a monitored object's risk crosses a threshold you set, with spam-safe deduplication.
Every screenshot below is the live product against real, ingested CelesTrak data. Nothing is staged.

Track real objects around a live Earth globe, powered by CesiumJS and public catalog data.

A live overview of tracked objects, screened encounters, and data freshness at a glance.

Every predicted close approach, with miss distance, relative velocity, and time to closest approach.

Monitor specific objects, set alert thresholds, and see how their risk has changed over time.
Every step below uses the same catalog data shown in the demo. Nothing is staged.
Find any publicly catalogued object, try "ISS", and see its current position, altitude, speed, and data freshness.
OrbitalGuard screens the catalog and shows encounters with TCA, miss distance, relative velocity, and why each was classified the way it was.
Add objects to a watchlist, set a risk threshold, and get an in-app alert when something changes, with risk history to see the trend.
OrbitalGuard performs public-data screening. It supports decision-making; it is not a replacement for operational conjunction assessment or a qualified flight-dynamics process.
Propagation uses SGP4 against mean orbital elements from public GP/OMM data. Accuracy degrades as the element set ages, every object shows its source epoch and data age.
Time of Closest Approach is found by numerically minimizing SGP4-propagated relative distance. Broad-phase orbital-shell and coarse-sampling filters narrow candidates first, then a golden-section search converges on the precise minimum.
Risk levels (LOW / WATCH / ELEVATED / HIGH) are OrbitalGuard-defined thresholds from miss distance and relative velocity, not an international standard, and every classification lists its specific reasons.
Collision probability is never fabricated. Pc requires covariance/uncertainty data not present in public TLE/OMM data, so it is not computed. The product says so explicitly rather than guessing.
Scheduled ingestion of CelesTrak's GP/OMM and SATCAT data. Object elements, classification, launch/decay status, and operator info, refreshed on a per-source-group basis.
The ingestion architecture is provider-agnostic by design, built to add Space-Track, CCSDS CDM feeds, operator ephemerides, or commercial SSA data without re-architecting the core.
Stated plainly, because collision risk software that oversells itself is dangerous.
One click, no signup. This demo runs on the same catalog data as the full product.