Autonomous drones are learning to find ‘hidden’ meteorite impact sites

Autonomous drones are learning to find ‘hidden’ meteorite impact sites


Great is easy to find meteorites (or craters) After reaching Earth, the smaller ones are often neglected – scientists restore less than 2 percent of them. Soon, however, there may be a question about sending a robot to do the job. The universe today reports owned by researchers developed A system with autonomous drones uses machine learning to find smaller meteorites in areas of impact, or is ‘hidden’ (even if observers are watching the enemy) or simply inaccessible.

The technology uses a mix of mixed neural networks to identify meteorites based on training images consisting of both online images and staged footage from the team’s collection. This helps artificial intelligence to differentiate between cosmic rocks and ordinary stones, even in different shapes and terrain.

The results are not perfect. Although a test drone correctly sees the planted meteorites, there are some false positives. It may take a while for robotic aircraft to be reliable enough to give accurate results on their own.

The effects of space science are important if the technology proves to be accurate. This will help scientists locate and potentially recover meteorites that are too small or too far to find. This, in turn, can help identify meteorite sources and rock composition. Simply put, drones can fill in the gaps in humanity’s understanding of space debris.

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