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It’s easy to find great stones (or craters) when they reach Earth, but small ones are often overlooked – scientists receive at least 2 percent of them. Soon, however, it may be a question of sending a robot to do the job. Nature Today reports what researchers have developed machines equipped with stand-alone drones use machine learning to detect small meteorites in the affected areas that are ‘hidden’ (even after observers following a fall) or unable to reach them.
The technology uses a hybrid machine to detect meteorites based on instructional images, based on online images and shooting from a team. This allows AI to distinguish between space rocks and ordinary rocks, even though they have different shapes and terrain patterns.
The results are flawless. While the test drone accurately detected planted meteorites, there were also some false positives. It may take some time for robotic aircraft to become reliable so that they can achieve accurate results on their own.
Essentials in space science are essential if the technology proves to be accurate, however. It can help scientists detect and analyze meteorites that are too small to be located or far away. This, in turn, can help identify meteorite sources and rocks. In short, drones can fill gaps in people’s understanding of the celestial debris that resides in our home.
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