NASA's dream project almost crashed once 😲
From NASA's Mars Mission shared by NASA

NASA's dream project almost crashed once 😲

In 2008, NASA, World’s most technological, scientific, and research advanced organization was working on the NASA Mars Rover Mission. It was a thrilling adventure to explore the Red Planet and gather valuable data about its geology and climate. The mission was a huge undertaking, and it took years of planning, design, and testing to get to the point where two rovers, Spirit and Opportunity, could be sent to Mars.

The rovers were designed to be the most advanced machines ever sent to another planet. They were packed with state-of-the-art scientific instruments and were capable of exploring the Martian surface and sending back data to Earth and one of the key challenges in the mission was selecting landing sites for the rovers that were safe and scientifically interesting. The selection process involved analyzing images of the Martian surface to identify areas that were free of large rocks and other hazards that could damage the rovers. The images were processed to extract data about the terrain, and this data was then used to identify suitable landing sites.

This is precisely when NASA found itself caught in the soup!

Well, the mission experienced a near-miss when incorrect data was extracted from images of the Martian surface and was used to select a landing site for the Spirit rover and led to the selection of a landing site that was too close to a large rock, and the rover was almost damaged as a result.

Sigh! That’s a massive safety compromise when so much is at stake!

What’s worse is, this isn’t really a rare case for organizations, to capture incorrect information from hazy images and not launch rovers on Mars, though we all wish and pray to be able to experience it at least once, but okay! And for organizations that rely on clunker tech or manual effort to decipher information from images across formats, this is as close as it can get to a nightmare coming true!

With stakes so high, having a tool to be able to accurately process documents with hazy images and have a human-in-the-loop rather than assuming digits (clunker tech, remember?) is crucial. And that is exactly what an Intelligent document processing system does!

Our team at Docsumo has built a robust engine to help rule out these ‘small’ errors that you can try out today. And I’d be happy to put you in touch with them to exchange notes.

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