// CASE STUDY · GOVERNMENT / AI
NOAA
Partnered with the National Oceanic and Atmospheric Administration (NOAA) on the "Digital Twin for Earth Observations (EO-DT) Using Artificial Intelligence" project. Developed an AI-driven binary error detection system to automatically identify and report errors in satellite images from GOES and VIIRS satellites, ensuring the data's integrity for earth observation and analysis. This work was published in the AIES journal.
CLIENT
NOAA
CATEGORY
Government / AI
DETECTION ACCURACY
99.2%
DETECTION TIME
<1s
Partnered with the National Oceanic and Atmospheric Administration (NOAA) on the "Digital Twin for Earth Observations (EO-DT) Using Artificial Intelligence" project. Developed an AI-driven binary error detection system to automatically identify and report errors in satellite images from GOES and VIIRS satellites, ensuring the data's integrity for earth observation and analysis. This work was published in the AIES journal.
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DETECTION ACCURACY
DETECTION TIME
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