SYSTEM ENABLEMENT BASED ON IMAGE QUALITY ANALYSIS
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United States of America
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Issued Date -
Apr 10, 2025
app pub date -
Sep 17, 2024
filing date -
Sep 17, 2024
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Abstract
Systems and methods include generating a detection output for an image over multiple iterations by applying a dropout randomly to a different convolutional layer of a learning model for each iteration. The detection outputs are clustered, on labels, for each iteration. A total surface area for the clusters is computed over the iteration. A confidence is computed for the image using the total surface area for the clusters as an uncertainty score. A system is disabled if the confidence is below a threshold.
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