Controlling devices in operations areas based on environmental states detected using machine learning
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United States of America
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Mar 4, 2025
Grant Date -
Mar 2, 2023
app pub date -
Aug 26, 2021
filing date -
Aug 26, 2021
priority date (Note) -
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status (Latency Note)
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Abstract
In some embodiments, a system is provided that includes an edge computing device and at least one camera configured to obtain image data depicting at least a portion of an operations area. The edge computing device includes a non-transitory computer-readable medium that has a model data store and computer-executable instructions stored thereon. The instructions cause the edge computing device to perform actions including receiving at least one image from the at least one camera; processing the at least one image using at least one machine learning model stored in the model data store to determine at least one environmental state within the operations area; and controlling a device based on the determined at least one environmental state. The machine learning model is trained by a model management computing system that obtains training data via low-bandwidth connections to edge computing devices.
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