首页|'Reducing A Search Space For Item Identification Using Machine Learning' in Pate nt Application Approval Process (USPTO 20240395009)
'Reducing A Search Space For Item Identification Using Machine Learning' in Pate nt Application Approval Process (USPTO 20240395009)
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NETL
NSTL
The following quote was obtained by the news editors from the background informa tion supplied by theinventors: “Identifying and tracking objects within a space poses several technical challenges. For example,Identifying different features of an item that can be used to later identify the item in an image is computationally intensive when the image includes several items. This process may involve identifying an individualitem within the image and then comparing the features for an item against every item in a database thatmay contain thousands of item s. In addition to being computationally intensive, this process requires asigni ficant amount of time which means that this process is not compatible with real- time applications.This problem becomes intractable when trying to simultaneousl y identify and track multiple items.”
NETL
NSTL
