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公开(公告)号:US20220319177A1
公开(公告)日:2022-10-06
申请号:US17544400
申请日:2021-12-07
Applicant: SeeChange Technologies Limited
Inventor: Ariel Edgar RUIZ-GARCIA , David Packwood , Michael Andrew Pallister
IPC: G06V20/50 , G06V10/764 , G06V10/82 , G06V10/44 , G06T7/11 , G06T7/194 , G06V10/774
Abstract: System, apparatus and method of image processing to detect a substance spill on a solid surface such as a floor is disclosed. First data representing a first image, captured by an image sensor, of a region including a solid surface, is received. A trained semantic segmentation neural network is applied to the first image data to determine, for each pixel of the first image, a spill classification value associated with the pixel, the determined spill classification value for a given pixel indicating the extent to which the trained semantic segmentation neural network estimates, based on its training, that the given pixel illustrates a substance spill. The presence of a substance spill on the solid surface is detected based on the determined spill classification values of the pixels of the first image.
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公开(公告)号:US20230177391A1
公开(公告)日:2023-06-08
申请号:US17911558
申请日:2021-03-17
Applicant: SEECHANGE TECHNOLOGIES LIMITED
Inventor: David PACKWOOD , Michael Andrew PALLISTER , Ariel Edgar RUIZ-GARCIA , Nimesh Naresh PATEL , Eleftherios FANIOUDAKIS
IPC: G06N20/00
CPC classification number: G06N20/00
Abstract: Provided is machine learning apparatus comprising: a dataset for input to a training procedure of a machine learning model; data capture logic operable to capture from an object at least one datum for inclusion in the dataset; association logic operable to derive an additional characteristic of the object; annotator logic operable in response to the data capture logic and the association logic to create an annotation linking the additional characteristic with the at least one datum; storage logic operable to store the or each datum with an associated annotation in the dataset; and input logic to supply the dataset as machine learning input.
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