公开(公告)号：US20230004784A1

公开(公告)日：2023-01-05

申请号：US17857256

申请日：2022-07-05

Applicant: Smiths Detection, Inc.

Inventor： Jerome Troy ,  John W. Edwards ,  Heather Goldman ,  David Joiner ,  William Miller

IPC: G06N3/04 ,  G06N3/08 ,  H01J49/00 ,  H01J49/02

Abstract: A detection device for detecting the presence of a substance of interest in a sample is described. The device can include a data store comprising executable instructions for at least one convolutional neural network, CNN, configured to process images: and a processor coupled to the data store and configured to execute the instructions to operate the at least one CNN. The detection device can be configured to: obtain spectrometry data, operate a first one of the CNNs to process the spectrometry data to obtain a first CNN output; apply a mask to the spectrometry data to obtain masked data; operate a second one of the CNNs to process the masked data to obtain a second CNN output; and determine if the substance of interest is present in the sample based on both the first CNN output and the second CNN output.

公开(公告)号：US20210133538A1

公开(公告)日：2021-05-06

申请号：US16635633

申请日：2018-07-31

Applicant: SMITHS DETECTION INC.

Inventor： Jerome Troy ,  John W. Edwards ,  Heather Goldman ,  David Joiner ,  William Miller

IPC: G06N3/04 ,  G06N3/08 ,  H01J49/02 ,  H01J49/00

Abstract: A detection device for detecting the presence of a substance of interest in a sample is described. The device can include a data store comprising executable instructions for at least one convolutional neural network, CNN, configured to process images: and a processor coupled to the data store and configured to execute the instructions to operate the at least one CNN. The detection device can be configured to: obtain spectrometry data, operate a first one of the CNNs to process the spectrometry data to obtain a first CNN output; apply a mask to the spectrometry data to obtain masked data; operate a second one of the CNNs to process the masked data to obtain a second CNN output; and determine if the substance of interest is present in the sample based on both the first CNN output and the second CNN output.

公开(公告)号：US11379709B2

公开(公告)日：2022-07-05

申请号：US16635633

申请日：2018-07-31

Applicant: Smiths Detection Inc.

Inventor： Jerome Troy ,  John W. Edwards ,  Heather Goldman ,  David Joiner ,  William Miller

IPC: G06N3/04 ,  G06N3/08 ,  H01J49/00 ,  H01J49/02

Abstract: A detection device for detecting the presence of a substance of interest in a sample is described. The device can include a data store comprising executable instructions for at least one convolutional neural network, CNN, configured to process images: and a processor coupled to the data store and configured to execute the instructions to operate the at least one CNN. The detection device can be configured to: obtain spectrometry data, operate a first one of the CNNs to process the spectrometry data to obtain a first CNN output; apply a mask to the spectrometry data to obtain masked data; operate a second one of the CNNs to process the masked data to obtain a second CNN output; and determine if the substance of interest is present in the sample based on both the first CNN output and the second CNN output.

公开(公告)号：US11769039B2

公开(公告)日：2023-09-26

申请号：US17857256

申请日：2022-07-05

Applicant: Smiths Detection, Inc.

Inventor： Jerome Troy ,  John W. Edwards ,  Heather Goldman ,  David Joiner ,  William Miller

IPC: G06N3/045 ,  G06N3/08 ,  H01J49/00 ,  H01J49/02

CPC classification number: G06N3/045 ,  G06N3/08 ,  H01J49/0036 ,  H01J49/025

Abstract: A detection device for detecting the presence of a substance of interest in a sample is described. The device can include a data store comprising executable instructions for at least one convolutional neural network, CNN, configured to process images: and a processor coupled to the data store and configured to execute the instructions to operate the at least one CNN. The detection device can be configured to: obtain spectrometry data, operate a first one of the CNNs to process the spectrometry data to obtain a first CNN output; apply a mask to the spectrometry data to obtain masked data; operate a second one of the CNNs to process the masked data to obtain a second CNN output; and determine if the substance of interest is present in the sample based on both the first CNN output and the second CNN output.