公开(公告)号：US10574890B2

公开(公告)日：2020-02-25

申请号：US15870007

申请日：2018-01-12

Applicant: Movidius LTD.

Inventor： David Moloney ,  Alireza Dehghani

IPC: H04N7/18 ,  H04N5/232 ,  G06K9/00 ,  G06K9/20 ,  G06K9/62 ,  G06K9/66 ,  G06N3/02 ,  G10L19/00 ,  G10L25/51 ,  G10L25/78 ,  H04N5/225 ,  G06F16/16 ,  G10L15/16

Abstract: An example mobile camera includes a first convolutional neural network to recognize a first feature in first sensor data in response to the first feature being detected in the first sensor data; a state transitioner to transition the mobile camera from a first feature detection state to a second feature detection state in response to the first convolutional neural network recognizing the first feature, the mobile camera to operate using higher power consumption in the second feature detection state than in the first feature detection state; a second convolutional neural network to recognize a second feature in second sensor data in the second feature detection state; and a communications interface to send to an external device at least one of first metadata corresponding to the first feature or second metadata corresponding to the second feature.

公开(公告)号：US20190222756A1

公开(公告)日：2019-07-18

申请号：US15870007

申请日：2018-01-12

Applicant: Movidius LTD.

Inventor： David Moloney ,  Alireza Dehghani

IPC: H04N5/232 ,  G06N3/02 ,  G06F17/30 ,  G06K9/20 ,  G06K9/66 ,  G06K9/62 ,  G06K9/00 ,  G10L25/51 ,  G10L25/78 ,  G10L19/00

Abstract: An example mobile camera includes a first convolutional neural network to recognize a first feature in first sensor data in response to the first feature being detected in the first sensor data; a state transitioner to transition the mobile camera from a first feature detection state to a second feature detection state in response to the first convolutional neural network recognizing the first feature, the mobile camera to operate using higher power consumption in the second feature detection state than in the first feature detection state; a second convolutional neural network to recognize a second feature in second sensor data in the second feature detection state; and a communications interface to send to an external device at least one of first metadata corresponding to the first feature or second metadata corresponding to the second feature.

公开(公告)号：US11240430B2

公开(公告)日：2022-02-01

申请号：US16746439

申请日：2020-01-17

Applicant: Movidius LTD.

Inventor： David Moloney ,  Alireza Dehghani

IPC: H04N7/18 ,  H04N5/232 ,  H04N5/225 ,  G06F16/16 ,  G06K9/00 ,  G06K9/20 ,  G06K9/62 ,  G06K9/66 ,  G06N3/02 ,  G10L19/00 ,  G10L25/51 ,  G10L25/78 ,  G10L15/16

Abstract: A disclosed example to operate a mobile camera includes recognizing a first feature in first sensor data in response to the first feature being detected in the first sensor data; transitioning the mobile camera from a first feature detection state to a second feature detection state in response to the recognizing of the first feature, the mobile camera to operate using higher power consumption in second feature detection state than in the first feature detection state; recognizing a second feature in second sensor data in the second feature detection state; and sending to an external device at least one of first metadata corresponding to the first feature or second metadata corresponding to the second feature.

公开(公告)号：US20190279082A1

公开(公告)日：2019-09-12

申请号：US15914854

申请日：2018-03-07

Applicant: Movidius LTD.

Inventor： David Moloney ,  Alireza Dehghani ,  Aubrey Keith Dunne

IPC: G06N3/08 ,  G06N3/04

Abstract: An example includes sending first weight values to first client devices; accessing sets of updated weight values provided by the first client devices, the updated weight values generated by the first client devices training respective first convolutional neural networks (CNNs) based on: the first weight values, and sensor data generated at the client devices; testing performance in a second CNN of at least one of: the sets of the updated weight values, or a combination of ones of the updated weight values from the sets of the updated weight values; selecting server-synchronized weight (SSW) values from the at least one of: the sets of the updated weight values, or a combination of ones of the updated weight values from the sets of the updated weight values; and sending the SSW values to at least one of: at least some of the first client devices, or second client devices.