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公开(公告)号:US20220165054A1
公开(公告)日:2022-05-26
申请号:US17594209
申请日:2020-10-13
Applicant: Google LLC
Inventor: Alex Olwal , Kevin Balke , Dmitrii Votintcev
IPC: G06V10/94 , G06V10/764 , G06V40/16 , H04N7/18
Abstract: According to an aspect, a method for distributed sound/image recognition using a wearable device includes receiving, via at least one sensor device, sensor data, and detecting, by a classifier of the wearable device, whether or not the sensor data includes an object of interest. The classifier configured to execute a first machine learning (ML) model. The method includes transmitting, via a wireless connection, the sensor data to a computing device in response to the object of interest being detected within the sensor data, where the sensor data is configured to be used by a second ML model on the computing device or a server computer for further sound/image classification.
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公开(公告)号:US12057126B2
公开(公告)日:2024-08-06
申请号:US17594201
申请日:2020-10-13
Applicant: Google LLC
Inventor: Alex Olwal , Kevin Balke , Dmitrii Votintcev
Abstract: According to an aspect, a method for distributed sound/image recognition using a wearable device includes receiving, via at least one sensor device, sensor data, and detecting, by a classifier of the wearable device, whether or not the sensor data includes an object of interest. The classifier configured to execute a first machine learning (ML) model. The method includes transmitting, via a wireless connection, the sensor data to a computing device in response to the object of interest being detected within the sensor data, where the sensor data is configured to be used by a second ML model on the computing device or a server computer for further sound/image classification.
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公开(公告)号:US20230230597A1
公开(公告)日:2023-07-20
申请号:US17594201
申请日:2020-10-13
Applicant: Google LLC
Inventor: Alex Olwal , Kevin Balke , Dmitrii Votintcev
Abstract: According to an aspect, a method for distributed sound/image recognition using a wearable device includes receiving, via at least one sensor device, sensor data, and detecting, by a classifier of the wearable device, whether or not the sensor data includes an object of interest. The classifier configured to execute a first machine learning (ML) model. The method includes transmitting, via a wireless connection, the sensor data to a computing device in response to the object of interest being detected within the sensor data, where the sensor data is configured to be used by a second ML model on the computing device or a server computer for further sound/image classification.
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公开(公告)号:US20230341704A1
公开(公告)日:2023-10-26
申请号:US18245845
申请日:2020-09-29
Applicant: GOOGLE LLC
Inventor: Alex Olwal , Dmitrii Votintcev
CPC classification number: G02C5/045 , G02B27/0176 , G02C11/10 , G02C5/124 , G02C13/005 , A61B3/04 , G02C2200/08 , G02B2027/0178 , G02B2027/0159 , G02B2027/0158
Abstract: An eyewear includes an adjustable nose bridge adapted to interconnect two half-frames of an eyeglasses frame. The two half-frames are adapted to hold a pair of see-through lenses. A virtual display is embedded in, or overlaid on, at least one of the pair of see-through lenses. The eyeglasses frame utilizes the adjustable nose bridge over a person's nose and temple pieces that rest over the person's ears to hold the pair of see-through lenses in position in front of the person's eyes. The virtual display has an associated eye box for full viewing of the virtual display by the person. The adjustable nose bridge includes one or more bridge-frame fastener arrangements adapted to provide independent adjustments of one or more geometrical parameters of the eyeglasses frame for aligning optics of the eyeglasses frame and the eye box to the user's face and eye geometry.
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