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公开(公告)号:US12106645B2
公开(公告)日:2024-10-01
申请号:US17568439
申请日:2022-01-04
Applicant: Google LLC
Inventor: Yu-sheng Chen , Matthew Wagner
IPC: G08B13/19 , G08B13/196
CPC classification number: G08B13/19667 , G08B13/19613 , G08B13/19669 , G08B13/19676
Abstract: This document describes techniques, apparatuses, and systems for batch size adjustment using latency-critical event recognition. The techniques described herein enable an electronic device (e.g., security camera) to determine the likelihood of an event of interest (e.g., latency-critical event) occurring in data (e.g., audio and/or video) captured by the electronic device. To make such a determination, the electronic device may switch upload modes to upload the data, using a different batch size to reduce latency, to another device for user access, based on the likelihood of an event of interest occurring in the data. In this way, the techniques, apparatuses, and systems for batch size adjustment using latency-critical event recognition provide an efficient way to provide all-day security monitoring.
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公开(公告)号:US20230215255A1
公开(公告)日:2023-07-06
申请号:US17568439
申请日:2022-01-04
Applicant: Google LLC
Inventor: Yu-sheng Chen , Matthew Wagner
IPC: G08B13/196
CPC classification number: G08B13/19667 , G08B13/19669 , G08B13/19676 , G08B13/19613
Abstract: This document describes techniques, apparatuses, and systems for batch size adjustment using latency-critical event recognition. The techniques described herein enable an electronic device (e.g., security camera) to determine the likelihood of an event of interest (e.g., latency-critical event) occurring in data (e.g., audio and/or video) captured by the electronic device. To make such a determination, the electronic device may switch upload modes to upload the data, using a different batch size to reduce latency, to another device for user access, based on the likelihood of an event of interest occurring in the data. In this way, the techniques, apparatuses, and systems for batch size adjustment using latency-critical event recognition provide an efficient way to provide all-day security monitoring.
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