公开(公告)号：US20250023752A1

公开(公告)日：2025-01-16

申请号：US18486596

申请日：2023-10-13

Applicant: Google LLC

Inventor： Yu-sheng Chen ,  John-Ashton Allen ,  Ankit Mohan

IPC: H04L12/28 ,  H04N7/18

Abstract: This document describes systems and techniques directed at low-cost event history for monitoring device users. In aspects, the techniques include selectively uploading images captured at a monitoring device, such as a doorbell camera or a surveillance camera, to a client device (e.g., a smartphone) or a remote device (e.g., a server). In so doing, the described systems and techniques reduce data transmission and storage overhead.

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.

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.