Rapid video snapshot method and system, face recognition module and storage medium

A technology of face recognition and video, which is applied to closed-circuit television systems, TV system components, character and pattern recognition, etc. It can solve the problems of not being able to capture pictures, missing the time of key events, and taking a long time. Achieve the effect of shortening the time of quick capture, ensuring the capture rate and improving the efficiency of video capture

Pending Publication Date: 2022-02-11
BEIJING SENSETIME TECH DEV CO LTD
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The current cloud video capture business needs to go through multiple processes from the triggering of specific events to the actual start of video capture. The process takes a long time, which will lead to missing the time when key events occur, resulting in the inability to capture actual and effective images.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Rapid video snapshot method and system, face recognition module and storage medium
  • Rapid video snapshot method and system, face recognition module and storage medium
  • Rapid video snapshot method and system, face recognition module and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0069] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0070] The application will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0071] When capturing video, the timeliness of the capture is very important, so as to avoid missing the key time point triggered by a specific event and capture complete information. Under this background, this application optimizes the trigger time of video capture based on Alibaba Cloud's cloud video capture scene, so that t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a rapid video snapshot method and system, a face recognition module and a storage medium. The rapid video snapshot method comprises the steps of obtaining a specific event trigger instruction; starting a camera to start capturing a video based on the specific event triggering instruction; sending specific event triggering information to a monitoring server, so that the monitoring server returns a video snapshot instruction; and uploading captured monitoring video data to a monitoring server based on the video capturing instruction. According to the method, the face recognition module triggers the instruction based on the specific event to start capturing the video, and the monitoring video data can be quickly uploaded until the video capturing instruction returned by the monitoring server is received, so that on one hand, the capturing rate of key information can be ensured, on the other hand, the quick capturing time can be shortened, and the video capturing efficiency can be improved.

Description

technical field [0001] The present application relates to the technical field of video surveillance, in particular to a method, system, face recognition module and storage medium for fast video capture. Background technique [0002] The application of smart IoT devices is becoming more and more widespread, and remote video surveillance is one of the application scenarios. Remote video monitoring can facilitate users to view the scene in front of the door anytime, anywhere through the camera on the smart device on the mobile phone APP. When specific events are triggered (such as the lockpicking event on the smart door lock, and the frequent appearance of strangers is monitored), it can also be carried out actively. Video capture allows users to keep abreast of potential safety hazards in the monitored scene. [0003] The current cloud video capture business needs to go through multiple processes from the triggering of specific events to the actual start of video capture. The...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/232H04N7/18G06K9/62
CPCH04N7/18H04N23/64H04N23/80
Inventor 刘春秋谢洪彪王再阔王国君焦建成李雪春
Owner BEIJING SENSETIME TECH DEV CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap