Check patentability & draft patents in minutes with Patsnap Eureka AI!

Multi-path load balancing asynchronous target detection method, storage medium and processor

A target detection, multi-path load technology, applied in the field of target recognition, can solve problems such as implementation trouble, data loss, and lack of load balancing.

Pending Publication Date: 2020-07-07
SHENZHEN KUANG CHI SPACE TECH CO LTD
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0014] (1) When the YOLO module is working, it just queues up mechanically and does not do load balancing;
[0015] (2) When multi-channel video detection is turned on, it is more troublesome to realize;
[0016] (3) When the server PUSH messages, it is easy to accumulate, which may cause data loss, which must not be allowed

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
  • Multi-path load balancing asynchronous target detection method, storage medium and processor
  • Multi-path load balancing asynchronous target detection method, storage medium and processor
  • Multi-path load balancing asynchronous target detection method, storage medium and processor

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] Target detection is by first identifying the target and then detecting it from many targets. Target recognition is the process by which a particular target (or one type of target) is distinguished from other targets (or other types of targets). It includes both the identification of two very similar targets, and the identification of one type of target from another. figure 1 It is a schematic diagram of a multi-process target detection method in the prior art. As used in the background technology figure 1 The way.

[0044] figure 2 It is a flow chart of the load balancing guide target detection method of the present invention. Such as figure 2 As shown, a multi-channel load balancing asynchronous target detection method includes: S11, the dealer monitors the port occupied by the video sending module to send the image frame, and obtains the input image; S12, uses ZMQ's multi-channel load balancing and queue sharing image frame, Distribute the received image to th...

Embodiment 2

[0049] An embodiment of the present invention also provides a storage medium, the storage medium includes a stored program, wherein, when the above program is running, the process of the above multi-path load balancing asynchronous target detection method is executed.

[0050] Optionally, in this embodiment, the above-mentioned storage medium may be configured to store program codes for executing the following flow of the face attribute recognition method:

[0051] S11, the dealer monitors the port occupied by the video sending module to send the image frame, and obtains the input image;

[0052] S12. Use ZMQ's multi-channel balanced load and queue to share image frames, and distribute the received images to the concurrently enabled multi-process YOLO module;

[0053] S13, the multi-process YOLO module processes and distributes the obtained image frames, and detects the target attributes in the images;

[0054] S14. Through ZMQ multi-path load balancing and queue sharing dete...

Embodiment 3

[0058] An embodiment of the present invention also provides a processor, the processor is used to run a program, wherein, the program executes the steps in the above multi-path load balancing asynchronous target detection method when running.

[0059] Optionally, in this embodiment, the above program is used to perform the following steps:

[0060] S11, the dealer monitors the port occupied by the video sending module to send the image frame, and obtains the input image;

[0061] S12. Use ZMQ's multi-channel balanced load and queue to share image frames, and distribute the received images to the concurrently enabled multi-process YOLO module;

[0062] S13, the multi-process YOLO module processes and distributes the obtained image frames, and detects the target attributes in the images;

[0063] S14. Through ZMQ multi-path load balancing and queue sharing detection results, return to the downstream identification module.

[0064] Optionally, for specific examples in this embo...

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 provides a multi-path load balancing asynchronous target detection method, a storage medium and a processor. The multi-path load balancing asynchronous target detection method comprisesthe steps of: S11, sending a port occupied by an image frame by a dealer monitoring video sending module to obtain an input image; S12, sharing the image frame by using multiple paths of balanced loads and queues of ZMQ, and distributing the received images to a multi-process YOLO module which is started concurrently; S13, processing the distributed image frames by each YOLO process, and detectingto obtain target attributes in the images; S14, and returning the target attributes to downstream identification modules through multipath load balancing of the ZMQ and a queue sharing detection result. According to the multi-path load balancing asynchronous target detection method, multiple paths of YOLO processes are started, multiple paths of video input can be processed in real time at the same time through sharing process information such as queues and dictionaries, hardware resources can be fully utilized through load balancing, and the multi-path load balancing asynchronous target detection method can be universally applied to target identification of a YOLO monitoring system, facenet, tinyface and the like.

Description

technical field [0001] The invention relates to the technical field of target recognition, and more specifically, relates to a multi-path load balancing asynchronous target detection method, a storage medium and a processor. Background technique [0002] Target detection can be used in many fields such as security, industry, and automobile assisted driving. For example, in the security field, it is possible to count the number of people in key areas to prevent crowding and stampedes, and to detect abnormal targets in sensitive areas to prevent area intrusion, etc.; at the same time, target detection It is also the upstream input of visual technologies such as target recognition, instance segmentation, and morphological analysis. The quality of target detection directly determines the processing results of these more complex tasks. [0003] The target detection technology based on computer vision is given an image, given an understanding of the foreground and background of th...

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): G06K9/32G06F9/50
CPCG06F9/505G06V10/25G06F9/50G06V10/24G06V10/40
Inventor 刘若鹏栾琳肖剑雄峰
Owner SHENZHEN KUANG CHI SPACE TECH CO LTD
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com