Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Monitoring method and system based on face recognition and head and shoulder detection

A head and shoulder detection and face recognition technology, applied in the field of monitoring methods and systems based on face recognition and head and shoulder detection, can solve problems such as low efficiency and large workload, so as to ensure the safety of life and property, save police force and time Effect

Pending Publication Date: 2019-12-06
福建省趋普物联科技有限公司
View PDF8 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Heavy workload and low efficiency

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
  • Monitoring method and system based on face recognition and head and shoulder detection
  • Monitoring method and system based on face recognition and head and shoulder detection
  • Monitoring method and system based on face recognition and head and shoulder detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] In order to describe the technical content, structural features, achieved purpose and effect of the technical solution in detail, the following will be described in detail in conjunction with specific embodiments and accompanying drawings.

[0037] see figure 1 As shown, it is a flow chart of a monitoring method based on face recognition and head and shoulders detection. This monitoring method based on face recognition and head and shoulders detection includes the following steps,

[0038] S1. According to the monitoring site, deploy and control a specified number of cameras to achieve full coverage monitoring of the site.

[0039] S2. Database management, transferring the required comparison images to the database for storage.

[0040] S3, the camera shoots video images and tracks and captures facial images, encrypts the video images and facial images, and transmits them to the back-end server after encryption.

[0041] S4. The back-end server retrieves the image sto...

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 belongs to the field of artificial intelligence monitoring, and particularly relates to a monitoring method and system based on face recognition and head and shoulder detection. The method comprises the following steps: S1, deploying and controlling a specified number of cameras according to a monitoring place to realize full-coverage monitoring of the place; S2, performing databasemanagement, transmitting the images to be compared to a database for storage; S3, shooting a video image and tracking and capturing a human face image by a camera, and transmitting the image information to a back-end server; S4, the back-end server calling the images stored in the database and comparing and analyzing the images with the face images captured by the camera, detecting and tracking all people in the video by the head and shoulder, acquiring the head and shoulder information of each person, numbering the ID for each person, and tracking the motion trail of each ID; and S5, carryingout early warning if the face matching is successful, and giving a motion track corresponding to the person whose face matching is successful.

Description

technical field [0001] The invention belongs to the field of artificial intelligence monitoring, and more specifically, relates to a monitoring method and system based on face recognition and head and shoulder detection. Background technique [0002] With the improvement of people's living standards, more places in people's daily life are covered with surveillance cameras, and the surveillance system can monitor all aspects of life. In the field of transportation, monitoring systems are used to monitor whether vehicles violate the law. In public places such as shopping malls and schools, monitoring systems are used to monitor people's safety. [0003] A typical monitoring system is mainly composed of five parts: front-end monitoring equipment, transmission equipment, back-end storage, control and display equipment, and the back-end equipment can be further divided into central control equipment and sub-control equipment. The front-end and back-end equipment can be construct...

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
IPC IPC(8): G06K9/00H04N7/18
CPCH04N7/18G06V40/10G06V40/172G06V20/42
Inventor 邹培利
Owner 福建省趋普物联科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products