Unlock instant, AI-driven research and patent intelligence for your innovation.

Video image processing system of anti-theft lock

A video image and processing system technology, applied in the computer field, can solve the problems of low efficiency of face recognition of anti-theft locks, etc.

Active Publication Date: 2021-05-28
宁波友好智能安防科技有限公司
View PDF26 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] An embodiment of the present invention provides a video image processing system for an anti-theft lock, aiming to solve the problem of low efficiency of face recognition for an anti-theft lock

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
  • Video image processing system of anti-theft lock
  • Video image processing system of anti-theft lock
  • Video image processing system of anti-theft lock

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] see figure 1 , figure 1 It is a schematic structural diagram of a video image processing system for an anti-theft lock.

[0043] The receiving module 101 is configured to receive the target video captured by the camera.

[0044] The target video can be 5 seconds or 10 seconds. Under the premise that the duration can be set according to the specific usage situation, it is necessary to ensure that the complete facial features of the same person must be collected in the target video.

[0045] The processing module 102 is configured to decompose the target video according to the number of frames, and decompose the target video into multiple preliminary images.

[0046] Decompose the dynamic video, and get the decomposed image today, and calibrate the obtained static image as the preliminary image; it can be easily known that comparing the static image is easier than comparing the dynamic video, and the target Decomposing the video according to the number of frames can ob...

Embodiment 2

[0055] see figure 2 , figure 2 It is a structural schematic diagram of a receiving module in an anti-theft lock video image processing system.

[0056] The collection unit 1011 is configured to collect a preliminary video captured by the camera.

[0057] When the collection unit 1011 receives the video recording instruction, it starts recording immediately.

[0058] The clipping unit 1022 is configured to clip a video segment with facial features in the preliminary video, and mark the video segment as the target video.

[0059] If the collection unit 1011 receives a wrong video recording instruction, the formed video needs to be identified and analyzed by the clipping unit 1022, and it is judged that there are facial features of a human face; when there are no facial features, the video is discarded Video; when there are facial features of the human face, intercept and mark the video segment as the target video, and then discard the video segments of the non-target video....

Embodiment 3

[0062] A video image processing system for an anti-theft lock, which also includes

[0063] The adjustment module is used to collect the light intensity index; set the light intensity index; change the numerical value of the preset value according to the light intensity index, and reduce the numerical value of the preset value when the light intensity index is greater than the light intensity index; when the light intensity index is less than When the light intensity index is used, increase the value of the preset value.

[0064] By adjusting the module, the size of the preset value can be changed, and then the available images that better meet the requirements for unlocking clarity can be screened out.

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 is applicable to the field of computers, and provides a video image processing system of an anti-theft lock, which comprises a receiving module used for receiving a target video acquired by a camera; a processing module used for decomposing the target video according to the frame number and decomposing the target video into a plurality of initial images; an identification module used for analyzing the plurality of initial images and acquiring a definition value; an extraction module used for extracting at least one available image containing the characteristics of any of the five sense organs from an available database; and a synthesis module used for integrating the extracted at least one available image to form a facial image with five sense organs and the definition value greater than a preset value. One or two features which do not meet the unlocking requirement are replaced with features which meet the unlocking condition on the other initial image through the synthesis module, so that the five sense organs on the newly synthesized facial image all meet the unlocking condition, and then the anti-theft lock is successfully unlocked.

Description

technical field [0001] The invention belongs to the field of computers, in particular to a video image processing system for an anti-theft lock. Background technique [0002] With the continuous advancement of science and technology, more and more smart devices have entered people's daily life, and the most common one is the anti-theft lock with biometric function. [0003] Biometrics refers to fingerprint recognition and face recognition, but in the process of using face recognition, the face is not fixed, which requires video processing of the face for a period of time, but the current face recognition When the anti-theft lock performs the above processing, it is necessary to select an image that meets the definition threshold in a video, and then use the image to compare with the image in the database, but it will waste a long time to select an image whose facial features meet the definition , and sometimes even need to re-record. Contents of the invention [0004] An...

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): G07C9/00H04N5/341G06K9/00G06T5/00
CPCG07C9/00563G06V40/16H04N25/41G06T5/73
Inventor 王超朱剑邓超
Owner 宁波友好智能安防科技有限公司