CN112565674A - Exhibition hall central control system capable of realizing remote video monitoring and control - Google Patents
Exhibition hall central control system capable of realizing remote video monitoring and control Download PDFInfo
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- CN112565674A CN112565674A CN202011043815.XA CN202011043815A CN112565674A CN 112565674 A CN112565674 A CN 112565674A CN 202011043815 A CN202011043815 A CN 202011043815A CN 112565674 A CN112565674 A CN 112565674A
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- exhibition hall
- cloud server
- control
- monitoring terminal
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
Abstract
The invention provides a exhibition hall central control system capable of remote video monitoring and control, which comprises: the system comprises a shooting device, a cloud server, a monitoring terminal and a control device; the shooting module is used for acquiring pictures of the exhibition hall and transmitting the pictures to the cloud server; the cloud server is used for receiving the picture and pushing the picture to the monitoring terminal; the monitoring terminal is used for receiving and displaying the picture and sending a device control instruction in the exhibition hall to the cloud server; the cloud server is also used for pushing the control instruction to a control device; and the control device is used for controlling the corresponding devices in the exhibition hall according to the control command. The invention realizes the remote monitoring of the devices in the exhibition hall by remotely acquiring the pictures of the exhibition hall.
Description
Technical Field
The invention relates to the field of monitoring, in particular to a central control system for an exhibition hall, which can be remotely monitored and controlled by videos.
Background
The exhibition hall central control system is an intelligent control system which is necessary for a digital exhibition hall, can control various devices such as acoustooptic and photoelectric devices in the exhibition hall in a centralized manner, and is a system which combines a set of software and hardware and can enable the exhibition hall to be more modern. In the prior art, a central control system of an exhibition hall is generally controlled based on a local area network, and cannot realize remote control.
Disclosure of Invention
Aiming at the problems, the invention provides a central control system for an exhibition hall, which can be remotely monitored and controlled by videos, so as to solve the problems.
The application provides a but exhibition room center control system of remote video monitoring and control, it includes: the system comprises a shooting device 1, a cloud server 2, a monitoring terminal 3 and a control device 4;
the shooting module is used for acquiring pictures of the exhibition hall and transmitting the pictures to the cloud server 2;
the cloud server 2 is used for receiving the picture and pushing the picture to the monitoring terminal 3;
the monitoring terminal 3 is used for receiving and displaying the picture and sending a device control instruction in the exhibition hall to the cloud server 2;
the cloud server 2 is further configured to push the control instruction to the control device 4;
and the control device 4 is used for controlling the corresponding devices in the exhibition hall according to the control command.
The invention has the beneficial effects that: the invention realizes the remote monitoring of the devices in the exhibition hall by remotely acquiring the pictures of the exhibition hall, and when the devices in the exhibition hall need to be controlled, the invention only needs to send instructions through the monitoring terminal 3, thereby realizing the remote control of the devices in the exhibition hall.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
Fig. 1 is a diagram of an exemplary embodiment of a central control system of an exhibition hall capable of remote video monitoring and control according to the present invention.
Detailed Description
The invention is further described with reference to the following examples.
Referring to fig. 1, the present invention provides a central control system for exhibition hall capable of remote video monitoring and control, which includes: the system comprises a shooting device 1, a cloud server 2, a monitoring terminal 3 and a control device 4;
the shooting module is used for acquiring pictures of the exhibition hall and transmitting the pictures to the cloud server 2;
the cloud server 2 is used for receiving the picture and pushing the picture to the monitoring terminal 3;
the monitoring terminal 3 is used for receiving and displaying the picture and sending a device control instruction in the exhibition hall to the cloud server 2;
the cloud server 2 is further configured to push the control instruction to the control device 4;
and the control device 4 is used for controlling the corresponding devices in the exhibition hall according to the control command.
In one embodiment, the shooting device 1 comprises a plurality of cameras, and the plurality of cameras are used for acquiring pictures of an exhibition hall from multiple angles.
In one embodiment, the monitoring terminal 3 comprises a fixed terminal and a mobile terminal; the fixed terminal comprises a desktop computer, and the mobile terminal comprises a tablet computer, a mobile phone and a notebook computer.
In one embodiment, the devices in the exhibition hall include curtains, sound, lights and multimedia video players.
In one embodiment, the control device 4 comprises a PC host provided in an exhibition hall.
In one embodiment, the monitoring terminal 3 includes an identity authentication module, a display module, a communication module and a control module;
the identity authentication module is used for authenticating the identity of a user using the monitoring terminal 3, and the user is allowed to use the monitoring terminal 3 after the identity authentication;
the display module is used for displaying the picture;
the communication module is used for communication between the monitoring terminal 3 and the cloud server 2;
the control module is used for receiving input information of a user, converting the input information of the user into a control instruction, and sending the control instruction to the cloud server 2 through the communication module.
The user using the monitoring terminal 3 needs to be strictly authenticated, otherwise, the devices in the exhibition room may be maliciously controlled, and the exhibition effect is affected.
In one embodiment, the identity verification module comprises a shooting unit, a feature extraction unit and a judgment unit;
the shooting unit is used for acquiring a face image of a user using the monitoring terminal 3 and transmitting the face image to the feature extraction unit;
the feature extraction unit is used for extracting feature information contained in the face image and transmitting the feature information to the judgment unit;
the judging unit is used for matching the feature information sent by the feature extracting unit with the feature information of the face image of the person with the authority of using the monitoring terminal 3, if the matching is successful, the user passes the identity authentication, otherwise, the matching is failed, and the user does not pass the identity authentication.
In one embodiment, acquiring a facial image of a user using the monitoring terminal 3 includes:
judging the image quality of the face image, and if the image quality does not meet the set requirement, acquiring the face image of the user again;
calculating the image quality by:
dividing the facial image into a plurality of regions;
obtaining the quality score of the face image according to the plurality of areas;
if the quality score is larger than a set score threshold value, the image quality of the face image meets the set requirement, otherwise, the image quality of the face image does not meet the set requirement.
The quality of the face image is judged and then transmitted to a subsequent module for processing, so that the waste of processing time of the low-quality face image can be avoided, the time spent on subsequent feature extraction is more than that spent on the previous judgment, if the quality of the face image is poor, the authentication obviously fails, and if the image is obtained again after the authentication fails, the extraction of feature information is useless operation, the computing resource is wasted, and the authentication speed is too low as a result. The embodiment of the application can well solve the problem, firstly judges the image quality, extracts the characteristic information of the image meeting the set requirement, is favorable for improving the efficiency of identity verification, and improves the user experience of the exhibition hall central control system.
In one embodiment, dividing the image into a plurality of regions comprises:
performing skin detection on the face image to acquire a foreground image only containing a face part in the face image;
performing the following division processing on the foreground image in an iterative mode:
the 1 st division divides the foreground image into 4 regions Q with equal area1,n，n∈[1,4]For each region, its division index is found separately:
in the formula, cIndex1,nRepresents a region Q1,nIs divided by an index, | Q1,nI represents region Q1,nTotal number of pixels contained in fqRepresents Q1,nThe pixel value of the pixel point Q in (1), the false represents Q1,nThe mean of the pixel values in (1);
judgment region Q1,nIf the division index is less than the set division threshold, if so, the region Q is not processed1,nDividing again, otherwise, dividing the region Q1,nIs stored in the to-be-divided set wU1For region Q1,nDividing again;
division u, for the set to be divided wUu-1Region Q ofu-1,iIt is divided into 4 regions Q of equal areau-1,i,n，n∈[1,4]For each of the regions, the number of the regions,respectively calculating the division indexes cIndexu-1,i,nJudging the region Qu-1,i,nIf the division index is less than the set division threshold, if so, the region Q is not processedu-1,i,nDividing again, otherwise, dividing the region Qu-1,i,nIs stored in the to-be-divided set wUuFor region Qu-1,i,nDividing again;
the condition of iteration ending is that the iteration number is larger than a set iteration number threshold value or the division indexes of all the areas obtained by division are smaller than a set division threshold value.
In the foreground image, background information is basically filtered, and the background information is not characteristic information which needs to be extracted, so that the number of pixel points participating in operation can be reduced, and the speed of identity authentication can be increased; the foreground image is partitioned because the quality requirements of the image are different at different places, and if the image quality is simply judged globally, the image which can not accurately meet the quality requirements is obviously obtained. A plurality of areas are obtained in a self-adaptive blocking mode, the quality of the areas is calculated and summarized, and the quality judgment accuracy is improved.
In one embodiment, the scoring the quality score of the facial image from the plurality of regions comprises:
where zlf denotes the quality score of the face image, M denotes the total number of regions, SmThe sum of the pixel values of the L components in the Lab color space of all the pixel points in the mth area is represented,
Sb,mthe sum of the pixel values of the L components of all pixel points in the m-th area in the Lab color space is expressed in the standard contrast image,
in the table, zs represents a set constant parameter,
in the above embodiment of the present invention, by calculating the pixel values, the mean values, and the like of the face image and the standard contrast image in each region in the L component, the face image with uneven brightness distribution can be screened to a certain extent, and then the face image meeting the requirement is obtained again. Therefore, the face image with higher quality can be provided for the subsequent identification step, and the safety of the central control system is improved.
In one embodiment, the feature extraction unit comprises a graying subunit, a dividing subunit, a noise reduction subunit and a feature extraction subunit;
the graying subunit is used for performing graying processing on the face image to obtain a grayscale image;
the segmentation subunit is used for performing segmentation processing on the gray level image to obtain a foreground image;
the denoising subunit is configured to perform denoising processing on the foreground image to obtain a denoised image;
the feature extraction unit is used for extracting features of the noise-reduced image to obtain feature information of the noise-reduced image.
In one embodiment, graying the face image to obtain a grayscale image includes:
the face image is converted to a grayscale image using the following formula:
g(x,y)＝α1R(x,y)+α2G(x,y)+α3B(x,y)
in the formula, G (x, y) represents the gray scale value of the pixel point with (x, y) in the gray scale image, R (x, y), G (x, y) and B (x, y) represent the values of the red component, the green component and the blue component in the RGB color space of the pixel point with (x, y) in the face image, and α1、α2And alpha3Indicating the set weight parameter.
In one embodiment, the denoising processing on the foreground image to obtain a denoised image includes:
(1) performing wavelet transformation on the foreground image to obtain a high-frequency coefficient image and a low-frequency coefficient image of the foreground image;
(2) and processing the high-frequency coefficient image as follows:
in the formula, sng represents a sign function, ahf and hf represent a processed high-frequency coefficient image and a processed high-frequency coefficient image respectively, (x, y) represent positions of pixel points, k represents a set control parameter, and t represents a processing threshold; ahf (x, y) and hf (x, y) respectively represent the pixel values of the pixel points with the positions (x, y) in the processed high-frequency coefficient image and the high-frequency coefficient image before processing;
(3) for ahf, the discontinuity is calculated as follows:
for a pixel point with position (x, y) in ahf, calculating a set simU (x, y) of similar pixel points contained in the pixel points in the neighborhood with the size of k × k, wherein the calculation rule is as follows:
in the formula, xsj(iii) a label value representing the jth pixel point in the neighborhood, ahfjRepresenting the pixel value of the jth pixel in the neighborhood, ahf (x, y) representing the pixel value of the pixel located at (x, y) in position ahf, thre1In order to set the flag comparison threshold value,
if the mark value of the jth pixel point in the neighborhood is 1, the jth pixel point belongs to the similar pixel point and is stored in the simU (x, y)
Calculating total number simuN (x, y) of elements in a set simU (x, y) of similar pixel points of the pixel point with the position (x, y) in ahf, and reassigning the pixel value of the pixel point with the position (x, y) according to the simuN (x, y):
in the formula, aahf (x, y) represents the pixel value, thre, of the pixel point with the position (x, y) after reassignment2Representing a preset assigned comparison threshold;
judging whether the pixel point with the position (x, y) in ahf is a discontinuous point or not by the following method:
calculating a judgment index:
in the formula, beta1And beta2Representing a set weight parameter, afave(x, y) represents the mean value of the pixel values of the pixels in the simU (x, y), and aaf (x +1, y) and aaf (x, y-1) respectively represent the pixel values of the pixel with the position of (x +1, y) and the pixel with the position of (x, y-1) after re-assignment;
if pdIndex (x, y) is greater than or equal to the set judgment threshold thre3If yes, the pixel point with position (x, y) in ahf is a non-continuous point;
fourthly, in the foreground image, for discontinuous points, noise reduction processing is carried out by using the following method:
carrying out noise reduction on the discontinuous points by using a filtering window w with the size of 3 multiplied by 3, and sequencing pixel values of pixel points in each row in the w according to the pixel values from large to small to obtain a matrix Mat1For Mat1The minimum value mat in the pixel points of the first row is taken out1,mi(ii) a For Mat1Second column in (1), take out its intermediate value mat2,ma(ii) a For Mat1Third column in (1), take out its maximum value mat3,mi(ii) a Remove set { mat1,mi，mat2,ma，mat3,miTaking the rest pixel values as the pixel values of the non-continuous points;
in the foreground image, except for non-continuous points, pixel points are used as continuous points, and for the continuous points, the following method is used for noise reduction processing:
in the formula (f)dAnd afdNei representing the pixel values of successive points d before and after the noise reduction processing, respectivelydK represents d1×k1Set of pixels in a neighborhood of size, fhRepresentation neidPixel value, fc, of pixel point h ingRepresenting the standard deviation of pixel values of pixel points in said neighborhood,
represents the square of the distance between h and d,
a variance representing the distance between all pixel points in the neighborhood and d.
In one embodiment, the value range of k is: k ∈ [ -1,1 ].
When the method is used for reducing the noise of the image, the pixel points are divided into continuous points and discontinuous points, then different noise reduction modes are selected in a self-adaptive mode according to the characteristics of the two pixel points, so that the method can accurately remove the noise and effectively retain the edge information and the detail information of the image.
Specifically, when the non-continuous points are judged, the images are subjected to wavelet decomposition, and then the high-frequency coefficient images are selected to further judge the non-continuous points, because the high-frequency coefficient images retain the edge information of the images after the wavelet decomposition, the calculation is more targeted, and the judgment result is more accurate. According to the method and the device, threshold processing is carried out before the high-frequency coefficient image is used for judgment, and the influence of noise pixel points on the selection of the discontinuous points can be effectively avoided. The non-continuous point is mainly judged by judging the similarity degree between the non-continuous point and the adjacent pixel point, and if the similarity degree between one pixel point and the pixel point in the adjacent domain is very low, the probability of the non-continuous point as the non-continuous point is higher.
When the noise reduction is performed on the discontinuous points, the replacement of the middle pixel points by using the median in the neighborhood is mainly considered, and when the sorting is performed, each row is compared first, each column is compared, and finally, the selected 3 data are compared, so that the comparison times are lower than that of a traditional comparison algorithm, and the noise reduction processing speed is favorably improved.
When the continuous points are denoised, the correlation degree between the distance and the pixel value between the neighborhood pixel point and the current processing pixel point is considered, the noise is denoised in a weighting mode, and the effective processing of noise points can be realized while the image details are kept.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (7)
1. The utility model provides a but exhibition room center control system of remote video monitoring and control which characterized in that, it includes: the system comprises a shooting device, a cloud server, a monitoring terminal and a control device;
the shooting module is used for acquiring pictures of the exhibition hall and transmitting the pictures to the cloud server;
the cloud server is used for receiving the picture and pushing the picture to the monitoring terminal;
the monitoring terminal is used for receiving and displaying the picture and sending a device control instruction in the exhibition hall to the cloud server;
the cloud server is also used for pushing the control instruction to a control device;
and the control device is used for controlling the corresponding devices in the exhibition hall according to the control command.
2. The exhibition hall central control system capable of remote video monitoring and control as claimed in claim 1, wherein the shooting device comprises a plurality of cameras, and the plurality of cameras are used for acquiring pictures of the exhibition hall from multiple angles.
3. The exhibition hall central control system capable of being remotely monitored and controlled by videos as claimed in claim 1, wherein the monitoring terminals comprise fixed terminals and mobile terminals; the fixed terminal comprises a desktop computer, and the mobile terminal comprises a tablet computer, a mobile phone and a notebook computer.
4. The exhibition hall central control system capable of remote video monitoring and control as claimed in claim 1, wherein the devices in the exhibition hall comprise curtains, sound, lights and multimedia video players.
5. The exhibition hall central control system capable of being remotely monitored and controlled by videos as claimed in claim 1, wherein the control device comprises a PC host computer arranged in the exhibition hall.
6. The exhibition hall central control system capable of being remotely monitored and controlled by videos as claimed in claim 1, wherein the monitoring terminal comprises an identity verification module, an exhibition module, a communication module and a control module;
the identity authentication module is used for authenticating the identity of a user using the monitoring terminal, and the user is allowed to use the monitoring terminal after the identity authentication;
the display module is used for displaying the picture;
the communication module is used for communication between the monitoring terminal and the cloud server;
the control module is used for receiving input information of a user, converting the input information of the user into a control instruction, and sending the control instruction to the cloud server through the communication module.
7. The exhibition hall central control system capable of being remotely monitored and controlled by videos as claimed in claim 1, wherein the identity verification module comprises a shooting unit, a feature extraction unit and a judgment unit;
the shooting unit is used for acquiring a face image of a user using the monitoring terminal and transmitting the face image to the feature extraction unit;
the feature extraction unit is used for extracting feature information contained in the face image and transmitting the feature information to the judgment unit;
the judging unit is used for matching the feature information sent by the feature extracting unit with the feature information of the face image of the person with the authority of using the monitoring terminal, if the matching is successful, the user passes the identity authentication, otherwise, the matching is failed, and the user does not pass the identity authentication.
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| CN202011043815.XA CN112565674A (en) | 2020-09-28 | 2020-09-28 | Exhibition hall central control system capable of realizing remote video monitoring and control |
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| CN202011043815.XA CN112565674A (en) | 2020-09-28 | 2020-09-28 | Exhibition hall central control system capable of realizing remote video monitoring and control |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113190818A (en) * | 2021-05-14 | 2021-07-30 | 广州诚为信息技术有限公司 | Hybrid cloud management platform |
| CN113946126A (en) * | 2021-10-12 | 2022-01-18 | 南京思德展示科技股份有限公司 | Full-media broadcast control system |
-
2020
- 2020-09-28 CN CN202011043815.XA patent/CN112565674A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113190818A (en) * | 2021-05-14 | 2021-07-30 | 广州诚为信息技术有限公司 | Hybrid cloud management platform |
| CN113190818B (en) * | 2021-05-14 | 2022-02-01 | 广州诚为信息技术有限公司 | Hybrid cloud management platform |
| CN113946126A (en) * | 2021-10-12 | 2022-01-18 | 南京思德展示科技股份有限公司 | Full-media broadcast control system |
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