CN112966634A - Data sharing control system, identification method and device - Google Patents

Data sharing control system, identification method and device Download PDF

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CN112966634A
CN112966634A CN202110297380.XA CN202110297380A CN112966634A CN 112966634 A CN112966634 A CN 112966634A CN 202110297380 A CN202110297380 A CN 202110297380A CN 112966634 A CN112966634 A CN 112966634A
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周勉
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PCI Suntek Technology Co Ltd
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Abstract

The embodiment of the application discloses a data sharing control system, an identification method and an identification device. According to the technical scheme provided by the embodiment of the application, the face image corresponding to the deployment and control area is collected through the current deployment and control terminal, the face image or the face features obtained through face image recognition are recognized and processed through each deployment and control terminal based on the deployment and control data sharing cluster to obtain the recognition processing result, and whether a deployment and control object exists in the corresponding deployment and control area is judged in real time based on the recognition processing result. By adopting the technical means, the rapid face recognition comparison can be carried out on the basis of the self control database through the control terminal, and the recognition efficiency of the control system is improved. Moreover, the face recognition comparison is carried out in a mode that a plurality of deployment and control terminals share the deployment and control database, the capacity of the deployment and control data is further ensured, the situation that the capacity of the deployment and control data of a single deployment and control terminal limits the deployment and control capacity of the deployment and control system is avoided, and the monitoring and recognition effect of the deployment and control system is further optimized.

Description

Data sharing control system, identification method and device
Technical Field
The embodiment of the application relates to the technical field of data processing, in particular to a data sharing control system, a data sharing identification method and a data sharing identification device.
Background
At present, in areas with dense people flow, such as major activities, major festivals, concerts, stations and the like, key personnel such as criminals can be intelligently checked in a face recognition arrangement mode during duty so as to improve the security activity guarantee capability. When the human face identification is controlled, the human face image is collected in a control area by the aid of the camera, and then the human face image is sent to a system background in a network transmission mode to be identified and compared, so that key personnel controlled are accurately identified, and good safety precaution, criminal tracking and monitoring effects are achieved.
However, the existing deployment and control system generally sends the acquired face images to the system background for identification and comparison, and the identification and comparison process consumes a long time, and is difficult to adapt to the temporary deployment and control scene requirement with limited cost budget.
Disclosure of Invention
The embodiment of the application provides a data sharing control system, a data sharing identification method and a data sharing identification device, which can ensure the control data capacity and simultaneously carry out identification comparison rapidly, and improve the identification efficiency of the system.
In a first aspect, an embodiment of the present application provides a data sharing deployment and control system, including: the system comprises a plurality of control terminals, a plurality of control terminals and a control system, wherein each control terminal comprises a communication module, a camera and a front-end processor, the camera is used for collecting face images corresponding to a control area, the front-end processor is integrated with a control database and a face recognition algorithm, the control database stores control data corresponding to a control object in advance, and the control data are face image data or face feature data; each deployment and control terminal is accessed to a local area network through the communication module for communication connection to form a deployment and control data sharing cluster, and the deployment and control data sharing cluster is used for identifying and processing face images acquired by any deployment and control terminal and judging whether the corresponding deployment and control area has the deployment and control object.
Furthermore, the deployment and control data pre-stored in any two deployment and control databases have an intersection part.
In a second aspect, an embodiment of the present application provides an identification method for a data sharing deployment and control system, which is applied to the data sharing deployment and control system according to the first aspect of the present invention, and includes:
the current deployment and control terminal acquires a face image corresponding to a deployment and control area through a camera;
each control terminal based on the control data sharing cluster carries out identification processing on data to be identified to obtain an identification processing result, wherein the data to be identified comprises the face image or face features obtained based on the face image identification;
and judging whether the corresponding control area has a control object in real time based on the identification processing result.
Further, each deployment and control terminal based on the deployment and control data sharing cluster carries out identification processing on data to be identified to obtain an identification processing result; judging whether a corresponding deployment object exists in the deployment area in real time based on the identification processing result, wherein the judgment comprises the following steps:
the current deployment and control terminal sends the data to be identified to other deployment and control terminals of the deployment and control data sharing cluster through a local area network;
and each deployment and control terminal of the deployment and control data sharing cluster carries out identification processing through a self front-end processor based on the data to be identified to obtain a corresponding identification processing result, and judges whether a deployment and control object exists in the corresponding deployment and control area in real time based on the identification processing result.
Further, each deployment and control terminal based on the deployment and control data sharing cluster carries out identification processing on data to be identified to obtain an identification processing result; judging whether a corresponding deployment object exists in the deployment area in real time based on the identification processing result, wherein the judgment comprises the following steps:
the current deployment and control terminal carries out identification processing through a self front-end processor based on the data to be identified to obtain a first identification processing result, firstly, whether a deployment and control object exists in the corresponding deployment and control area is judged based on the self first identification processing result, and if not, the data to be identified is sent to the rest deployment and control terminals of the deployment and control data sharing cluster through a local area network;
and the other deployment and control terminals of the deployment and control data sharing cluster perform identification processing through the front-end processor of the deployment and control terminals based on the data to be identified to obtain a second identification processing result, and judge whether a deployment and control object exists in the corresponding deployment and control area based on the second identification processing result of the deployment and control terminals.
Further, each deployment and control terminal based on the deployment and control data sharing cluster performs identification processing on data to be identified to obtain an identification processing result, including:
and the control terminal compares the data to be identified with a control database of the control terminal through a face recognition algorithm, and determines the control data with the highest similarity to the data to be identified and corresponding similarity value information as an identification processing result.
Further, the real-time judgment of whether a deployment object exists in the corresponding deployment area based on the recognition processing result includes:
and judging whether the similarity value information in the identification processing result is greater than a preset similarity threshold, if so, judging that a control object exists in the control area, and if not, judging that the control object does not exist in the control area.
Further, the method, based on the recognition processing result, of determining whether a deployment object exists in the corresponding deployment area in real time, further includes:
and if the control object exists in the control area, outputting control alarm information, and if the control object does not exist in the control area, sending the data to be identified to a system background for identification processing.
Further, the method, based on the recognition processing result, of determining whether a deployment object exists in the corresponding deployment area in real time, further includes:
and if the control object exists in the control area, outputting positioning position information corresponding to the control object, wherein the positioning position information is the control area.
Further, the method, based on the recognition processing result, of determining whether a deployment object exists in the corresponding deployment area in real time, further includes:
and if any one of the deployment and control terminals judges that a deployment and control object exists in the deployment and control area, extracting deployment and control data corresponding to the deployment and control object, and sending the deployment and control data and the monitoring prompt corresponding to the deployment and control object to the rest deployment and control terminals of the deployment and control data sharing cluster.
In a third aspect, an embodiment of the present application provides an identification apparatus for a data sharing deployment and control system, including:
the acquisition module is used for acquiring a face image corresponding to the control area through the current control terminal through the camera;
the identification module is used for carrying out identification processing on data to be identified based on each control terminal of the control data sharing cluster to obtain an identification processing result, and the data to be identified comprises the face image or face features obtained based on the face image identification;
and the judging module is used for judging whether the corresponding control distribution area has a control distribution object in real time based on the identification processing result.
In a fourth aspect, embodiments of the present application provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform the identification method of the data sharing commissioning system according to the second aspect.
According to the method and the device, the face image corresponding to the deployment area is collected through the current deployment and control terminal, the face image or the face features obtained through face image recognition are recognized and processed through each deployment and control terminal based on the deployment and control data sharing cluster, the recognition processing result is obtained, and whether a deployment and control object exists in the corresponding deployment and control area or not is judged in real time based on the recognition processing result. By adopting the technical means, the rapid face recognition comparison can be carried out on the basis of the self control database through the control terminal, and the recognition efficiency of the control system is improved. Moreover, the face recognition comparison is carried out in a mode that a plurality of deployment and control terminals share the deployment and control database, the capacity of the deployment and control data is further ensured, the situation that the capacity of the deployment and control data of a single deployment and control terminal limits the deployment and control capacity of the deployment and control system is avoided, and the monitoring and recognition effect of the deployment and control system is further optimized.
Drawings
Fig. 1 is a schematic structural diagram of a data sharing deployment and control system according to an embodiment of the present application;
fig. 2 is a flowchart of an identification method of a data sharing deployment and control system according to an embodiment of the present application;
fig. 3 is a flowchart of a deployment and control terminal identification processing in an embodiment of the present application;
fig. 4 is a flowchart of an identification process of another deployment control terminal in the first embodiment of the present application;
fig. 5 is a schematic structural diagram of an identification device of a data sharing deployment and control system according to a second embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, specific embodiments of the present application will be described in detail with reference to the accompanying drawings. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. It should be further noted that, for the convenience of description, only some but not all of the relevant portions of the present application are shown in the drawings. Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
The embodiment of the application provides a data sharing deployment and control system and an identification method, and aims to construct a deployment and control data sharing cluster through a local area network, so that a face image acquired by any deployment and control terminal can be identified and processed based on the deployment and control data sharing cluster, thereby expanding deployment and control data capacity and optimizing monitoring and identification effects of the deployment and control system. Compared with the traditional control scene, when the human face recognition control is carried out, the human face images collected by the camera are uniformly transmitted to a system background by the front end for recognition and comparison. And after the background of the system finishes the identification comparison, feeding back a corresponding identification comparison result to the front end. The face image needs to be transmitted to a background for identification and comparison, and in the identification and comparison process, the face image needs to be compared with large-scale control data of a system background database. Therefore, the entire identification process is relatively time consuming. And the single control terminal is adopted to independently identify and compare, and the control effect is easily influenced by the control data capacity because the control data which can be stored by the single control terminal is relatively limited. Based on this, the data sharing deployment and control system and the identification method provided by the embodiment of the application are provided to solve the technical problems that the existing deployment and control system is long in identification time consumption and limited in deployment and control data capacity.
The first embodiment is as follows:
fig. 1 shows a schematic structural diagram of a data sharing deployment and control system provided in an embodiment of the present application, and as shown in fig. 1, the data sharing deployment and control system includes a plurality of deployment and control terminals, each of the deployment and control terminals includes a communication module, a camera and a front-end processor, the camera is used for collecting a face image corresponding to a deployment and control area, the front-end processor is integrated with a deployment and control database and a face recognition algorithm, the deployment and control database stores deployment and control data corresponding to a deployment and control object in advance, and the deployment and control data is face image data or face feature data; each deployment and control terminal is accessed to a local area network through the communication module for communication connection to form a deployment and control data sharing cluster, and the deployment and control data sharing cluster is used for identifying and processing face images acquired by any deployment and control terminal and judging whether the corresponding deployment and control area has the deployment and control object.
Specifically, according to the embodiment of the application, the control terminals are connected through local area network communication to construct a control data sharing cluster, and then the collected face images are identified and processed based on the control data sharing cluster. It can be understood that, because the deployment data capacity of a single deployment terminal is limited, the deployment effect is easily affected by the limitation of the deployment data capacity. When the face image is identified through the deployment and control data sharing cluster, all deployment and control terminals of the deployment and control data sharing cluster can participate in the identification, namely, the deployment and control data used for comparison are from the deployment and control databases of all deployment and control terminals, and the data volume of the deployment and control data used by the deployment and control terminals is relatively more than that of the deployment and control data used by a single terminal. Therefore, the problem that the capacity of the deployment and control data of a single deployment and control terminal is limited is solved, and the face image acquired by any deployment and control terminal is identified and processed through the deployment and control data sharing cluster constructed by a plurality of deployment and control terminals, so that the deployment and control effect of the deployment and control system is optimized. In addition, the face images collected by any corresponding control terminal are identified by the control data sharing cluster in the same local area network, and the face images are not required to be transmitted to a system background for processing, so that the time consumption of identification processing can be reduced, and the identification efficiency of the control system is improved.
It should be noted that, in the data sharing deployment and control system according to the embodiment of the present application, when performing face recognition deployment and control, according to the number of deployment and control objects to be monitored, the deployment and control data corresponding to the deployment and control objects may be evenly distributed to each deployment and control terminal, each deployment and control terminal constructs a deployment and control database based on the distributed deployment and control data, and performs face recognition processing based on its own deployment and control database. For example, the data sharing deployment and control system includes five deployment and control terminals of numbers A, B, C, D and E, and if the system needs to monitor 5000 deployment and control objects, there are 5000 deployment and control data correspondingly. When distribution control data are distributed, distributing 1-1000 distribution control data to a distribution control terminal A, distributing 1001-2000 distribution control data to a distribution control terminal B, distributing 2001-3000 distribution control data to a distribution control terminal C, distributing 3001-4000 distribution control data to a distribution control terminal D, distributing 4001-5000 distribution control data to an arrangement control terminal E, and accordingly completing average distribution of the distribution control data. In addition, the control system can also distribute the control data according to the storage capacity of each control terminal and the corresponding proportion. It can be understood that whether the deployment data is distributed evenly or proportionally, the deployment data stored by each deployment terminal in the deployment system is different, and the deployment objects monitored and identified by the deployment terminals are different. Therefore, the control data capacity of the control data sharing cluster can be utilized to the maximum extent, and the control system can monitor and identify more control objects.
In some embodiments, for each deployment terminal in the deployment and control data sharing cluster, the deployment and control data pre-stored in the deployment and control databases of any two deployment and control terminals have an intersection part. When the control data distribution is carried out on each control terminal, the control data are distributed in a partial intersection mode, so that any one control data can be backed up in the control databases on the other control terminals. When a certain distribution control terminal is disconnected or the front-end processor fails, the distribution control object monitored by the distribution control terminal can also be monitored and identified through the distribution control data backed up by other distribution control terminals. Therefore, the fault tolerance of the deployment and control system can be improved, and the monitoring and identification effects of the deployment and control system can be further optimized.
Fig. 2 is a flowchart of an identification method of a data sharing deployment and control system according to an embodiment of the present application, where the identification method of the data sharing deployment and control system provided in this embodiment may be executed by the data sharing deployment and control system, the data sharing deployment and control system may be implemented in a software and/or hardware manner, and the data sharing deployment and control system is formed by a plurality of physical entities.
The following description will be given by taking the data sharing deployment and control system as an example of a main body of the identification method for executing the data sharing deployment and control system. Referring to fig. 2, the identification method of the data sharing control system specifically includes:
s110, the current control terminal collects a face image corresponding to a control area through a camera;
s120, each control terminal based on the control data sharing cluster carries out identification processing on data to be identified to obtain an identification processing result, wherein the data to be identified comprises the face image or face features obtained based on the face image identification;
and S130, judging whether the corresponding control area has a control object in real time based on the identification processing result.
Illustratively, the data sharing control system in the embodiment of the application can be applied to scenes such as major activities, performances or stations, and the like, and performs targeted face recognition monitoring on a certain area range. When the data sharing control system is used for controlling, the cameras are arranged corresponding to the area range to be monitored, and can be arranged at intersections, halls and even all areas to be monitored. And selecting a plurality of control areas according to the monitoring requirement in the area range, and arranging cameras corresponding to the control areas so as to acquire the face images aiming at the control areas. It should be noted that, in the deployment and control terminal according to the embodiment of the present application, the camera, the communication module, and the front-end processor are generally integrated and integrally arranged in a physical structure. In some embodiments, one deployment and control terminal can be provided with a plurality of cameras, face images collected by the cameras correspond to the face images, and the face images can be directly distributed to a deployment and control data sharing cluster through a communication module of the deployment and control terminal to be processed, and can also be uploaded to a front-end processor of the deployment and control terminal to be further processed. The deployment and control terminal carries out the recognition processing of the face images in a mode that one front-end processor is in butt joint with a plurality of cameras, is suitable for deployment and control scenes with a large number of cameras, can make full use of the computing resources of the front-end processor, and avoids the situation that the computing resources are excessive due to the fact that a single processor is in butt joint with a single camera.
And in the operation process of the data sharing control system, the human face images are collected through the cameras of all control terminals in the monitoring area range. Taking a deployment and control terminal in the data sharing deployment and control system as an example, when face recognition deployment and control are performed, the deployment and control terminal acquires a face image through a camera at present. Based on the collected face image, the face image can be directly distributed to each control terminal of the control data sharing cluster for identification processing, or a front-end processor of the current control terminal can be used for face feature identification, so that the corresponding face feature is determined, and further processing is carried out based on the determined face feature. And defining the acquired face image or the face features obtained based on the face image recognition as data to be recognized, and performing recognition processing on each control terminal of the control data sharing cluster corresponding to the data to be recognized. The data to be identified can be processed directly through the deployment data sharing cluster formed by the deployment terminals. Or the current deployment and control terminal processes the data to be identified, and based on the identification processing result of the current deployment and control terminal, if the deployment and control object is not identified, the data to be identified is distributed to the rest deployment and control terminals of the deployment and control data sharing cluster for processing.
Specifically, referring to fig. 3, the identification processing flow of the deployment and control terminal includes:
s1201, the current deployment and control terminal sends the data to be identified to other deployment and control terminals of the deployment and control data sharing cluster through a local area network;
s1301, each deployment and control terminal of the deployment and control data sharing cluster conducts recognition processing through a front-end processor of the deployment and control terminal based on the data to be recognized to obtain a corresponding recognition processing result, and whether a deployment and control object exists in the corresponding deployment and control area is judged in real time based on the recognition processing result.
After the camera of the current deployment and control terminal acquires the face image, the face image is directly distributed to the rest deployment and control terminals in the deployment and control data sharing cluster. Or the front-end processor extracts the face features of the face image through a face recognition algorithm, and then distributes the face features to the rest control terminals in the control data sharing cluster. After that, the current deployment terminal and the rest deployment terminals of the deployment data sharing cluster perform identification processing based on the data to be identified at the same time. If the data to be recognized is a face image, each control terminal needs to extract face features of the face image through a face recognition algorithm, and further performs feature comparison based on respective control databases to determine a recognition processing result. If the data to be identified is the face features, each control terminal can directly compare the features based on the respective control database to determine the identification processing result. Correspondingly, if the deployment data stored in the deployment database is the face image of the deployment object, the face features of each face image in the deployment database need to be extracted first, and further face feature comparison is performed. Generally speaking, the deployment and control database can directly store the face features extracted based on the deployment and control object face image, so that the face features can be compared subsequently, and the face recognition efficiency is improved.
On the other hand, referring to fig. 4, another identification processing flow of the deployment and control terminal is provided, and the identification processing flow includes:
s1202, the current deployment and control terminal conducts recognition processing through a front-end processor of the current deployment and control terminal based on the data to be recognized to obtain a first recognition processing result, whether a deployment and control object exists in the corresponding deployment and control area is judged based on the first recognition processing result of the current deployment and control terminal, and if not, the data to be recognized is sent to the rest deployment and control terminals of the deployment and control data sharing cluster through a local area network;
s1302, the other deployment and control terminals of the deployment and control data sharing cluster perform identification processing through the front-end processor of the deployment and control terminal based on the data to be identified to obtain a second identification processing result, and judge whether a deployment and control object exists in the corresponding deployment and control area based on the second identification processing result.
Different from the above-mentioned manner of directly distributing the data to be identified to the deployment and control data sharing cluster, each deployment and control terminal of the deployment and control data sharing cluster performs identification processing on the data to be identified at the same time. In the above-mentioned identification processing flow of S1202-S1302, for the face image collected by the current deployment and control terminal, the identification processing is performed by the front-end processor of the current deployment and control terminal. The front-end processor of the current deployment and control terminal extracts the face features of the face image based on a face recognition algorithm, and further compares the face features with a deployment and control database of the front-end processor to determine a recognition processing result. This recognition processing result is defined as a first recognition processing result. It can be understood that if it is determined that the deployment object exists in the corresponding deployment area based on the identification processing result, the data to be identified does not need to be sent to the rest deployment terminals of the deployment data sharing cluster for identification processing. If the control object does not exist in the control area based on the control database, the current control terminal distributes the data to be identified to the other control terminals of the control data sharing cluster for further identification processing, determines a corresponding identification processing result, defines the identification processing result as a second identification processing result, and judges whether the control object exists in the corresponding control area again based on the second identification processing result. The method has the advantages that the calculation tasks of the rest of the deployment and control terminals can be properly reduced by sequentially processing the data to be identified by the current deployment and control terminal and the rest of the deployment and control terminals, and only when the current deployment and control terminal judges that no deployment and control object exists in the corresponding deployment and control area, the calculation resources of the rest of the deployment and control terminals are used for identification processing, so that the consumption of the calculation resources of the rest of the deployment and control terminals can be avoided, and the data processing pressure of each deployment and control terminal is reduced. It should be noted that when the current deployment and control terminal determines that there is no deployment and control object in the corresponding deployment and control area, the data to be identified sent to the rest of deployment and control terminals of the deployment and control data sharing cluster is generally the face features that have been subjected to feature extraction, so that the flow of face feature extraction performed by the rest of deployment and control terminals can be reduced, and the efficiency of identification processing is further improved.
Specifically, when any one of the deployment and control terminals performs identification processing on data to be identified, the data to be identified is compared with the deployment and control database of the deployment and control terminal through a face identification algorithm, and the deployment and control data with the highest similarity to the data to be identified and corresponding similarity value information are determined as an identification processing result. And comparing the human face characteristics to determine the similarity value of the human face characteristics between the data to be identified and each piece of control data in the control database. And selecting the control data with the highest similarity value and the corresponding similarity information as an identification processing result for further judgment. And judging whether the similarity value information in the identification processing result is greater than a preset similarity threshold, if so, judging that a control object exists in the control area, and if not, judging that the control object does not exist in the control area. It can be understood that, when the similarity information between the data to be identified and a certain piece of deployment data reaches the set similarity threshold, it is determined that the data to be identified and the deployment data correspond to the same deployment object, that is, the deployment object is found in the deployment area monitored by the camera which collects the data to be identified. On the contrary, if the similarity information of the data to be identified and a certain piece of deployment control data does not reach the similarity threshold, the data to be identified is not corresponding to the deployment control object to which the deployment control data belongs, that is, the deployment control object is not found in the deployment control area monitored by the camera which collects the data to be identified.
Further, when determining whether a deployment object exists in the corresponding deployment area, if it is determined that the deployment object exists in the deployment area, outputting deployment alarm information, and if it is determined that the deployment object does not exist in the deployment area, sending the data to be identified to a system background for identification processing. Specifically, after any one deployment terminal in the deployment and control data sharing cluster determines that a deployment and control object exists, the corresponding deployment and control alarm information is output to prompt that the deployment and control object is found in the current corresponding deployment and control area. The deployment and control alarm information can be sent to a system background for alarm prompt, and can also be sent to a front end for alarm prompt. Each control terminal can be preset with an alarm prompting device (such as a display screen, an audible and visual alarm and the like) to output and prompt alarm information. When the front end carries out the alarm prompt, the alarm prompt can be carried out by all the deployment and control terminals, the deployment and control terminals which find the deployment and control object or the deployment and control terminals which collect the human face image of the deployment and control object. In one embodiment, the deployment and control terminal determines that the data to be identified is acquired by the deployment and control terminal or shared by other deployment and control terminals in the deployment and control data sharing cluster based on the data to be identified corresponding to the discovered deployment and control object. If the data to be identified is collected by the self-body, the alarm prompt information is directly output through the self-body alarm prompt device. And if the data to be identified is shared by other deployment and control terminals, returning the alarm prompt information to the deployment and control terminal sharing the data to be identified.
In one embodiment, if it is determined that a deployment object exists in the deployment area, positioning position information corresponding to the deployment object is output, and the positioning position information is the deployment area. It can be understood that, when determining that a deployment object exists in a corresponding deployment area and performing alarm prompt, the deployment terminal corresponding to the system background or having a display screen may also output the positioning position information synchronously by using the deployment area as the positioning position information of the current deployment object based on the deployment area information of the discovered deployment object. Therefore, the monitoring personnel can determine the specific position of the found deployment and control object through the display screen of the deployment and control terminal or the display interface of the system background, and further achieve a better monitoring and tracking effect.
In addition, in one embodiment, if any one of the deployment and control terminals determines that a deployment and control object exists in the deployment and control area, the deployment and control data corresponding to the deployment and control object is extracted, and the deployment and control data and the monitoring reminder corresponding to the deployment and control object are sent to the other deployment and control terminals of the deployment and control data sharing cluster. Because the deployment and control data stored in each deployment and control terminal are completely or partially different, in order to track and monitor the discovered deployment and control object in the monitoring area range, the deployment and control data of the deployment and control object needs to be distributed to the other deployment and control terminals in the deployment and control data sharing cluster, and when the deployment and control data is sent, the monitoring prompt of the deployment and control object is attached. After other deployment and control terminals of the deployment and control data sharing cluster receive the monitoring prompt of the deployment and control object and the corresponding deployment and control data, the deployment and control data is stored in a deployment and control database, and when face images of the deployment and control object are acquired subsequently, the deployment and control object can be identified and positioned based on the deployment and control data stored in the deployment and control database, so that the identification and tracking of the deployment and control object are realized. Compared with the method that the collected face images are distributed to the control data sharing cluster for identification processing, the control data of the found control objects are distributed to each control terminal in advance, the face images of the subsequently collected control objects can be directly identified on the corresponding control terminals, identification processing is not needed to be carried out by means of the control data sharing cluster, and therefore the identification positioning efficiency of the control objects can be improved, and better monitoring tracking effect is achieved.
The face image corresponding to the deployment and control area is collected through the current deployment and control terminal, the face image or the face features obtained through face image recognition are recognized and processed through each deployment and control terminal based on the deployment and control data sharing cluster to obtain a recognition processing result, and whether a deployment and control object exists in the corresponding deployment and control area is judged in real time based on the recognition processing result. By adopting the technical means, the rapid face recognition comparison can be carried out on the basis of the self control database through the control terminal, and the recognition efficiency of the control system is improved. Moreover, the face recognition comparison is carried out in a mode that a plurality of deployment and control terminals share the deployment and control database, the capacity of the deployment and control data is further ensured, the situation that the capacity of the deployment and control data of a single deployment and control terminal limits the deployment and control capacity of the deployment and control system is avoided, and the monitoring and recognition effect of the deployment and control system is further optimized.
Example two:
on the basis of the foregoing embodiment, fig. 5 is a schematic structural diagram of an identification device of a data sharing deployment and control system according to a second embodiment of the present application. Referring to fig. 5, the identification apparatus of the data sharing control system provided in this embodiment specifically includes: the device comprises an acquisition module, an identification module and a judgment module.
The acquisition module is used for acquiring a face image corresponding to a control area through a camera by a current control terminal;
the identification module is used for carrying out identification processing on data to be identified based on each control terminal of the control data sharing cluster to obtain an identification processing result, and the data to be identified comprises the face image or face features obtained based on the face image identification;
and the judging module is used for judging whether the corresponding control distribution area has a control distribution object in real time based on the identification processing result.
The face image corresponding to the deployment and control area is collected through the current deployment and control terminal, the face image or the face features obtained through face image recognition are recognized and processed through each deployment and control terminal based on the deployment and control data sharing cluster to obtain a recognition processing result, and whether a deployment and control object exists in the corresponding deployment and control area is judged in real time based on the recognition processing result. By adopting the technical means, the rapid face recognition comparison can be carried out on the basis of the self control database through the control terminal, and the recognition efficiency of the control system is improved. Moreover, the face recognition comparison is carried out in a mode that a plurality of deployment and control terminals share the deployment and control database, the capacity of the deployment and control data is further ensured, the situation that the capacity of the deployment and control data of a single deployment and control terminal limits the deployment and control capacity of the deployment and control system is avoided, and the monitoring and recognition effect of the deployment and control system is further optimized.
The identification device of the data sharing control and deployment system provided by the second embodiment of the present application can be used to execute the identification method of the data sharing control and deployment system provided by the first embodiment of the present application, and has corresponding functions and beneficial effects.
Example three:
embodiments of the present application further provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform a method for identifying a data sharing deployment and control system, where the method for identifying a data sharing deployment and control system includes: the current deployment and control terminal acquires a face image corresponding to a deployment and control area through a camera; each control terminal based on the control data sharing cluster carries out identification processing on data to be identified to obtain an identification processing result, wherein the data to be identified comprises the face image or face features obtained based on the face image identification; and judging whether the corresponding control area has a control object in real time based on the identification processing result.
Storage medium-any of various types of memory devices or storage devices. The term "storage medium" is intended to include: mounting media such as CD-ROM, floppy disk, or tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Lanbas (Rambus) RAM, etc.; non-volatile memory such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in a first computer system in which the program is executed, or may be located in a different second computer system connected to the first computer system through a network (such as the internet). The second computer system may provide program instructions to the first computer for execution. The term "storage medium" may include two or more storage media residing in different locations, e.g., in different computer systems connected by a network. The storage medium may store program instructions (e.g., embodied as a computer program) that are executable by one or more processors.
Of course, the storage medium provided in the embodiments of the present application contains computer-executable instructions, and the computer-executable instructions are not limited to the identification method of the data sharing deployment and control system described above, and may also perform related operations in the identification method of the data sharing deployment and control system provided in any embodiment of the present application.
The identification device and the storage medium of the data sharing deployment and control system provided in the above embodiments may execute the identification method of the data sharing deployment and control system provided in any embodiment of the present application, and reference may be made to the identification method of the data sharing deployment and control system provided in any embodiment of the present application without detailed technical details described in the above embodiments.
The foregoing is considered as illustrative of the preferred embodiments of the invention and the technical principles employed. The present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present application has been described in more detail with reference to the above embodiments, the present application is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present application, and the scope of the present application is determined by the scope of the claims.

Claims (12)

1. A data sharing deployment and control system is characterized by comprising: the system comprises a plurality of control terminals, a plurality of control terminals and a control system, wherein each control terminal comprises a communication module, a camera and a front-end processor, the camera is used for collecting face images corresponding to a control area, the front-end processor is integrated with a control database and a face recognition algorithm, the control database stores control data corresponding to a control object in advance, and the control data are face image data or face feature data; each deployment and control terminal is accessed to a local area network through the communication module for communication connection to form a deployment and control data sharing cluster, and the deployment and control data sharing cluster is used for identifying and processing face images acquired by any deployment and control terminal and judging whether the corresponding deployment and control area has the deployment and control object.
2. The data sharing orchestration system of claim 1, wherein there is an intersection portion of the pre-stored orchestration data of any two of the orchestration databases.
3. A method for identifying a data sharing deployment and control system, applied to the data sharing deployment and control system according to any one of claims 1-2, comprising:
the current deployment and control terminal acquires a face image corresponding to a deployment and control area through a camera;
each control terminal based on the control data sharing cluster carries out identification processing on data to be identified to obtain an identification processing result, wherein the data to be identified comprises the face image or face features obtained based on the face image identification;
and judging whether the corresponding control area has a control object in real time based on the identification processing result.
4. The identification method of the data sharing deployment and control system according to claim 3, characterized in that, the data to be identified is identified based on each deployment and control terminal of the deployment and control data sharing cluster to obtain an identification result; judging whether a corresponding deployment object exists in the deployment area in real time based on the identification processing result, wherein the judgment comprises the following steps:
the current deployment and control terminal sends the data to be identified to other deployment and control terminals of the deployment and control data sharing cluster through a local area network;
and each deployment and control terminal of the deployment and control data sharing cluster carries out identification processing through a self front-end processor based on the data to be identified to obtain a corresponding identification processing result, and judges whether a deployment and control object exists in the corresponding deployment and control area in real time based on the identification processing result.
5. The identification method of the data sharing deployment and control system according to claim 3, characterized in that, the data to be identified is identified based on each deployment and control terminal of the deployment and control data sharing cluster to obtain an identification result; judging whether a corresponding deployment object exists in the deployment area in real time based on the identification processing result, wherein the judgment comprises the following steps:
the current deployment and control terminal carries out identification processing through a self front-end processor based on the data to be identified to obtain a first identification processing result, firstly, whether a deployment and control object exists in the corresponding deployment and control area is judged based on the self first identification processing result, and if not, the data to be identified is sent to the rest deployment and control terminals of the deployment and control data sharing cluster through a local area network;
and the other deployment and control terminals of the deployment and control data sharing cluster perform identification processing through the front-end processor of the deployment and control terminals based on the data to be identified to obtain a second identification processing result, and judge whether a deployment and control object exists in the corresponding deployment and control area based on the second identification processing result of the deployment and control terminals.
6. The identification method of the data sharing deployment and control system according to claim 3, wherein the identification processing of the data to be identified based on each deployment and control terminal of the deployment and control data sharing cluster to obtain the identification processing result comprises:
and the control terminal compares the data to be identified with a control database of the control terminal through a face recognition algorithm, and determines the control data with the highest similarity to the data to be identified and corresponding similarity value information as an identification processing result.
7. The method for identifying the data sharing deployment and control system according to claim 6, wherein the step of judging whether the deployment and control object exists in the corresponding deployment and control area in real time based on the identification processing result comprises the steps of:
and judging whether the similarity value information in the identification processing result is greater than a preset similarity threshold, if so, judging that a control object exists in the control area, and if not, judging that the control object does not exist in the control area.
8. The identification method of the data sharing deployment and control system according to claim 3, wherein the step of judging whether the deployment and control object exists in the corresponding deployment and control area in real time based on the identification processing result further comprises:
and if the control object exists in the control area, outputting control alarm information, and if the control object does not exist in the control area, sending the data to be identified to a system background for identification processing.
9. The identification method of the data sharing deployment and control system according to claim 3, wherein the step of judging whether the deployment and control object exists in the corresponding deployment and control area in real time based on the identification processing result further comprises:
and if the control object exists in the control area, outputting positioning position information corresponding to the control object, wherein the positioning position information is the control area.
10. The identification method of the data sharing deployment and control system according to claim 3, wherein the step of judging whether the deployment and control object exists in the corresponding deployment and control area in real time based on the identification processing result further comprises:
and if any one of the deployment and control terminals judges that a deployment and control object exists in the deployment and control area, extracting deployment and control data corresponding to the deployment and control object, and sending the deployment and control data and the monitoring prompt corresponding to the deployment and control object to the rest deployment and control terminals of the deployment and control data sharing cluster.
11. An identification device of a data sharing control system is characterized by comprising:
the acquisition module is used for acquiring a face image corresponding to the control area through the current control terminal through the camera;
the identification module is used for carrying out identification processing on data to be identified based on each control terminal of the control data sharing cluster to obtain an identification processing result, and the data to be identified comprises the face image or face features obtained based on the face image identification;
and the judging module is used for judging whether the corresponding control distribution area has a control distribution object in real time based on the identification processing result.
12. A storage medium containing computer-executable instructions for performing the method of identifying a data sharing orchestration system according to any one of claims 3-10 when executed by a computer processor.
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