CN114172871A - Data processing system, method and storage medium based on video violation detection - Google Patents
Data processing system, method and storage medium based on video violation detection Download PDFInfo
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- H04L65/40—Support for services or applications
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Abstract
The invention discloses a data processing system, a method and a storage medium based on video violation detection, wherein the system comprises a data stream module, a gpu identification server, a message server, a weed file storage server and a thunder database; the data stream module is used for acquiring a front-end video stream and pushing the video stream to a gpu recognition server; the gpu identification server is used for analyzing the video stream to obtain structured data and static resources, pushing the structured data to a message server, and pushing the static resources to a weed file storage server; the message server is used for cleaning the structured data and pushing the cleaned structured data to a thunder database; the thunder database is used for storing the cleaned structured data; the weed file storage server is used for storing static resources. The invention improves the stability of data analysis.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a data processing system and method based on video violation detection and a storage medium.
Background
Video technology, i.e. moving picture transmission, is called video service or video service in the field of telecommunications, and is often called multimedia communication, streaming media (downloading like streaming) communication, etc. in the computer world. With the continuous development of video related technologies and the maturity of technologies such as real-time video, when massive data are analyzed by an algorithm, a service architecture and a data flow direction need to be determined due to the requirements of stability and data accuracy.
Today, big data services are widely used in video technology. The big data service is a big data platform which can be scaled through the bottom layer and various big data applications on the upper layer. The support mechanism or the individual can acquire, transmit, store, process (including calculation, analysis, visualization and the like), exchange and destroy various data services covering data life cycle related activities such as mass, heterogeneous and rapidly-changing data.
The problems of poor service stability, low operation efficiency and the like under big data exist in the prior art.
Disclosure of Invention
In view of the defects in the prior art, the present invention provides a data processing system, method and storage medium based on video violation detection.
In a first aspect, a data processing system based on video violation detection comprises a data stream module, a gpu identification server, a message server, a weed file storage server and a thunder database;
the data stream module is used for acquiring a front-end video stream and pushing the video stream to a gpu recognition server;
the gpu identification server is used for analyzing the video stream to obtain structured data and static resources, pushing the structured data to a message server, and pushing the static resources to a weed file storage server;
the message server is used for cleaning the structured data and pushing the cleaned structured data to a thunder database;
the thunder database is used for storing the cleaned structured data;
the weed file storage server is used for storing static resources.
Further, the structured data includes violation data and event detection data, and the static assets include video clips and pictures.
Further, the message server includes a redis message queue, and the message server is specifically configured to:
and receiving the structured data through a redis message queue, acquiring illegal structured data from the redis message queue, formatting the illegal structured data to obtain structured data in a standard format, and pushing the structured data in the standard format to a thunder database.
And further, the system also comprises a web application interaction server, wherein the web application interaction server is used for carrying out data retrieval on the thunder database and the weed file storage server.
Further, the message server further includes an api retrieval engine, and the web application interaction server performs data retrieval on the thunder database, specifically:
and the web application interactive server searches the illegal data and the event detection data in the thunder database through an api search engine in the message server.
Further, the system also comprises a mysql database server, wherein the mysql database server is used for storing the background configuration information.
Further, the web application interaction server is also used for carrying out data retrieval on the mysql database server.
In a second aspect, a data processing method based on video violation detection includes the steps of:
the data stream module acquires a front-end video stream and pushes the video stream to a gpu recognition server;
the gpu identification server analyzes the video stream to obtain structured data and static resources, pushes the structured data to a message server, and pushes the static resources to a weed file storage server;
and the message server cleans the structured data and pushes the cleaned structured data to a thunder database.
Further, the steps also include:
and the Web application interaction server carries out data retrieval on the thunder database and the weed file storage server.
In a third aspect, a computer-readable storage medium stores a computer program comprising program instructions which, when executed by a processor, cause the processor to perform the method of the second aspect described above.
The invention has the beneficial effects that: through the optimization design of the system framework, the stability and the accuracy of mass data analysis are improved, meanwhile, the efficient cooperation among the service modules is realized, and the stability of program operation and the service operation efficiency under the mass data are improved.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
FIG. 1 is a block diagram of a data processing system based on video violation detection according to an embodiment of the present invention;
fig. 2 is a flowchart of a data processing method based on video violation detection according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and therefore are only examples, and the protection scope of the present invention is not limited thereby.
It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which the invention pertains.
As shown in fig. 1, a data processing system based on video violation detection includes a data stream module, a gpu recognition server, a message server, a weed file storage server, and a thunder database.
The data stream module is used for acquiring a front-end video stream and pushing the video stream to the gpu identification server; the gpu identification server is used for analyzing the video stream to obtain structured data and static resources, pushing the structured data to the message server and pushing the static resources to the weed file storage server; the message server is used for cleaning the structured data and pushing the cleaned structured data to the thunder database; the thunder database is used for storing the cleaned structured data; the weed file storage server is used for storing static resources.
Further, after the front-end video stream is acquired by the data stream module, the video stream is pushed to the gpu identification server, and the gpu identification server analyzes illegal violation and event detection on the video stream through an identification algorithm, so that structured data and static resources are obtained. The structured data includes violation data and event detection data, and the static resources include data such as pictures and video clips. After the gpu recognition server analyzes the structured data and the static resources, illegal data and event detection data are pushed to a message server for further cleaning, and data such as pictures and video clips are pushed to a weed file storage server for storage.
The message server comprises a redis message queue, and the redis message queue is used for receiving the structured data pushed by the gpu recognition server. The message server acquires illegal structured data from the redis message queue, cleans the data, formats the structured data to obtain structured data in a standard format, counts the data, and pushes the structured data in the standard format to a thunder database for storage after cleaning and counting.
The system also comprises a web application interaction server for bearing the web application, and the message server also comprises an api retrieval engine. The web application interactive server retrieves the illegal data and the event detection data in the thunder database through an api retrieval engine in the message server, and is also used for directly retrieving data from the weed file storage server to query static resources.
The system further comprises a mysql database server for storing background configuration information, wherein the background configuration information comprises but is not limited to identification equipment information, user information, department information and other data. The web application interaction server can also perform direct data retrieval on the mysql database server.
Based on the same inventive concept, an embodiment of the present invention provides a data processing method based on video violation detection, as shown in fig. 2, the steps include:
s1, the data flow module obtains the front-end video flow and pushes the video flow to the gpu recognition server;
specifically, the data stream module accesses a front-end video stream, and pushes the video stream to the gpu identification server for identification and analysis.
S2: the gpu identification server analyzes the video stream to obtain structured data and static resources, pushes the structured data to a message server, and pushes the static resources to a weed file storage server;
specifically, the gpu recognition server analyzes the video stream for illegal violation and event detection through a recognition algorithm, so as to obtain structured data and static resources. The structured data includes violation data and event detection data, and the static resources include data such as pictures and video clips. After the gpu recognition server analyzes the structured data and the static resources, illegal data and event detection data are pushed to a message server for further cleaning, and data such as pictures and video clips are pushed to a weed file storage server for storage.
S3: the message server cleans the structured data and pushes the cleaned structured data to a thunder database;
specifically, the message server receives structured data pushed by the gpu identification server through the redis message queue, acquires illegal structured data from the structured data, cleans the data to format the structured data to obtain structured data in a standard format, and meanwhile, counts the data, and pushes the structured data in the standard format to a thunder database for storage after cleaning and counting.
The Web application interaction server can search the illegal data and the event detection data of the thunder database through an api search engine in the message server, can also directly search the static resources of the weed file storage server, and can also search the background configuration information of the mysql database server.
According to the invention, through the optimization design of the system framework, the stability and the accuracy of mass data analysis are improved, meanwhile, the efficient cooperation among all service modules is realized, and the stability of program operation and the service operation efficiency under the big data are improved.
Alternatively, in another preferred embodiment of the present invention, there is provided a readable storage medium storing a computer program comprising program instructions which, when executed by a processor, implement: the data processing method based on video violation detection is disclosed.
The computer readable storage medium may be an internal storage unit of the system according to any of the foregoing embodiments, for example, a hard disk or a memory of the system. The computer readable storage medium may also be an external storage device of the system, such as a plug-in hard drive, Smart Media Card (SMC), Secure Digital (SD) Card, Flash memory Card (Flash Card), etc. provided on the system. Further, the computer readable storage medium may also include both an internal storage unit and an external storage device of the system. The computer-readable storage medium is used for storing the computer program and other programs and data required by the system. The computer readable storage medium may also be used to temporarily store data that has been output or is to be output.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the several embodiments provided in the present application, it should be understood that the disclosed system and method may be implemented in other ways. For example, the above-described system embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electric, mechanical or other form of connection.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention essentially or partially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A data processing system based on video violation detection is characterized by comprising a data stream module, a gpu identification server, a message server, a weed file storage server and a thunder database;
the data stream module is used for acquiring a front-end video stream and pushing the video stream to a gpu recognition server;
the gpu identification server is used for analyzing the video stream to obtain structured data and static resources, pushing the structured data to a message server, and pushing the static resources to a weed file storage server;
the message server is used for cleaning the structured data and pushing the cleaned structured data to a thunder database;
the thunder database is used for storing the cleaned structured data;
the weed file storage server is used for storing static resources.
2. The video violation detection-based data processing system of claim 1, wherein said structured data comprises violation data and event detection data, and wherein said static resources comprise video clips and pictures.
3. The video violation detection-based data processing system of claim 2, wherein said message server comprises a redis message queue, said message server being specifically configured to:
and receiving the structured data through a redis message queue, acquiring illegal structured data from the redis message queue, formatting the illegal structured data to obtain structured data in a standard format, and pushing the structured data in the standard format to a thunder database.
4. The video violation detection-based data processing system of claim 1, further comprising a web application interaction server, wherein said web application interaction server is configured to perform data retrieval on a thunder database and a weed file storage server.
5. The video violation detection-based data processing system of claim 4, wherein the message server further comprises an api retrieval engine, and the web application interaction server performs data retrieval on a thunder database, specifically:
and the web application interactive server searches the illegal data and the event detection data in the thunder database through an api search engine in the message server.
6. The video violation detection-based data processing system of claim 1, further comprising a mysql database server for storing background configuration information.
7. The video violation detection-based data processing system of claim 6, wherein said web application interaction server is further configured to perform data retrieval on a mysql database server.
8. A data processing method based on video violation detection is characterized by comprising the following steps:
the data stream module acquires a front-end video stream and pushes the video stream to a gpu recognition server;
the gpu identification server analyzes the video stream to obtain structured data and static resources, pushes the structured data to a message server, and pushes the static resources to a weed file storage server;
and the message server cleans the structured data and pushes the cleaned structured data to a thunder database.
9. The data processing method based on video violation detection as recited in claim 8, further comprising the steps of:
and the Web application interaction server carries out data retrieval on the thunder database and the weed file storage server.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program comprising program instructions that, when executed by a processor, cause the processor to carry out the method according to any one of claims 8-9.
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