CN114842527A - Smart city-based hierarchical face recognition system and method - Google Patents
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Abstract
The invention provides a hierarchical face recognition system and a method based on a smart city, which are characterized in that image data in a community are collected through image collection units with unique numbers, the image data and the corresponding numbers are sent to a corresponding first face recognition system, preliminary analysis of the image data is completed in the system, and a face picture collected by the face recognition system at a community level is transmitted to a second face recognition platform at a higher city level or a district level in a server directory mapping mode; the face picture, the corresponding shooting timestamp and the number corresponding to the image acquisition unit are stored in a local directory of a current first face recognition system, so that the occupied network bandwidth is small, the network bandwidth performance expense caused by acquiring all videos is avoided, the face picture of the camera is acquired under the conditions of not modifying a network, saving the network bandwidth and reducing the performance expense of a server, and the extension of the urban face recognition system to each community is realized.
Description
Technical Field
The invention relates to the technical field of public security informatization management, in particular to a grading face recognition system and method based on a smart city.
Background
Face recognition is a research hotspot of artificial intelligence and pattern recognition at present, and along with the development of science and technology, the requirements of rapid, efficient and automatic face recognition are increasingly urgent. The technology has wide application in the fields of certificate verification, criminal investigation, entrance control, information security, video monitoring and the like.
At present, in the actual engineering application process, a face recognition platform of a smart city or a smart community is deployed on a public network, cannot be directly connected with a camera of a single intra-cell network, and cannot directly acquire data acquired by the camera of the intra-cell network. To deal with this problem, there are two solutions at present; the method comprises the steps that a network of hardware such as cameras in a cell is modified, the cameras are connected to a public network, but some cell devices are old, an electric power system is limited, and hardware modification space is limited, so that modification of the network in the cell is very complex and high in cost due to the factors; in the second solution, the face recognition platform of the smart city acquires video data of the cameras through the cell video platform, and simultaneously analyzes real-time videos of all the cameras in the cell, so that excessive data can cause pressure on the calculation performance of the whole system, extra calculation power consumption can be caused, the bandwidth occupied by the videos is large, and the network in a part of old cells is difficult to support.
Therefore, due to the above difficulties, there is a need for an improved face recognition platform for smart cities in residential and public networks.
Disclosure of Invention
The invention provides a hierarchical face recognition system and method based on a smart city, which are used for overcoming the defects in the prior art.
The invention provides a hierarchical face recognition system based on a smart city, which comprises a plurality of image acquisition units, a plurality of first face recognition systems and a plurality of second face recognition systems, wherein the image acquisition units are connected with the first face recognition systems;
each image acquisition unit is provided with a unique number and is used for acquiring image data in a corresponding community and sending the image data and the corresponding number to the corresponding first face identification system;
each first face recognition system is connected with a plurality of lower-level image units in a corresponding community, image data uploaded by the lower-level image units are obtained, face pictures are screened from the image data according to face characteristics, and the face pictures, corresponding shooting time stamps and numbers of corresponding image acquisition units are stored in a local directory of the current first face recognition system; mapping a local directory to the second face recognition system;
the second face recognition system is connected with each first face recognition system, analyzes the local directory, and obtains a corresponding face picture, a corresponding shooting timestamp and a number corresponding to the image acquisition unit, so as to obtain image data corresponding to the image acquisition unit.
According to the hierarchical face recognition system based on the smart city, the second face recognition system is provided with a plurality of virtual image acquisition units, and each virtual image acquisition unit corresponds to each image acquisition unit one by one and has the same number;
acquiring the corresponding image acquisition unit through the number of each virtual image acquisition unit so as to acquire the image data acquired by the image acquisition unit; and the face pictures are sequenced according to the shooting time stamps to generate snapshot records collected by the image collecting unit.
According to the hierarchical face recognition system based on the smart city, the corresponding shooting time stamp and the number of the corresponding image acquisition unit are used as the name of the face picture, and the face picture is stored in the local directory of the first face recognition system in a picture format.
According to the hierarchical face recognition system based on the smart city, the image acquisition unit acquires video data, and the first face recognition system analyzes data of each frame in the video data so as to extract a face photo and a shooting time stamp of the corresponding frame in the video data.
According to the hierarchical face recognition system based on the smart city, the local directory of the first face recognition system also stores the location information corresponding to each image acquisition unit, and the second face recognition system acquires the number of the corresponding image acquisition unit according to the image format stored in the local directory, so as to acquire the location information.
According to the hierarchical face recognition system based on the smart city, the second face recognition system analyzes face features in all picture formats and stores feature points after acquiring the local directory of the first face recognition system;
and for the first face recognition system in the same community, inquiring according to the face features of the target so as to obtain a plurality of face pictures with the same face features, and generating a moving track of the target in the community according to the corresponding time stamp and the location information.
On the other hand, the invention also provides a grading face recognition method based on the smart city, which comprises the following steps:
the image acquisition units acquire image data in corresponding communities and send the image data and the numbers of the corresponding image acquisition units to corresponding first face identification systems;
each first face recognition system acquires image data uploaded by a plurality of lower-level image units, screens face pictures from the image data according to face characteristics, and stores the face pictures, corresponding shooting time stamps and numbers of corresponding image acquisition units into a local directory of the current first face recognition system; mapping the local directory to a second face recognition system;
the second face recognition system is connected with each first face recognition system, analyzes the local directory, and obtains a corresponding face picture, a corresponding shooting timestamp and a number corresponding to the image acquisition unit, so as to obtain image data corresponding to the image acquisition unit.
The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the steps of any one of the event processing and scheduling methods.
The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the event handling scheduling method as described in any of the above.
The invention provides a hierarchical face recognition system and method based on a smart city, wherein each image acquisition unit is provided with a unique number and is used for acquiring image data in a corresponding community and sending the image data and the corresponding number to a corresponding first face recognition system; the primary analysis of the image data is completed in a community-level face recognition system, and a face picture acquired by the community-level face recognition system is transmitted to a second face recognition platform at a higher city level or a district level in a server directory mapping mode; save to present through the serial number with people's face picture, the shooting time stamp that corresponds and the corresponding image acquisition unit in the local directory of first people's face identification system to through the mode of transmission people's face picture, than obtaining video data from district video platform, the bandwidth that occupies is little, avoid the network loan performance cost that the video that obtains all cameras in district leads to, do not make the network transformation, save the network bandwidth, under the condition of the performance cost of reduction server, accomplish the collection to camera people's face picture, do the data support for wisdom community and wisdom city.
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In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a schematic structural diagram of a smart city-based hierarchical face recognition system according to the present invention;
FIG. 2 is a schematic flow chart of a smart city-based hierarchical face recognition method according to the present invention;
fig. 3 is a schematic structural diagram of an electronic device provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that, at present, most city-level or district-level face recognition systems in cities are deployed on public networks, and cannot acquire data from intranet cameras of communities, and particularly for some old communities, it is difficult to modify network conditions of the communities, and monitoring videos in the communities are difficult to directly call for security or street departments.
In one embodiment, as shown in fig. 1, the present invention provides a hierarchical face recognition system based on a smart city, which includes a plurality of image acquisition units, a plurality of first face recognition systems and a plurality of second face recognition systems;
each image acquisition unit is provided with a unique number and is used for acquiring image data in a corresponding community and sending the image data and the corresponding number to the corresponding first face identification system;
each first face recognition system is connected with a plurality of lower-level image units in a corresponding community, image data uploaded by the lower-level image units are obtained, face pictures are screened from the image data according to face characteristics, and the face pictures, corresponding shooting time stamps and numbers of corresponding image acquisition units are stored in a local directory of the current first face recognition system; mapping a local directory to the second face recognition system;
the second face recognition system is connected with each first face recognition system, analyzes the local directory, and obtains a corresponding face picture, a corresponding shooting timestamp and a number corresponding to the image acquisition unit, so as to obtain image data corresponding to the image acquisition unit.
The second face recognition system is provided with a plurality of virtual image acquisition units, and each virtual image acquisition unit corresponds to each image acquisition unit one by one and has the same number;
acquiring the corresponding image acquisition unit through the number of each virtual image acquisition unit so as to acquire the image data acquired by the image acquisition unit; and the face pictures are sequenced according to the shooting time stamps to generate snapshot records collected by the image collecting unit.
The corresponding shooting time stamp and the number of the corresponding image acquisition unit are used as the name of the face picture, and the face picture is stored in a local directory of the first face recognition system in a picture format;
specifically, after a camera of an image acquisition unit generates a snapshot record, the snapshot record is stored in a database of a face recognition system of a local cell, and meanwhile, a jpg picture format (id _ timestamp. jpg) named by a corresponding camera id, an underline and a snapshot timestamp is used for storing a face in a local directory of the cell-level face recognition system;
specifically, the first face recognition system is a face recognition system deployed in each cell, and is configured to analyze video data or picture data acquired from a camera of an image acquisition unit in the cell; parameters such as id, ip and port of each camera are configured in a cell-level face recognition system, the parameters of the cameras are obtained when the system is started, and video data or picture data of the cameras are obtained in an sdk mode; then, the face in the picture is deducted, and the picture of the face is stored in a system local directory D1, wherein the naming format of the picture is a jpg picture named by a camera id underlined and face snapshot timestamp, and the directory D1 of a lower-level face recognition system is mapped to the directory D2 of a higher-level face recognition system for the upper-level face recognition system to analyze data;
it should be noted that the format of jpg is a preferred format of the embodiment of the present invention, and should not be considered as a further limitation of the present invention;
further, the image acquisition unit acquires video data, and the first face recognition system analyzes data of each frame in the video data, so as to extract a face photo and a shooting time stamp of a corresponding frame in the video data.
Specifically, the local directory of the first face recognition system further stores location information corresponding to each image acquisition unit, and the second face recognition system acquires the number of the corresponding image acquisition unit according to the picture format stored in the local directory, so as to acquire the location information.
In one embodiment, after the second face recognition system acquires the local directory of the first face recognition system, analyzing the face features in all picture formats, and storing feature points;
for the first face recognition system in the same community, inquiring according to the face features of the target to obtain a plurality of face pictures with the same face features, and generating a moving track of the target in the community according to the corresponding time stamp and the location information;
specifically, the characteristics of the human face can be identified through a built-in neuron network or the human image picture with specific characteristics can be searched through an image algorithm of characteristic analysis, so that units such as public security and the like can conveniently search the action track of a related target, the action video of the related target can be obtained at the first time, and the method has important significance for improving the community safety;
specifically, in the second face recognition system, relevant departments can inquire all face picture snapshot records by inputting the place, the cell name and the time;
optionally, in the second face recognition system, the relevant department may also perform screening from all existing picture information according to the feature points of the searched target person, so as to obtain a corresponding picture name, and may obtain a corresponding camera number and a shooting timestamp from the picture name, so as to obtain original image data from the cell corresponding to the first face recognition system more quickly; the time point position of the target appearing in the video can be locked more quickly through the timestamp, and the efficiency is improved;
optionally, in the second face recognition system, the corresponding virtual image acquisition unit may be selected by setting a number, and further all face recognition images acquired by the image acquisition units with the same number as that of the virtual image acquisition unit are acquired;
the hierarchical face recognition method provided by the present invention is described below, and the method described below and the hierarchical face recognition system described above may be referred to in correspondence with each other.
As shown in fig. 2, a hierarchical face recognition method based on a smart city according to an embodiment of the present invention includes:
the image acquisition units acquire image data in corresponding communities and send the image data and the numbers of the corresponding image acquisition units to corresponding first face identification systems;
each first face recognition system acquires image data uploaded by a plurality of lower-level image units, screens face pictures from the image data according to face characteristics, and stores the face pictures, corresponding shooting time stamps and numbers of corresponding image acquisition units into a local directory of the current first face recognition system; mapping the local directory to a second face recognition system;
the second face recognition system is connected with each first face recognition system, analyzes the local directory, and obtains a corresponding face picture, a corresponding shooting timestamp and a number corresponding to the image acquisition unit, so as to obtain image data corresponding to the image acquisition unit.
Fig. 3 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 3: a processor (processor)310, a communication interface (communication interface)320, a memory (memory)330 and a communication bus 340, wherein the processor 310, the communication interface 320 and the memory 330 communicate with each other via the communication bus 340. The processor 310 may invoke logic instructions in the memory 330 to perform the smart city-based hierarchical face recognition method described above, including:
the image acquisition units acquire image data in corresponding communities and send the image data and the numbers of the corresponding image acquisition units to corresponding first face identification systems;
each first face recognition system acquires image data uploaded by a plurality of lower-level image units, screens face pictures from the image data according to face characteristics, and stores the face pictures, corresponding shooting time stamps and numbers of corresponding image acquisition units into a local directory of the current first face recognition system; mapping the local directory to a second face recognition system;
the second face recognition system is connected with each first face recognition system, analyzes the local directory, and obtains a corresponding face picture, a corresponding shooting timestamp and a number corresponding to the image acquisition unit, so as to obtain image data corresponding to the image acquisition unit.
In addition, the logic instructions in the memory 330 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes 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: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
In another aspect, the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, the computer program including program instructions, when the program instructions are executed by a computer, the computer being capable of executing the hierarchical face recognition method based on a smart city provided by the above methods, including:
the image acquisition units acquire image data in corresponding communities and send the image data and the numbers of the corresponding image acquisition units to corresponding first face identification systems;
each first face recognition system acquires image data uploaded by a plurality of lower-level image units, screens face pictures from the image data according to face characteristics, and stores the face pictures, corresponding shooting time stamps and numbers of corresponding image acquisition units into a local directory of the current first face recognition system; mapping the local directory to a second face recognition system;
the second face recognition system is connected with each first face recognition system, analyzes the local directory, and obtains a corresponding face picture, a corresponding shooting timestamp and a number corresponding to the image acquisition unit, so as to obtain image data corresponding to the image acquisition unit.
In still another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, the computer program being implemented by a processor to perform the foregoing hierarchical smart city-based face recognition methods, including:
the image acquisition units acquire image data in corresponding communities and send the image data and the numbers of the corresponding image acquisition units to corresponding first face identification systems;
each first face recognition system acquires image data uploaded by a plurality of lower-level image units, screens face pictures from the image data according to face characteristics, and stores the face pictures, corresponding shooting time stamps and numbers of corresponding image acquisition units into a local directory of the current first face recognition system; mapping the local directory to a second face recognition system;
the second face recognition system is connected with each first face recognition system, analyzes the local directory, and obtains a corresponding face picture, a corresponding shooting timestamp and a number corresponding to the image acquisition unit, so as to obtain image data corresponding to the image acquisition unit.
The above-described embodiments of the apparatus are merely illustrative, and 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 modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (9)
1. A hierarchical face recognition system based on a smart city is characterized by comprising a plurality of image acquisition units, a plurality of first face recognition systems and a plurality of second face recognition systems;
each image acquisition unit is provided with a unique number and is used for acquiring image data in a corresponding community and sending the image data and the corresponding number to the corresponding first face identification system;
each first face recognition system is connected with a plurality of lower-level image units in a corresponding community, image data uploaded by the lower-level image units are obtained, face pictures are screened from the image data according to face characteristics, and the face pictures, corresponding shooting time stamps and numbers of corresponding image acquisition units are stored in a local directory of the current first face recognition system; mapping a local directory to the second face recognition system;
the second face recognition system is connected with each first face recognition system, analyzes the local directory, and obtains a corresponding face picture, a corresponding shooting timestamp and a number corresponding to the image acquisition unit, so as to obtain image data corresponding to the image acquisition unit.
2. The hierarchical face recognition system based on smart city as claimed in claim 1, wherein the second face recognition system is configured with a plurality of virtual image acquisition units, each virtual image acquisition unit corresponds to each image acquisition unit one by one and has the same number;
acquiring the corresponding image acquisition unit through the number of each virtual image acquisition unit so as to acquire the image data acquired by the image acquisition unit; and the face pictures are sequenced according to the shooting time stamps to generate snapshot records collected by the image collecting unit.
3. The system of claim 2, wherein the name of the face picture is a corresponding shooting timestamp and a corresponding image capturing unit number, and the face picture is saved in a local directory of the first face recognition system in a picture format.
4. The smart city-based hierarchical face recognition system as claimed in claim 3, wherein the image capturing unit captures video data, and the first face recognition system analyzes data of each frame in the video data to extract a face photo and a shooting time stamp of a corresponding frame in the video data.
5. The system according to claim 3, wherein the local directory of the first face recognition system further stores location information corresponding to each image acquisition unit, and the second face recognition system obtains the number of the corresponding image acquisition unit according to the picture format stored in the local directory, thereby obtaining the location information.
6. The smart city-based hierarchical face recognition system as claimed in claim 5, wherein the second face recognition system analyzes the face features in all picture formats and stores feature points after acquiring the local directory of the first face recognition system;
and for the first face recognition system in the same community, inquiring according to the face features of the target so as to obtain a plurality of face pictures with the same face features, and generating a moving track of the target in the community according to the corresponding time stamp and the location information.
7. A hierarchical face recognition method based on a smart city is characterized by comprising the following steps:
the method comprises the steps that an image acquisition unit acquires image data in a corresponding community and sends the image data and the number of the corresponding image acquisition unit to a corresponding first face identification system;
each first face recognition system acquires image data uploaded by a plurality of lower-level image units, screens face pictures from the image data according to face characteristics, and stores the face pictures, corresponding shooting time stamps and numbers of corresponding image acquisition units into a local directory of the current first face recognition system; mapping the local directory to a second face recognition system;
the second face recognition system is connected with each first face recognition system, analyzes the local directory, and obtains a corresponding face picture, a corresponding shooting timestamp and a number corresponding to the image acquisition unit, so as to obtain image data corresponding to the image acquisition unit.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the method of claim 7 are implemented when the processor executes the program.
9. A non-transitory computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to claim 7.
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