CN116962610A - Image data acquisition processing system and method applied to NVR - Google Patents
Image data acquisition processing system and method applied to NVR Download PDFInfo
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- H—ELECTRICITY
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- H—ELECTRICITY
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/32—Circuits or arrangements for control or supervision between transmitter and receiver or between image input and image output device, e.g. between a still-image camera and its memory or between a still-image camera and a printer device
- H04N1/32101—Display, printing, storage or transmission of additional information, e.g. ID code, date and time or title
- H04N1/32144—Display, printing, storage or transmission of additional information, e.g. ID code, date and time or title embedded in the image data, i.e. enclosed or integrated in the image, e.g. watermark, super-imposed logo or stamp
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Abstract
The application discloses an image data acquisition processing system and method applied to NVR, and relates to the technical field of data processing, wherein the system comprises: the image acquisition unit is used for acquiring and outputting first image data; the first processing unit is used for acquiring the first image data, extracting the first characteristic data, and outputting second characteristic data and second image data loaded with key data after processing based on a set encryption algorithm; the data storage unit is used for independently receiving and storing the second characteristic data and the second image data; the second processing unit is used for calling the second characteristic data and the second image data, acquiring key data from the second image data, decrypting the second characteristic data, and acquiring corresponding first image data from the first image data based on the decrypted first characteristic data in a matching way and outputting the first image data. By the technical scheme, the safety of the image data can be improved, and the image data related to personal privacy in the video image is prevented from being abused.
Description
Technical Field
The application relates to the technical field of data processing, in particular to an image data acquisition and processing system and method applied to NVR.
Background
The NVR is a digital video recorder, can record and store video shot by a camera through network connection, and is a store-and-forward part of a network video monitoring system.
When the NVR works, video signals output by the camera are collected through built-in software or network connection, and are encoded and compressed according to preset parameters, so that the signals can be transmitted to a hard disk for storage through the network, and meanwhile, the high definition and low delay of the video are kept. The late NVR may play back, analyze, and export the video stored in the hard disk according to the user's needs. In addition, the NVR can identify the characteristics of the characters and the objects in the video shot by the camera, judge whether the shot picture has an abnormal or dangerous condition through a built-in intelligent algorithm, and simultaneously can transmit the information to a computer or a mobile phone terminal of a monitoring person, so that the monitoring person can conveniently master the situation in the monitoring area at any time.
Because a large amount of video image information is stored in the NVR and the NVR has an image recognition function, how to ensure the safety of information data in the NVR during image data recognition and avoid misuse of the video image, especially the image data related to personal privacy, is a current urgent problem to be solved.
Disclosure of Invention
Aiming at the problem that image data related to personal privacy in a network video monitoring system is easy to steal and abuse, the application aims at providing an image data acquisition processing system applied to NVR, which realizes physical isolation and logical isolation between image characteristic data and image information in the system by arranging different data storage units and data processing units and matching with a data processing algorithm, reduces the risk of image information leakage caused by image characteristic data leakage, and improves the data security of the network video monitoring system; the second objective is to provide an image data processing method applied to NVR, which comprises the following specific scheme:
an image data acquisition processing system for NVR, comprising:
the image acquisition unit is configured to be in data connection with the image pickup device and acquire and output first image data;
the first processing unit is configured to be in data connection with the image acquisition unit, acquire the first image data, perform image preprocessing on the first image data, extract first characteristic data, and output encrypted second characteristic data and second image data loaded with key data after processing based on a set encryption algorithm;
the data storage unit comprises a first storage module and a second storage module, is in data connection with the first processing unit and is used for receiving and storing the second characteristic data and the second image data respectively;
the second processing unit is configured to call the second feature data and the second image data, acquire key data from one or more pieces of the second image data, decrypt the second feature data, recover corresponding first image data from the second image data, and obtain corresponding first image data from the recovered first image data based on the decrypted first feature data in a matching way and output the first image data.
By the technical scheme, the image data and the characteristic data acquired by the image shooting device are stored and called independently, so that physical isolation is realized, and the possibility that the image characteristics and the image data are stolen at the same time is reduced; meanwhile, two independent data processing units are arranged to realize logical isolation and physical isolation of data processing, the first processing unit is configured to be used for encrypting data, the second processing unit is configured to be used for decrypting data, key information data aiming at single encrypted characteristic data is loaded into a plurality of image data, certain associated image data cannot be directly referenced in the decryption process, a mode of fuzzy retrieval is adopted in a group unit, even if the image data and the characteristic data are stolen at the same time, if a corresponding decryption algorithm is lacked, the original image data is still difficult to recover based on the characteristic data, and the safety of the image data is ensured.
Further, the first processing unit includes:
the image preprocessing module is configured to be in data connection with the image photographing device, acquires first image data and performs data format conversion so as to facilitate extraction and data storage of feature data;
the feature extraction module is configured to be in data connection with the image preprocessing module, acquire first image data after format conversion, extract image feature information from the first image data, and generate and output first feature data;
and the encryption module is internally provided with an asymmetric encryption algorithm, receives the first image data and the first characteristic data, encrypts the first characteristic data through a public key to generate the second characteristic data, and processes the first image data through a private key corresponding to the public key to generate the second image data.
According to the technical scheme, the extracted image characteristic data can be encrypted, decryption information is loaded into one or more image data, the encrypted characteristic data can be decrypted conveniently in the later period, and the encryption information and the decryption information are respectively and independently stored, and meanwhile, the encryption and decryption processes are carried out in different processing units, so that physical isolation and logical isolation are realized, direct correlation between the characteristic data and the image data is avoided, and the safety of the data is improved.
Further, the first processing unit and the second processing unit adopt mutually independent processing chips to process data;
the first storage module and the second storage module adopt mutually independent storage chips for data storage; and is also provided with
A safety chip for logic isolation is arranged between the at least one memory chip and the processing chip corresponding to the second processing unit.
Through the technical scheme, direct data interaction between the first processing unit and the second processing unit is blocked, and meanwhile, the data are independently stored in different storage modules, so that the safety of data processing and storage can be improved.
Further, the first processing unit is further configured with:
the data classification module is configured to be in data connection with the image acquisition unit, and a plurality of feature categories are formed and stored according to a plurality of set feature quantities;
and the class marking module is in data connection with the data classification module and the encryption module, receives the first image data, judges the characteristic class of the first image data based on the intrinsic characteristic quantity, marks the characteristic class in the second image data and the second characteristic data and outputs the characteristic class.
According to the technical scheme, the classification marking can be carried out on each image data according to the set feature quantity of the image data, so that the corresponding image data can be conveniently called in a group mode to obtain complete and accurate decryption information, the situation that the image data carrying the decryption information is directly associated with the feature data to be decrypted is avoided, even if the image data carrying the decryption information is lost but an algorithm for extracting the decryption information is lacking, the feature data cannot be decrypted, and the safety of the data is improved.
Further, the second processing unit includes:
the decryption module is configured to be in data connection with the first storage module and the second storage module, acquire second characteristic data and second image data, acquire key data from one or more pieces of second image data, decrypt the second characteristic data, output first characteristic data and restore the second image data into first image data;
and the comparison output module is in data connection with the decryption module, acquires decrypted first characteristic data and restored first image data, and outputs the first image data corresponding to the first characteristic data after comparison.
According to the technical scheme, the second processing unit firstly acquires the corresponding secret key from the second image data, then decrypts the encrypted characteristic information, simultaneously restores the second image data to the original image data without decryption information, finally identifies and retrieves the corresponding image data according to the decrypted characteristic data, no matter what data is lost in the process, the large-scale disclosure of the data is not caused, and the safety of the data is improved.
Further, the decryption module includes:
the category extraction module is configured to be in data connection with the first storage module, acquire second characteristic data, identify the corresponding characteristic category of the second characteristic data and output the second characteristic data;
the association calling module is configured to be in data connection with the first decryption module and the second storage module, acquires the characteristic category, recognizes and calls second image data corresponding to the characteristic category from the second storage module and outputs the second image data;
the decryption acquisition module is configured to acquire or form key information data from one or more second image data acquired by the identification, decrypt the second feature data based on the key information data and output first feature data;
and the data recovery module is configured to be in data connection with the decryption acquisition module and used for recovering the second image data acquired by the identification into the first image data and outputting the first image data.
Through the technical scheme, the decryption of the characteristic data needs to call one type of image data so as to acquire related decryption information, and meanwhile, the second processing unit is logically isolated from the storage module, so that even if the data in the storage module is lost, the original characteristic data or the image data cannot be leaked, and the safety of the data is improved.
An image data acquisition and processing method applied to NVR, comprising the following steps:
acquiring image data and preprocessing the image data to generate first image data, and extracting and outputting first characteristic data from the image data;
encrypting the first characteristic data based on a set encryption algorithm to generate second characteristic data, and loading corresponding decryption information into at least one group of first image data to generate second image data, and independently storing the second characteristic data and the second image data;
the second characteristic data and the second image data are called, decryption information is obtained from the second image data, and the second characteristic data are decrypted to obtain first characteristic data;
and identifying and matching according to the first characteristic data obtained through decryption to obtain corresponding first image data.
By the technical scheme, the characteristic data and the image data are respectively and independently stored, encryption and decryption operations of the data are not directly completed by the same processing unit, so that logical isolation and physical isolation of the data are realized, and the safety of data processing is improved.
Further, the method further comprises:
selecting a plurality of set feature quantities according to image data, forming a plurality of feature categories based on the set feature quantities, and storing the feature categories;
identifying set feature quantities in each image data and generating feature categories corresponding to the image data;
loading the feature class data into second feature data and second image data;
the retrieving the second feature data and the second image data includes:
invoking the second feature data and extracting the contained feature class data;
and searching and outputting second image data with the characteristic category based on the characteristic category data.
Further, the first characteristic data is encrypted by adopting an asymmetric encryption algorithm, decryption information corresponding to the encryption information is split into a plurality of decryption data by a set algorithm and is respectively loaded into a plurality of first image data with the same characteristic category;
the obtaining decryption information from the second image data to decrypt the second feature data includes:
identifying and retrieving a plurality of second image data having the feature class data;
obtaining decryption data from a plurality of second image data and combining the decryption data to obtain decryption information;
and decrypting the second characteristic data by using the combined decryption information.
By the technical scheme, the encrypted data can be stored in the plurality of image data in a classified manner, and the corresponding data group is required to be called for decryption in the later decryption, so that even if partial data are leaked, the whole data cannot be leaked, and the safety of the data is improved.
Compared with the prior art, the application has the following beneficial effects:
(1) The encryption and decryption steps of the data are implemented separately by arranging the independent front-end processing unit and the independent rear-end processing unit, so that the safety of the data is ensured, meanwhile, the characteristic data and the image data are respectively and independently stored, the logic and physical isolation is realized on the aspects of data calling, storage and processing, and the safety of the data is ensured;
(2) By independently storing the encrypted data and the decrypted data in segments, even if the characteristic data is leaked, the corresponding image data cannot be lost, and the data safety is improved.
Drawings
FIG. 1 is a schematic diagram of the connection of unit modules in the system of the present application;
FIG. 2 is a schematic diagram of the connection of unit modules in the system of the present application (II);
FIG. 3 is a schematic representation of the process of the present application.
Reference numerals: 100. an image acquisition unit; 200. a first processing unit; 210. an image preprocessing module; 220. a feature extraction module; 230. an encryption module; 240. a data classification module; 250. a category marking module; 300. a data storage unit; 310. a first storage module; 320. a second storage module; 400. a second processing unit; 410. a decryption module; 420. a contrast output module; 430. a category extraction module; 440. an associated calling module; 450. a decryption acquisition module; 460. and a data recovery module.
Detailed Description
The present application will be described in further detail with reference to examples and drawings, but the embodiments of the present application are not limited thereto.
An image data acquisition processing system applied to NVR, as shown in FIG. 1, mainly comprises an image acquisition unit 100, a first processing unit 200, a data storage unit 300 and a second processing unit 400.
The image acquisition unit 100 is configured to be in data connection with an image pickup apparatus, acquire and output first image data. In practical applications, the image capturing device includes a network camera and a corresponding video encoder, and the image capturing unit 100 is correspondingly configured as a network interface module, and is configured to receive the first image data, i.e. the digitized video image data.
The first processing unit 200 is built in the NVR, and may be configured as a separate data processing chip, such as a programmable DSP chip, or directly employ a codec processor chip built in the NVR device, such as the chips of haisi 3515A, 3520D, and the like. The first processing unit 200 is configured to be in data connection with the image acquisition unit 100, obtain first image data, perform image preprocessing on the first image data, extract first feature data, and output encrypted second feature data and second image data loaded with key data after processing based on a set encryption algorithm. The image preprocessing includes, but is not limited to, encoding and compressing the image for network transmission and storage, and gray processing the image for feature data extraction.
In practical applications, the first processing unit 200 mainly includes an image preprocessing module 210, a feature extraction module 220, and an encryption module 230.
The image preprocessing module 210 is configured to be in data connection with the image capturing device, and is further configured to perform data format conversion on the obtained first image data to facilitate extraction of feature data, such as a Canny operator, in addition to encoding and compressing the first image data to facilitate data transmission and storage, and then perform a Roberts operator operation on the smoothed image. The feature extraction module 220 is configured to be in data connection with the image preprocessing module 210, obtain the first image data after format conversion and extract image feature information therefrom, and generate and output first feature data, such as feature data for characterizing the outline data of the image, and the like. The encryption module 230 is built with an asymmetric encryption algorithm, or the whole encryption module 230 is implemented by an independent encryption chip, receives the first image data and the first feature data, encrypts the first feature data by a public key to generate second feature data, and processes the first image data by a private key corresponding to the public key to generate second image data. According to the technical scheme, the extracted characteristic data can be encrypted, decryption information is loaded into one or more image data, the encrypted characteristic data can be decrypted in the later period conveniently, the encryption information and the decryption information and private key data are respectively and independently stored, and the later period encryption and decryption processes are carried out in different processing units, so that physical isolation and logical isolation are realized, direct association between the characteristic data and the image data is avoided, and the safety of the data is improved.
In order to reduce the difficulty of acquiring the post-decryption information, the first processing unit 200 is further configured with a data classification module 240 and a class marking module 250.
The data classifying module 240 is configured to be in data connection with the image capturing unit 100, and to compose a plurality of feature classes according to a plurality of set feature amounts and store the feature classes, for example, to compose different feature classes according to a plurality of color features of an image, so as to distinguish different image data. In practical applications, a single feature class contains multiple image data. The class marking module 250 is in data connection with the data classifying module 240 and the encrypting module 230, receives the first image data, determines the feature class of the first image data based on the intrinsic feature quantity, marks the feature class of the second image data and the second feature data, and outputs the feature class, and it should be noted that there are a plurality of second image data having the same feature class in the system.
According to the technical scheme, the classification marking can be carried out on each image data according to the set characteristic quantity of the image data, so that the corresponding image data can be conveniently called in a group mode to obtain complete and accurate decryption information, the situation that the image data carrying the decryption information is directly associated with the characteristic data to be decrypted is avoided, even if the image data carrying the decryption information is lost but an algorithm for extracting the decryption information is lacking, the characteristic data cannot be decrypted, and the safety of the data is improved.
The data storage unit 300 includes a first storage module 310 and a second storage module 320, which are connected to the data output interface of the first processing unit 200, and are respectively configured to receive and store the second feature data and the second image data, that is, the encrypted feature data and the image data loaded with the decryption information.
In order to improve the security of data, as shown in fig. 1, the first memory module 310 and the second memory module 320 use mutually independent memory chips to store data and perform writing and reading operations independently.
As shown in fig. 1, the second processing unit 400 is configured to retrieve the second feature data and the second image data, acquire key data from one or more pieces of the second image data, decrypt the second feature data, recover corresponding first image data from the second image data, and obtain and output corresponding first image data from the recovered first image data based on matching of the decrypted first feature data.
In the embodiment of the present application, the first processing unit 200 and the second processing unit 400 perform data processing by adopting mutually independent processing chips, and a security chip for performing logic isolation is disposed between at least one memory chip and the processing chip corresponding to the second processing unit 400, so as to block direct data interaction between the first processing unit 200 and the second processing unit 400, and the data are independently stored in different memory modules in combination, so that the security of data processing and storage can be improved.
The second processing unit 400 mainly includes a decryption module 410 and a comparison output module 420. The decryption module 410 is configured for data connection with the first storage module 310 and the second storage module 320. When related image data is required to be inquired, second characteristic data and second image data are acquired, key data are acquired from one or more pieces of second image data to decrypt the second characteristic data, first characteristic data are output, and the second image data are restored to the first image data. When the key data is acquired from the plurality of pieces of second image data, the plurality of pieces of key information data, that is, decryption data, need to be combined according to a set rule to obtain decryption information. And restoring the second image data to the first image data, namely stripping the encrypted data loaded in the first image data from the image data to obtain the initial image data. The comparison output module 420 is in data connection with the decryption module 410, acquires decrypted first feature data and restored first image data, and outputs first image data corresponding to the first feature data after comparison.
In the above technical solution, the second processing unit 400 first obtains the corresponding key from the second image data, then decrypts the encrypted feature information, and simultaneously restores the second image data to the original image data without the decrypted information, and finally identifies and retrieves the corresponding image data according to the decrypted feature data, so that no matter what data is lost in the process, the data is not leaked in a large range, and the security of the data is improved.
Based on the above system function configuration, as shown in fig. 2 in detail, the decryption module 410 includes a category extraction module 430, an association retrieval module 440, a decryption acquisition module 450, and a data recovery module 460. The category extraction module 430 is configured to be in data connection with the first storage module 310, obtain the second feature data, identify the feature category loaded therein, and output. The association retrieving module 440 is configured to be in data connection with the first decryption module 410 and the second storage module 320, and obtain the feature class, and identify and retrieve, from the second storage module 320, the second image data corresponding to the feature class, and output, where the number of the second image data is preferably a plurality. The decryption obtaining module 450 is configured to obtain or compose key information data from the one or more second image data retrieved by the identification, decrypt the second feature data based on the key information data, and output the first feature data. The data recovery module 460 is configured to be in data connection with the decryption obtaining module 450, and is configured to strip the decrypted data in the second image data that is identified and invoked, recover the decrypted data into the first image data, and output the first image data. In the above technical solution, decryption of the feature data needs to call one type of image data to obtain related decryption information, and meanwhile, the second processing unit 400 is logically isolated from the storage module, so that even if the data in the storage module is lost, the original feature data or the image data cannot be leaked, thereby improving the security of the data.
The beneficial effects of the embodiment of the application are that the image data collected by the image shooting device and the characteristic data are independently stored and called, so that physical isolation is realized, and the possibility that the image characteristic and the image data are stolen at the same time is reduced; meanwhile, two independent data processing units are provided to realize logical isolation and physical isolation of data processing, the first processing unit 200 is configured to perform encryption processing on data, the second processing unit 400 is configured to perform decryption processing on data, key information data aiming at single encrypted characteristic data is loaded into a plurality of image data, and in the decryption process, certain associated image data cannot be directly referenced, but a mode of fuzzy retrieval is adopted in a group unit, even if the image data and the characteristic data are stolen at the same time, if a corresponding decryption algorithm is lacked, the original image data is still difficult to recover based on the characteristic data, and the security of the image data is ensured.
Based on the image data acquisition and processing system applied to the NVR, the embodiment of the application also discloses an image data acquisition and processing method applied to the NVR, which mainly comprises the following steps as shown in fig. 3:
s100, acquiring image data, preprocessing the image data to generate first image data, and extracting and outputting first characteristic data from the image data;
s200, encrypting the first characteristic data based on a set encryption algorithm to generate second characteristic data, and loading corresponding decryption information into at least one group of first image data to generate second image data, and independently storing the second characteristic data and the second image data;
s300, second characteristic data and second image data are called, decryption information is obtained from the second image data, and the second characteristic data are decrypted to obtain first characteristic data;
s400, identifying and matching according to the first characteristic data obtained through decryption to obtain corresponding first image data.
In the step S100, the image preprocessing includes, but is not limited to, encoding and compressing the image for network transmission and storage, or extracting features of the image to obtain the feature data corresponding to the image data.
In step S200, in order to improve the security of the data, the decryption information corresponding to the feature data is loaded into the plurality of image data, and in order to increase the speed of identifying and retrieving the later image data, in the embodiment of the present application, the image data is retrieved in units of groups, so that a fuzzy association relationship between the encrypted feature data and the image data to be retrieved needs to be established. The method of the application also comprises the following steps:
s210, selecting a plurality of set feature quantities according to the image data, forming a plurality of feature categories based on the plurality of set feature quantities, and storing the feature categories, wherein the feature categories can be defined as a section of character string with identification significance.
S220, identifying the set feature quantity in each image data, comparing the set feature quantity with the set feature quantity corresponding to each stored feature type, and generating the feature type corresponding to the image data. It should be noted that the above-described feature categories for image data are not in one-to-one correspondence, and one feature category preferably associates a plurality of image data.
And S230, loading the feature type data corresponding to the image data into the second feature data and the second image data.
Based on the above steps, in step S300, retrieving the second feature data and the second image data includes:
s310, calling the second characteristic data and extracting the contained characteristic category data;
s311, searching and outputting second image data with the characteristic category based on the characteristic category data.
In a specific embodiment, the first characteristic data is encrypted by adopting an asymmetric encryption algorithm, and decryption information corresponding to the encryption information is split into a plurality of decryption data by a set algorithm and is respectively loaded into a plurality of first image data with the same characteristic category;
based on the above specific embodiment, in step S300, obtaining decryption information from the second image data to decrypt the second feature data includes:
s320, identifying and calling a plurality of second image data with the characteristic category data;
s321, obtaining decryption data from a plurality of second image data and combining the decryption data to obtain decryption information;
s322, decrypting the second characteristic data by using the combined decryption information.
According to the technical scheme, the encrypted data can be stored in the plurality of image data in a classified mode, the corresponding data group is required to be called for decryption in the later decryption step, so that even if partial data are leaked, the whole data cannot be leaked, and the safety of the data is improved.
The above description is only a preferred embodiment of the present application, and the protection scope of the present application is not limited to the above examples, and all technical solutions belonging to the concept of the present application belong to the protection scope of the present application. It should be noted that modifications and adaptations to the present application may occur to one skilled in the art without departing from the principles of the present application and are intended to be within the scope of the present application.
Claims (9)
1. An image data acquisition processing system applied to NVR, comprising:
an image acquisition unit (100) configured to be in data connection with an image pickup device, acquire and output first image data;
the first processing unit (200) is configured to be in data connection with the image acquisition unit (100), acquire the first image data, perform image preprocessing on the first image data, extract first characteristic data, and output encrypted second characteristic data and second image data loaded with key data after processing based on a set encryption algorithm;
the data storage unit (300) comprises a first storage module (310) and a second storage module (320), is in data connection with the first processing unit (200) and is used for receiving and storing the second characteristic data and the second image data respectively;
and the second processing unit (400) is configured to call the second characteristic data and the second image data, acquire key data from one or more pieces of the second image data, decrypt the second characteristic data, restore corresponding first image data from the second image data, and acquire and output corresponding first image data from the restored first image data based on the decrypted first characteristic data.
2. The image data acquisition processing system applied to NVR according to claim 1, characterized in that the first processing unit (200) includes:
an image preprocessing module (210) configured to be in data connection with the image capture device, acquire first image data and perform data format conversion so as to facilitate extraction and data storage of feature data;
the feature extraction module (220) is configured to be in data connection with the image preprocessing module (210), acquire first image data after format conversion, extract image feature information from the first image data, and generate and output first feature data;
and the encryption module (230) is internally provided with an asymmetric encryption algorithm, receives the first image data and the first characteristic data, encrypts the first characteristic data through a public key to generate the second characteristic data, and processes the first image data through a private key corresponding to the public key to generate the second image data.
3. The image data collection processing system applied to NVR according to claim 1, characterized in that,
the first processing unit (200) and the second processing unit (400) adopt mutually independent processing chips to process data;
the first storage module (310) and the second storage module (320) adopt mutually independent storage chips for data storage; and is also provided with
A security chip for performing logic isolation is arranged between the at least one memory chip and the processing chip corresponding to the second processing unit (400).
4. The image data acquisition processing system applied to NVR according to claim 1, characterized in that the first processing unit (200) is further configured with:
the data classification module (240) is configured to be in data connection with the image acquisition unit (100), and form a plurality of feature categories according to a plurality of set feature quantities and store the feature categories;
and the category marking module (250) is in data connection with the data classification module (240) and the encryption module (230), receives the first image data, judges the characteristic category of the first image data based on the intrinsic characteristic quantity, marks the characteristic category in the second image data and the second characteristic data and outputs the characteristic category.
5. The image data collection processing system applied to NVR of claim 4, characterized in that the second processing unit (400) includes:
the decryption module (410) is configured to be in data connection with the first storage module (310) and the second storage module (320), acquire second characteristic data and second image data, acquire key data from one or more pieces of the second image data, decrypt the second characteristic data, output first characteristic data, and restore the second image data to first image data;
and the comparison output module (420) is in data connection with the decryption module (410) and is used for obtaining decrypted first characteristic data and restored first image data and outputting the first image data corresponding to the first characteristic data after comparison.
6. The image data acquisition processing system applied to NVR of claim 5, characterized in that the decryption module (410) includes:
the category extraction module (430) is configured to be in data connection with the first storage module (310), acquire second characteristic data, identify a corresponding characteristic category thereof and output the second characteristic data;
an association retrieving module (440) configured to be in data connection with the first decryption module (410) and the second storage module (320), obtain the feature class, and identify and retrieve second image data corresponding to the feature class from the second storage module (320) and output the second image data;
a decryption obtaining module (450) configured to obtain or compose key information data from the one or more second image data retrieved by the identification, decrypt the second feature data based on the key information data, and output first feature data;
and the data recovery module (460) is in data connection with the decryption acquisition module (450) and is used for recovering the second image data acquired by the identification into the first image data and outputting the first image data.
7. An image data acquisition and processing method applied to NVR, comprising:
acquiring image data and preprocessing the image data to generate first image data, and extracting and outputting first characteristic data from the image data;
encrypting the first characteristic data based on a set encryption algorithm to generate second characteristic data, and loading corresponding decryption information into at least one group of first image data to generate second image data, and independently storing the second characteristic data and the second image data;
the second characteristic data and the second image data are called, decryption information is obtained from the second image data, and the second characteristic data are decrypted to obtain first characteristic data;
and identifying and matching according to the first characteristic data obtained through decryption to obtain corresponding first image data.
8. The image data collection processing method applied to NVR according to claim 7, further comprising:
selecting a plurality of set feature quantities according to image data, forming a plurality of feature categories based on the set feature quantities, and storing the feature categories;
identifying set feature quantities in each image data and generating feature categories corresponding to the image data;
loading the feature class data into second feature data and second image data;
the retrieving the second feature data and the second image data includes:
invoking the second feature data and extracting the contained feature class data;
and searching and outputting second image data with the characteristic category based on the characteristic category data.
9. The image data collection processing method applied to NVR according to claim 8, characterized in that,
the first characteristic data is encrypted by adopting an asymmetric encryption algorithm, decryption information corresponding to the encryption information is split into a plurality of decryption data by a set algorithm and is respectively loaded into a plurality of first image data with the same characteristic category;
the obtaining decryption information from the second image data to decrypt the second feature data includes:
identifying and retrieving a plurality of second image data having the feature class data;
obtaining decryption data from a plurality of second image data and combining the decryption data to obtain decryption information;
and decrypting the second characteristic data by using the combined decryption information.
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