CN117708364A - Security check data association method, device, equipment, storage medium and system - Google Patents

Security check data association method, device, equipment, storage medium and system Download PDF

Info

Publication number
CN117708364A
CN117708364A CN202311829360.8A CN202311829360A CN117708364A CN 117708364 A CN117708364 A CN 117708364A CN 202311829360 A CN202311829360 A CN 202311829360A CN 117708364 A CN117708364 A CN 117708364A
Authority
CN
China
Prior art keywords
target
record
snapshot
image
initial
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202311829360.8A
Other languages
Chinese (zh)
Inventor
陈锋耀
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hangzhou Hikvision Digital Technology Co Ltd
Original Assignee
Hangzhou Hikvision Digital Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hangzhou Hikvision Digital Technology Co Ltd filed Critical Hangzhou Hikvision Digital Technology Co Ltd
Priority to CN202311829360.8A priority Critical patent/CN117708364A/en
Publication of CN117708364A publication Critical patent/CN117708364A/en
Pending legal-status Critical Current

Links

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Landscapes

  • Alarm Systems (AREA)

Abstract

The application provides a security check data association method, a device, equipment, a storage medium and a system, and relates to the field of security check, wherein the method comprises the following steps: acquiring an initial image set; the initial image set comprises a plurality of initial images, and each initial image comprises a package and at least one passer; acquiring a first snapshot image of a target passing person at a security gate; according to the first snapshot image, determining one or more target images corresponding to the target passers from the initial image set; the target image is an initial image of target traffic personnel in a plurality of initial images; acquiring a second snapshot image of a target passing person at a preset position point; one or more target images and the second snap shot image are integrated into one record for storage. The method is used for solving the problem of 'one package for multiple people' in the security inspection process.

Description

Security check data association method, device, equipment, storage medium and system
Technical Field
The present disclosure relates to the field of security inspection, and in particular, to a security inspection data association method, device, apparatus, storage medium, and system.
Background
In public facilities such as airports, subway stations, railway stations, and large venues, a security check machine is generally used to scan and check packages (or baggage) carried by passers-by.
At present, with the development of security inspection technology, a technology of associating passers-by and packages through image recognition to achieve the purpose of locating the packages to specific passers-by is presented. For example, an image may be captured by a camera provided at the security inspection machine, and a correspondence relationship between the package and the passer may be determined from the captured image, thereby realizing association between the passer and the package by image recognition.
However, in the case of large passenger flow, the image captured by the camera at the security inspection machine may include one package and a plurality of passers-by at the same time, that is, a phenomenon of "one package for multiple persons", and it is difficult to determine the passers-by carrying the package.
Disclosure of Invention
Based on the above, the application provides a security check data association method, a device, equipment, a storage medium and a system, wherein the images of a plurality of persons can be associated through images captured at preset position points.
In a first aspect, the present application provides a security check data association method, including: acquiring an initial image set; the initial image set comprises a plurality of initial images, each initial image comprises a package and at least one passer, the initial images are acquired by a first camera when the package is detected to be placed on a conveyor belt of the security inspection machine, and the first camera is arranged at the security inspection machine; acquiring a first snapshot image of a target passing person at a security gate; according to the first snapshot image, determining one or more target images corresponding to the target passers from the initial image set; the target image is an initial image of target traffic personnel in a plurality of initial images; acquiring a second snapshot image of a target passing person at a preset position point; one or more target images and the second snap shot image are integrated into one record for storage.
Optionally, after acquiring the initial image set, the method further comprises: taking each initial image in the plurality of initial images as a first record, obtaining a plurality of first records and storing the first records; according to the first snap shot image, determining one or more target images corresponding to the target passers from the initial image set, wherein the method comprises the following steps: selecting one or more initial records comprising the target traffic personnel from the plurality of first records; the method further comprises the steps of: integrating the first snap shot image and one or more initial records into a second record for storage; integrating one or more target images and the second snap shot image into a record store comprising: and integrating the second record and the second snap image into a candidate record for storage.
Optionally, selecting one or more initial records including the target traffic person from the plurality of first records, including: acquiring a snapshot time of a first snapshot image; screening first records in a first preset time period before the snapshot time from a plurality of first records; selecting one or more initial records comprising the target passing personnel from the first records in a first preset time period before the snapshot time; obtaining a second snapshot image of the target passing person at a preset position point comprises the following steps: acquiring a second snapshot image of the target passing person at a preset position point within a second preset time period after the snapshot time; the sum of the first preset time length and the second preset time length is smaller than a preset time length threshold;
And/or the number of the groups of groups,
the method further comprises the steps of: acquiring a history detection record of a target passing person; the history detection record comprises a first-level sub-record corresponding to each of a plurality of snapshot dates; each primary sub-record comprises a plurality of secondary sub-records corresponding to the snapshot time periods; acquiring a target snapshot date of a first snapshot image; determining whether a target primary sub-record corresponding to the target snapshot date is included in the history detection record according to the target snapshot date; under the condition that the history detection record comprises a target first-level sub-record, acquiring a target snapshot time of the first snapshot image; determining whether a target primary sub-record comprises a target secondary sub-record corresponding to a snapshot period in which the target snapshot time is located according to the target snapshot time; under the condition that the target primary sub-record comprises the target secondary sub-record, the candidate record is used as a primary riding record of a target passer and is stored into the target secondary sub-record; under the condition that the target primary sub-record does not comprise the target secondary sub-record, newly building a secondary sub-record corresponding to a snapshot period where the target snapshot time is located in the target primary sub-record, and storing the candidate record as a primary riding record of a target passer into the newly built secondary sub-record; under the condition that the history detection record does not comprise the first-level sub-record of the target, a first-level sub-record corresponding to the target snapshot date is newly built in the history detection record, and the target snapshot time of the first snapshot image is obtained; and newly building a secondary sub-record corresponding to the snapshot time period of the target snapshot time in the newly built primary sub-record, and storing the candidate record as a primary riding record of the target passer into the newly built secondary sub-record.
Optionally, the method further comprises: acquiring a first corresponding relation; the first correspondence is used for representing the correspondence between the package characteristics and a plurality of storage addresses of the first records in the storage device; screening a second corresponding relation from the first corresponding relation; the second correspondence is a correspondence between the package feature and one or more storage addresses initially recorded in the storage device; acquiring package characteristics of the target package in the second snapshot image under the condition that the second snapshot image comprises the target package; the target package is a package carried by a target passer; taking the parcel characteristics of the target parcel as an index, traversing and searching an initial record corresponding to the storage address in the second corresponding relation; if the second corresponding relation has the parcel characteristics with the parcel characteristics of which the parcel similarity is greater than the similarity threshold value, calling the initial target record and the second snap shot image from the storage device according to the storage address corresponding to the parcel characteristics to integrate the initial target record and the second snap shot image into an item mark record for storage; or under the condition that the target passer is in an un-carried state in the second snapshot image, integrating one or more initial records, the first snapshot image and the second snapshot image into one reference record for storage.
Optionally, the method further comprises: displaying a comparison interface; the contrast interface comprises a first snapshot image, a second snapshot image and one or more target images corresponding to the target passers; receiving the selection operation of a user on any human body area in one or more target images in a comparison interface; and in response to the selection operation, integrating the first snap shot image, the second snap shot image and the image selected by the selection operation into an item mark record for storage.
According to the security inspection data association method, the initial image comprising the target passers-by can be determined from the initial image set of the 'one-pack-of-multiple-person' possibly occurring according to the first snapshot image of the target passers-by at the security inspection door, then the second snapshot image of the target passers-by in the pack carrying state at the preset position point after passing through the security inspection door is detected, one or more target images and the second snapshot image are integrated into one record for storage, and therefore workers can accurately screen passers-by carrying packages in the 'one-pack-of-multiple-person' phenomenon according to the stored record.
In a second aspect, the present application provides a security check data association device, which comprises respective functional modules for the method described in the first aspect above.
In a third aspect, the present application provides an electronic device comprising a processor and a memory; the memory stores instructions executable by the processor; the processor is configured to execute the instructions to cause the electronic device to implement the method of the first aspect described above.
In a fourth aspect, the present application provides a computer program product for, when run in an electronic device, causing the electronic device to perform the steps of the related method of the first aspect described above, to implement the method of the first aspect described above.
In a fifth aspect, the present application provides a readable storage medium comprising: a software instruction; the software instructions, when executed in an electronic device, cause the electronic device to implement the method according to the first aspect described above.
In a sixth aspect, the present application provides a security data association system, the system comprising: the security inspection device comprises a first camera arranged on a security inspection machine, a second camera arranged on a security inspection door, a third camera arranged at a preset position point and a correlation device; the first camera is used for acquiring initial images when detecting that the package is placed on a conveyor belt of the security inspection machine, and obtaining an initial image set comprising a plurality of initial images; each initial image includes a package, and at least one passer-by; the second camera is used for acquiring a first snap-shot image of the target passer at the security gate; the association device is used for determining one or more target images corresponding to the target passing personnel from the initial image set according to the first snapshot image; the target image is an initial image of target traffic personnel in a plurality of initial images; the third camera is used for acquiring a second snap-shot image of the target passing person at a preset position point; and the association device is also used for integrating one or more target images and the second snap shot image into one record for storage.
The advantageous effects of the second aspect to the sixth aspect described above may be described with reference to the first aspect, and will not be repeated.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of a composition of a security inspection data association system provided in an embodiment of the present application;
fig. 2 is a flow chart of a security check data association method provided in an embodiment of the present application;
fig. 3 is another flow chart of a security check data association method provided in an embodiment of the present application;
fig. 4 is a schematic flow chart of a security check data association method according to an embodiment of the present application;
fig. 5 is a schematic flow chart of a security check data association method according to an embodiment of the present application;
fig. 6 is a schematic flow chart of a security check data association method according to an embodiment of the present application;
fig. 7 is a flowchart of security check data association provided in an embodiment of the present application;
Fig. 8 is a schematic diagram of a composition of a security inspection data association device provided in an embodiment of the present application;
fig. 9 is a schematic diagram of the composition of an electronic device according to an embodiment of the present application.
Detailed Description
Hereinafter, the terms "first," "second," and "third," etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first", "a second", or "a third", etc., may explicitly or implicitly include one or more such feature.
The security inspection machine refers to an electronic device for conveying luggage to be inspected into an X-ray detection channel for detection by means of a conveyor belt.
The conveyor belt can be driven by a speed reducing mechanism driven by a driving motor, and is used for conveying the packages placed on the conveyor belt into the X-ray detection channel.
The X-ray detection channel may include an X-ray emission source, a collimator, a detector, etc. The X-ray emission source can be used for emitting X-rays, the X-rays form a very thin fan-shaped X-ray beam through the collimator, the fan-shaped X-ray beam passes through the conveyor belt layer by layer to be conveyed into the package and then reaches the detector, and the detector can convert the received optical signals of each layer of X-rays into electric signals. After the multi-layer X-ray converted electrical signals are processed by the image processing software, the profile, composition, material properties, etc. of the articles within the package conveyed by the conveyor belt can be displayed by the display device.
Security check machines are widely used in public facilities such as airports, subway stations, railway stations, and large venues to scan and check packages (or baggage) carried by passers-by.
At present, with the development of security inspection technology, a technology of associating passers-by and packages through image recognition to achieve the purpose of locating the packages to specific passers-by is presented. For example, an image may be captured by a camera provided at the security inspection machine, and a correspondence relationship between the package and the passer may be determined from the captured image, thereby realizing association between the passer and the package by image recognition.
However, in the case of large passenger flow, the image captured by the camera at the security inspection machine may include one package and a plurality of passers-by at the same time, that is, a phenomenon of "one package for multiple persons", and it is difficult to determine the passers-by carrying the package.
Based on the above, the embodiment of the application provides a security check data association method, a device, equipment, a storage medium and a system, which can associate images of one package with multiple persons through images captured at a ticket gate, and accurately position the carrying passers of the package.
The following description is made with reference to the accompanying drawings.
Fig. 1 is a schematic diagram of a composition of a security inspection data association system provided in an embodiment of the present application. As shown in fig. 1, the system may include: the first camera 100, the second camera 200, the third camera 300, and the association apparatus 400. The first camera 100, the second camera 200, the third camera 300, and the associated apparatus 400 may be connected to each other through a wired network or a wireless network.
The first camera 100 may be a multi-camera provided at the security check machine. Such as a binocular camera or a trinocular camera, etc. The embodiment of the present application does not limit the specific kind of the first camera 100.
The first camera 100 may be used to acquire an initial image upon detecting that a passer-by places a package on the conveyor belt of the security check machine, resulting in an initial image set comprising a plurality of initial images. Each initial image includes a package and at least one passer-by.
In some embodiments, the first camera 100 may also be used to send the initial image in the set of acquired initial images to the association device 400.
As described above, the first camera 100, the second camera 200, the third camera 300, and the association apparatus 400 may be connected by a wired network or a wireless network. The wired or wireless network may include one or more media or devices capable of transmitting the initial image from the first camera 100 to the associated apparatus 400.
In some embodiments, the wired or wireless network may include one or more communication media that enable the first camera 100 to send the captured initial image directly to the associated device 400 in real-time. In this embodiment, the first camera 100 may modulate the initial image according to a communication standard (e.g., a wireless communication protocol) and transmit the modulated initial image to the association apparatus 400. The one or more communication media may include wireless and/or wired communication media such as a Radio Frequency (RF) spectrum or one or more physical transmission lines. Alternatively, the one or more communication media may form part of a packet-based network, which may be, for example, a local area network, a wide area network, or a global network (e.g., the Internet). Optionally, the one or more communication media may also include a router, switch, base station, or other device that facilitates communication of the first camera 100 to the associated apparatus 400.
The second camera 200 may be a camera provided at a security gate. For example, the camera may be a fixed camera or a pan-tilt camera (also referred to as a dome camera), or the like. The embodiment of the present application does not limit the specific form of the second camera 200.
The security inspection door is usually matched with a security inspection machine. The security inspection door is a detection device for detecting whether a passer-by carries metal objects, and is also called a metal detection door (metal detection door).
The second camera 200 may be used to acquire (or otherwise collect or photograph, etc.) a snap shot image of a passer-by at the security gate.
In some embodiments, the second camera 200 may also send the captured snap images to the association device 400. The specific transmission process may be described with reference to the above-mentioned first camera 100 where the initial image is transmitted to the association apparatus 400, which is not described herein.
The third camera 300 may be a camera disposed at a preset position point. The specific form may be described with reference to the second camera 200, and will not be described herein.
In the case where tickets (e.g., electronic certificates, paper tickets, and identity cards) are required to verify the right of passage in public facilities such as airports, subway stations, railway stations, and large venues, the preset position point can be also understood as a ticket gate.
It can be understood that in the scenario that a ticket is required to verify the passing authority, a passing person mainly needs to go through a security check process and a ticket check process when entering the public facility. The security process is typically implemented by a security machine and a security gate. The ticket checking process is usually implemented through a ticket gate. Therefore, the steps required when the passers-by enters the public facility are as follows: firstly, placing the package on a security inspection machine, then carrying the package on the belt through the security inspection machine by a security inspection door, completing security inspection, then checking a ticket by a ticket checking port, and finally entering public facilities.
Alternatively, for a scenario where no ticket is required to verify the right of way, the preset location point may be understood as a preset location point after the security gate.
The third camera 300 may be used to acquire (or acquire or photograph, etc.) a snap shot image of a passer-by at a preset location point after passing through the security gate.
In some embodiments, the third camera 300 may also be used to send the acquired snap shots to the association device 400. The specific transmission process may also be described with reference to the above-mentioned first camera 100 transmitting the initial image to the association apparatus 400, which is not described herein.
The association apparatus 400 may be an electronic device having a calculation processing function, such as a computer or a server.
The server may be a single server, or may be a server cluster formed by a plurality of servers. In some implementations, the server cluster may also be a distributed cluster. Optionally, the server may also be implemented on a cloud platform, which may include, for example, a private cloud, public cloud, hybrid cloud, community cloud (community cloud), distributed cloud, inter-cloud (inter-cloud), multi-cloud (multi-cloud), and the like, or any combination thereof. The embodiments of the present application are not limited in this regard.
The associating means 400 may be used for associating storage based on the initial image acquired by the first camera 100, the snap shot image acquired by the second camera 200, and the snap shot image acquired by the third camera 300. The specific process may be described in the following security check data association method, and will not be described herein.
The execution subject of the security inspection data association method provided in the embodiment of the present application is the association device 400 described above. As described above, the association apparatus 400 may be an electronic device having a calculation processing function, such as a computer or a server. Alternatively, the association apparatus 400 may be an Application (APP) installed in the aforementioned electronic device; alternatively, the association apparatus 400 may also be a processor (e.g., a central processing unit (central processing unit, CPU)) in the aforementioned electronic device; still alternatively, the association apparatus 400 may be a software system or platform deployed in the foregoing electronic device (for example, the platform may be a comprehensive security software platform for comprehensively managing the security data of the public facility); alternatively, the association apparatus 400 may be a functional module or the like for executing the security data association method in the electronic device. The embodiments of the present application are not limited in this regard.
For simplicity of description, the following description will take the above-mentioned association device 400 as an example of an integrated security software platform.
Fig. 2 is a flow chart of a security check data association method provided in an embodiment of the present application. As shown in fig. 2, the method includes S101 to S105.
S101, acquiring an initial image set by the comprehensive security software platform.
The initial image set comprises a plurality of initial images, each initial image comprises a package and at least one passer, the initial images are acquired by the first camera 100 when the package is detected to be placed on the conveyor belt of the security inspection machine, and the first camera is arranged at the security inspection machine.
Alternatively, as described above, the first camera 100 may send the initial image in the initial image set to the association apparatus 400 (integrated security software platform) after acquiring the initial image set. In this case, the integrated security software platform may acquire the initial image set, in particular by receiving the initial image sent by the first camera 100.
Alternatively, the initial image may specifically include a parcel and a face image of at least one passer-by.
Optionally, after the initial image set is acquired, the comprehensive security software platform may further use each initial image of the plurality of initial images as a first record, and obtain a plurality of first records and store the first records.
S102, the comprehensive security software platform acquires a first snapshot image of a target passer at a security gate.
The target passers can be any passer.
Alternatively, as described above, the second camera 200 may send a snap shot image of the passer-by at the security gate to the association device 400 (integrated security software platform) after the snap shot image is acquired. In this case, the integrated security software platform may obtain the first captured image of the target passer-by at the security gate by receiving the captured image sent by the second camera 200.
And S103, the comprehensive security software platform determines one or more target images corresponding to the target passers from the initial image set according to the first snapshot image.
The target image is an initial image of target passers in a plurality of initial images.
The specific process of S103 may be described with reference to S1031 in fig. 3 below, and will not be described here again.
S104, the comprehensive security software platform acquires a second snapshot image of the target passer at the preset position point.
Alternatively, as described above, the third camera 300 may transmit the snap shot image to the association apparatus 400 (integrated security software platform) after collecting the snap shot image at a preset position point after the passer-by passes through the security gate. In this case, the integrated security software platform may acquire a second snapshot image of the target passer-by at the preset location point after passing through the security gate by receiving the snapshot image transmitted from the third camera 300.
And S105, integrating one or more target images and the second snapshot image into a record by the comprehensive security software platform for storage.
According to the security data association method provided by the embodiment of the application, the comprehensive security software platform can determine the initial image comprising the target passers-by from the initial image set which is likely to appear as one-pack-of-multiple-person according to the first snapshot image of the target passers-by at the security gate, then detect the second snapshot image of the target passers-by at the preset position point after passing through the security gate, integrate one or more target images and the second snapshot image into one record for storage, and facilitate the staff to accurately screen passers-by carrying packages in the one-pack-of-multiple-person phenomenon according to the stored record.
In some possible embodiments, as described above, the comprehensive security software platform may use each initial image as one first record, and obtain and store a plurality of first records. In this case, fig. 3 is another flow chart of the security check data association method provided in the embodiment of the present application. As shown in fig. 3, the step S103 may specifically include step S1031, the method may further include step S201, and the step S105 may specifically include step S1051.
S1031, the comprehensive security software platform selects one or more initial records including the target passers from the plurality of first records.
And S201, integrating the first snapshot image and one or more initial records into a second record for storage by the comprehensive security software platform.
S1051, integrating the second record and the second snap-shot image into a candidate record by the comprehensive security software platform for storage.
In other possible embodiments, the comprehensive security software platform may also integrate one or more of the initial record and the second snapshot image into a candidate record for storage. I.e. the first snap shot image may not be included in the candidate record. In some embodiments, the comprehensive security software platform may record and store images of the target passers-by on the same day.
In one possible implementation manner, the comprehensive security software platform may select a first record of a time near the snapshot time according to the snapshot time of the first snapshot image to screen the target image (or include an initial record of the target passer). In this case, the above S1031 may specifically include the following steps 1a to 3a, and the above S104 may specifically include the following step 4a.
Step 1a, acquiring snapshot time of a first snapshot image by the comprehensive security software platform.
For example, when the second camera 200 collects the first captured image, the timestamp when the first captured image is collected may also be recorded, and when the second camera 200 sends the first captured image to the integrated security software platform, the timestamp may also be sent to the integrated security software platform at the same time. In this case, the integrated security software platform may determine the snapshot time of the first snapshot image from the timestamp.
And 2a, screening out first records in a first preset time period before the snapshot time from a plurality of first records by the comprehensive security software platform.
The first preset duration can be preset in the comprehensive security software platform by a manager. For example, the preset time period may be 3 seconds, 5 seconds, 10 seconds, or the like. The embodiments of the present application are not limited in this regard.
And 3a, selecting one or more initial records including the target passing personnel from the first records in a first preset time period before the snapshot time by the comprehensive security software platform.
Alternatively, the first snap shot image may be a face image, and the integrated security software platform may determine an initial record including the target passer by comparing the face images. In this case, the above step 3a may specifically include the steps of:
And 3.1a, determining an initial image comprising the face image in a first record in a first preset time before the snapshot time by the comprehensive security software platform according to the face image of the target passer.
For example, the second camera 200 may first acquire a whole-body image of the target passer, and then intercept a face image of the target passer from the whole-body image by using a face detection algorithm, and send the face image as a first snap shot image to the comprehensive security software platform.
Optionally, the comprehensive security software platform may take the face feature in the face image of the target passing person as an index, traverse a first record within a first preset time period before the snapshot time, and determine an initial image, which has a similarity higher than a threshold value with the face feature, in the first record within the first preset time period before the snapshot time as an initial image including the face image in the initial image within the preset time period.
For example, the initial image may be stored in a storage device (e.g., memory 20 described below). The integrated security software platform may have stored therein a first record comprising the facial features of the facial image included in the initial image and the storage address of the initial image in a storage device (e.g., memory 20 described below). The comprehensive security software platform can search a first record in a first preset time period before the snapshot time by taking the face features in the first snapshot image as indexes, determine a target first record in which target face features with similarity higher than a threshold value with the face features in the first snapshot image are located, and obtain an initial image comprising the face images from a storage device (for example, a memory 20) by utilizing a storage address in the target first record.
It should be appreciated that if the comparison is made using an overall image of the targeted traffic personnel, a significant amount of computing resources may be consumed. In the security inspection data association method provided by the embodiment of the application, the comprehensive security protection software platform can judge whether the first record comprises the target passer or not by utilizing the face image, and the whole image is not required to be compared, so that the computing resource is saved.
Alternatively, the first snap shot image may be a whole image. Under the condition, the comprehensive security software platform can firstly extract the face features of the target passers from the whole image, and then screen out an initial image comprising the face image of the target passers from the first record in the first preset time before the snapshot time based on the face features. The specific process may be described with reference to one possible implementation manner, and will not be described herein.
It should be appreciated that a significant amount of computing resources may be consumed if compared to all of the initial images in the initial image set. According to the security check data association method provided by the embodiment of the application, the comprehensive security software platform can compare initial images comprising the target passing personnel from the first record in the first preset time before the snapshot time, and comparison of all the initial images is not needed, so that calculation resources are saved.
And 4a, acquiring a second snapshot image of the target passing person at a preset position point within a second preset time period after the snapshot time by the comprehensive security software platform.
The sum of the first preset time length and the second preset time length is smaller than a preset time length threshold value. The preset duration threshold may be preset by an administrator in the integrated security software platform, for example, the preset duration threshold may be set to 8 hours, 12 hours, 24 hours, or the like. The embodiment of the application does not limit the specific duration of the preset duration threshold.
In another possible implementation manner, the comprehensive security software platform may also select the first record near the capturing time of the first captured image according to the serial number in the image set where the first captured image is located to screen the target image (or include the initial record of the target passer). In this case, the above S1031 may specifically include the following steps 1b to 3b.
And step 1b, the comprehensive security software platform acquires the first serial number.
When the first serial number is the serial number of the first snapshot image in the security gate image set when the comprehensive security software platform caches the first snapshot image to the security gate image set. For example, as described above, the second camera may send the captured snapshot image to the integrated security software platform (association device 400), which may cache the snapshot image sent by the second camera into the security gate graph set.
And 2b, screening M candidate first records from the security check map set before the first serial number by the comprehensive security software platform according to the first serial number.
The first records are cached in the image set of the security inspection machine. M can be preset in the comprehensive security software platform by a manager. For example, M may be set to 5, 10, 15, or the like, and specific values of M are not limited in the embodiments of the present application.
For example, assuming that the number of the first snap-shot image in the security gate image set is 100 and m is set to 5, the integrated security software platform may find the first record with the number of 100 in the security gate image set, and screen out 5 first records (i.e., the first records with the numbers of 99, 98, 97, 96, and 95) before the first record with the number of 100 in the security gate image set as candidate first records.
Alternatively, the candidate first record may also include a first record with a first sequence number in the security check atlas.
For example, if the number of the first snapshot image in the security gate image set is 100 and the number m is set to 5, the integrated security software platform may find the first record with the number 100 in the security machine image set, and filter out the first record with the number 100 in the security machine image set and the 4 first records before the first record (i.e. the first records with the numbers 99, 98, 97, and 96) as candidate first records.
And 3b, selecting one or more initial records including the target passers from the candidate first records by the comprehensive security software platform.
Step 3b may be described with reference to step 3a above, and will not be described again here.
In other embodiments, the comprehensive security software platform may also record and store images of the target passers in different days. In this case, fig. 4 is a schematic flow chart of a security check data association method provided in an embodiment of the present application. As shown in fig. 4, the method may further include S301 to S309.
S301, acquiring a history detection record of a target passing person by the comprehensive security software platform.
The history detection record comprises a first-level sub-record corresponding to each of a plurality of snapshot dates, and each first-level sub-record comprises a second-level sub-record corresponding to each of a plurality of snapshot time periods. For example, the plurality of snapshot periods may include an afternoon period and a midday period.
S302, the comprehensive security software platform acquires a target snapshot date of the first snapshot image.
For example, as described above, the second camera 200 may also record a timestamp of when the first captured image was captured, and the integrated security software platform may determine the target capture date based on the timestamp.
S303, the comprehensive security software platform determines whether the history detection record comprises a target primary sub-record corresponding to the target snapshot date according to the target snapshot date.
And S304, under the condition that the history detection record comprises a target first-level sub-record, the comprehensive security software platform acquires the target snapshot time of the first snapshot image.
S305, the comprehensive security software platform determines whether the target primary sub-record comprises a target secondary sub-record corresponding to a snapshot period in which the target snapshot time is located according to the target snapshot time.
And S306, under the condition that the target primary sub-record comprises the target secondary sub-record, the comprehensive security software platform stores the candidate record as a primary riding record of the target passer into the target secondary sub-record.
S307, under the condition that the target primary sub-record does not comprise the target secondary sub-record, the comprehensive security software platform newly builds a secondary sub-record corresponding to the snapshot time period of the target snapshot time in the target primary sub-record, and stores the candidate record as a primary riding record of the target passer into the newly built secondary sub-record.
And S308, under the condition that the history detection record does not comprise the first-level sub-record of the target, the comprehensive security software platform newly builds the first-level sub-record corresponding to the target snapshot date in the history detection record, and acquires the target snapshot time of the first snapshot image.
S309, the comprehensive security software platform newly builds a secondary sub-record corresponding to the snapshot time period of the target snapshot time in the newly built primary sub-record, and stores the candidate record as a primary riding record of the target passer into the newly built secondary sub-record.
In some embodiments, after determining the candidate record, the integrated security software platform may further integrate the candidate record with the target record by comparing the parcel features in the second snap shot image. In this case, fig. 5 is a schematic flow chart of a security check data association method provided in an embodiment of the present application. As shown in fig. 5, after S105 described above, the method may further include S401 to S405.
S401, the comprehensive security software platform acquires a first corresponding relation.
Wherein the first correspondence is used to represent correspondence between the package characteristics and a plurality of storage addresses of the first record in a storage device (e.g., the memory 20 described below). The package feature may include: package type, package color, package shape, etc.
Illustratively, the first correspondence may be as shown in table 1 below:
TABLE 1
Package feature Memory address
Packaging feature 1 Memory address 1
Package feature 2 Memory address 2
Packaging feature 3 Memory address 3
As shown in table 1, table 1 may include a parcel feature item and a storage address item. The parcel feature item may comprise parcel feature 1, parcel feature 2, and parcel feature 3. The memory address entries may include memory address 1, memory address 2, and memory address 3. The package feature 1 and the storage address 1 have a corresponding relation; the package feature 2 and the storage address 2 have a corresponding relation; there is a correspondence between the package characteristics 3 and the storage addresses 3.
S402, the comprehensive security software platform screens out a second corresponding relation from the first corresponding relation.
The second correspondence is a correspondence between the package feature and one or more storage addresses initially recorded in the storage device.
S403, under the condition that the second snapshot image comprises the target package, the comprehensive security software platform acquires package characteristics of the target package in the second snapshot image.
The target package is a package carried by a target passer.
For example, a package detection algorithm for detecting package characteristics may be preset in the comprehensive security software platform, and the comprehensive security software platform may detect package characteristics of the target package through the package detection algorithm.
S404, the comprehensive security software platform uses the package characteristics of the target package as an index, and traverses and searches the initial record of the storage address recorded in the second corresponding relation.
And S405, if the package feature with the similarity of the package feature of the target package is larger than the similarity threshold value in the second corresponding relation, the comprehensive security software platform retrieves the initial target record and the second snap shot image from the storage device according to the storage address corresponding to the package feature and integrates the initial target record and the second snap shot image into an item mark record for storage.
The similarity threshold may be preset in the comprehensive security software platform by an administrator. For example, the similarity threshold may be 85%, 90%, or 95%, etc. The specific values of the similarity threshold are not limited in the embodiment of the application.
For example, the initial record (or target image) may be stored in a storage device (e.g., memory 20 described below). The integrated security software platform may store a first correspondence comprising the initial record (or target image) each including the parcel characteristics of the parcel, and the storage address of the initial record (or target image) in a storage device (e.g., memory 20 described below). The comprehensive security software platform can select a second corresponding relation from the second corresponding relation, take the package feature of the target package in the second snapshot image as an index, traverse and search the initial record of the storage address recorded in the second corresponding relation, determine the package feature with the package feature similarity higher than a threshold value of the target package, obtain the target initial record corresponding to the package feature from a storage device (for example, the following storage 20) according to the storage address corresponding to the package feature, and integrate the target initial record corresponding to the package feature and the second snapshot image into an item mark record for storage.
In other embodiments, the comprehensive security software platform may integrate the one or more initial records, the first captured image, and the second captured image into a reference record for storage if the target passer is in an unpacked state in the second captured image.
In still other embodiments, the integrated security software platform may also integrate the target records by receiving user operations.
In a possible implementation manner, the operation of the user may specifically be a selected operation on a human body area. In this case, fig. 6 is a schematic flow chart of a security check data association method provided in an embodiment of the present application. As shown in fig. 6, after S105 described above, the method may also include S501 to S503.
S501, displaying a comparison interface by the comprehensive security software platform.
The contrast interface comprises a first snapshot image, a second snapshot image and one or more target images corresponding to the target passers.
S502, the comprehensive security software platform receives the selection operation of a user on any human body area in one or more target images in the comparison interface.
For example, the user may pull the selection box to frame the head area of the selected target passer, thereby manually marking the target passer in the target image.
For another example, the user may also pull the selection frame to frame the hand area in the target image that is in direct contact with the package, thereby manually marking the target passer-by in the target image.
S503, the comprehensive security software platform responds to the selected operation, and integrates the first snapshot image, the second snapshot image and the target image of the human body area selected by the selected operation into an item mark record for storage.
In another possible implementation manner, the operation of the user may also be a selection operation of any one of the one or more target images.
For example, the user may sort out any one of the target images.
For another example, the user may drag any one of the target images to a target area (e.g., an area of the first snap image and the second snap image) of the contrast interface, thereby selecting the one of the target images.
Based on the understanding of the above embodiments, fig. 7 is a flowchart of security check data association provided in the embodiments of the present application. As shown in fig. 7, taking a subway scene as an example, the association flow may include S601 to S607.
S601, passengers enter a subway security inspection port.
Wherein, S604 is performed after S602 and S603 are performed for the flow of the passenger with the pack; the flow for the passenger without the pack proceeds directly to S604.
S602, placing the bag on a conveyor belt of a security inspection machine by a passenger, and triggering the detection function of the face and the bag by a three-eye camera.
And S603, if the passenger flow peak period is the moment, the face images detected by the three-eye camera comprise a plurality of face images, and the face images are integrated into a package record for storage.
S602 and S603 may be described with reference to S101, and are not described herein.
S604, passengers enter a security gate for security check (face snapshot, temperature measurement and the like).
S604 may be described with reference to S102 above, and will not be described herein.
S605, the snap faces are uploaded to a comprehensive security software platform, the comprehensive security software platform performs super brain face comparison according to the faces in the package record data in the near period of time, and corresponding package data are found to integrate a record.
It will be appreciated that for passengers without packages, the corresponding package data is theoretically not found.
S605 may be described with reference to S103 above, and will not be described here again.
S606, a passenger enters a subway ticket gate to swipe a card, and a panoramic camera at the ticket gate captures and identifies a face and then integrates the face with the above record in a packet searching mode to form a record.
S606 may be described with reference to S104 and S105, and will not be described here.
S607, the passenger enters the subway.
The foregoing description of the solution provided in the embodiments of the present application has been mainly presented in terms of a method. To achieve the above functions, it includes corresponding hardware structures and/or software modules that perform the respective functions. Those of skill in the art will readily appreciate that the elements and algorithm steps of the various examples described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. The technical aim may be to use different methods to implement the described functions for each particular application, but such implementation should not be considered beyond the scope of the present application.
In an exemplary embodiment, the embodiment of the present application further provides a security check data association device, where the device may be applied to the association device 400 described above. Fig. 8 is a schematic diagram of a composition of a security inspection data association device according to an embodiment of the present application. As shown in fig. 8, the apparatus includes: an acquisition module 801 and a processing module 802.
An acquisition module 801, configured to acquire an initial image set; the initial image set comprises a plurality of initial images, each initial image comprises a package and at least one passer, the initial images are acquired by a first camera when the package is detected to be placed on a conveyor belt of the security inspection machine, and the first camera is arranged at the security inspection machine; acquiring a first snapshot image of a target passing person at a security gate;
A processing module 802, configured to determine, from the initial image set, one or more target images corresponding to the target passers from the first captured image; the target image is an initial image of target traffic personnel in a plurality of initial images;
the obtaining module 801 is further configured to obtain a second snapshot image of the target traffic personnel at a preset position point;
the processing module 802 is further configured to integrate one or more target images and the second snapshot image into a record for storage.
In some possible embodiments, the processing module 802 is further configured to, after the acquiring module 801 acquires the initial image set, take each initial image of the plurality of initial images as a first record, obtain a plurality of first records, and store the first records; a processing module 802, specifically configured to select one or more initial records including a target passing person from the plurality of first records; the processing module 802 is further configured to integrate the first captured image and the one or more initial records into a second record for storage; the processing module 802 is specifically configured to integrate the second record and the second captured image into one candidate record for storage.
In other possible embodiments, the processing module 802 is specifically configured to obtain a snapshot time of the first snapshot image; screening first records in a first preset time period before the snapshot time from a plurality of first records; selecting one or more initial records comprising the target passing personnel from the first records in a first preset time period before the snapshot time; the acquiring module 801 is specifically configured to acquire a second snapshot image of the target traffic person at a preset position point within a second preset duration after the snapshot time; the sum of the first preset time length and the second preset time length is smaller than a preset time length threshold value.
In still other possible embodiments, the obtaining module 801 is further configured to obtain a history detection record of the target traffic personnel; the history detection record comprises a first-level sub-record corresponding to each of a plurality of snapshot dates; each primary sub-record comprises a plurality of secondary sub-records corresponding to the snapshot time periods; acquiring a target snapshot date of a first snapshot image; the processing module 802 is further configured to determine, according to the target capture date, whether the history detection record includes a target primary sub-record corresponding to the target capture date; under the condition that the history detection record comprises a target first-level sub-record, acquiring a target snapshot time of the first snapshot image; determining whether a target primary sub-record comprises a target secondary sub-record corresponding to a snapshot period in which the target snapshot time is located according to the target snapshot time; under the condition that the target primary sub-record comprises the target secondary sub-record, the candidate record is used as a primary riding record of a target passer and is stored into the target secondary sub-record; under the condition that the target primary sub-record does not comprise the target secondary sub-record, newly building a secondary sub-record corresponding to a snapshot period where the target snapshot time is located in the target primary sub-record, and storing the candidate record as a primary riding record of a target passer into the newly built secondary sub-record; under the condition that the history detection record does not comprise the first-level sub-record of the target, a first-level sub-record corresponding to the target snapshot date is newly built in the history detection record, and the target snapshot time of the first snapshot image is obtained; newly building a secondary sub-record corresponding to a snapshot time period in which the target snapshot time is located in the newly built primary sub-record, and storing the candidate record as a primary riding record of a target passing person into the newly built secondary sub-record;
In still other possible embodiments, the obtaining module 801 is further configured to obtain a first correspondence; the first correspondence is used for representing the correspondence between the package characteristics and a plurality of storage addresses of the first records in the storage device; the processing module 802 is further configured to screen out a second corresponding relationship from the first corresponding relationship; the second correspondence is a correspondence between the package feature and one or more storage addresses initially recorded in the storage device; the obtaining module 801 is further configured to obtain a parcel feature of the target parcel in the second snapshot image when the second snapshot image includes the target parcel; the target package is a package carried by a target passer; the processing module 802 is further configured to search through the initial record in which the storage address is recorded in the second correspondence with the parcel feature of the target parcel as an index; if the second corresponding relation has the parcel characteristics with the parcel characteristics of which the parcel similarity is greater than the similarity threshold value, calling the initial target record and the second snap shot image from the storage device according to the storage address corresponding to the parcel characteristics to integrate the initial target record and the second snap shot image into an item mark record for storage; or, the processing module 802 is further configured to integrate the one or more initial records, the first captured image, and the second captured image into one reference record for storage if the target traffic person is in an unpacked state in the second captured image.
In still other possible embodiments, the apparatus further comprises: a display module 803; the display module 803 is used for displaying a contrast interface; the contrast interface comprises a first snapshot image, a second snapshot image and one or more target images corresponding to the target passers; the processing module 802 is further configured to receive a selection operation of a user on a human body region at any one of one or more target images in the comparison interface; and in response to the selection operation, integrating the first snapshot image, the second snapshot image and the target image of the human body area selected by the selection operation into an item mark record for storage.
In an exemplary embodiment, the embodiment of the present application further provides an electronic device, which may be applied to the association apparatus 400 described above. Fig. 9 is a schematic diagram of the composition of an electronic device according to an embodiment of the present application. As shown in fig. 9, the electronic device may include: processor 10, memory 20, communication line 30, and communication interface 40, and input-output interface 50.
The processor 10, the memory 20, the communication interface 40, and the input/output interface 50 may be connected by a communication line 30.
The processor 10 is configured to execute the instructions stored in the memory 20 to implement the security check data association method provided in the foregoing embodiments of the present application. The processor 10 may be a CPU, general purpose processor network processor (network processor, NP), digital signal processor (digital signal processing, DSP), microprocessor, microcontroller (micro control unit, MCU)/single-chip microcomputer, programmable logic device (programmable logic device, PLD), or any combination thereof. The processor 10 may also be any other apparatus having a processing function, such as a circuit, a device, or a software module, which is not limited in this embodiment. In one example, processor 10 may include one or more CPUs, such as CPU0 and CPU1 in fig. 9. As an alternative implementation, the electronic device may include multiple processors, for example, and may include a processor 60 (illustrated in phantom in fig. 9) in addition to the processor 10.
Memory 20 for storing instructions. For example, the instructions may be a computer program. Alternatively, the memory 20 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and/or instructions, an access memory (random access memory, RAM) or other type of dynamic storage device capable of storing information and/or instructions, or an electrically erasable programmable read-only memory (electrically erasable programmable read-only memory, EEPROM), a compact disc (compact disc read-only memory, CD-ROM) or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage medium, or other magnetic storage device, etc., which are not limited in this embodiment of the present application.
It should be noted that, the memory 20 may exist separately from the processor 10 or may be integrated with the processor 10. The memory 20 may be located inside the electronic device or outside the electronic device, which is not limited in this embodiment of the present application.
A communication line 30 for communicating information between the components comprised by the electronic device.
A communication interface 40 for communicating with other devices (e.g., the first camera 100, the second camera 200, or the third camera 300 described above, etc.) or other communication networks. The other communication network may be an ethernet, a radio access network (radio access network, RAN), a wireless local area network (wireless local area networks, WLAN), etc. The communication interface 40 may be a module, a circuit, a transceiver, or any device capable of enabling communication.
And an input-output interface 50 for implementing man-machine interaction between the user and the electronic device. Such as enabling action interactions or information interactions between a user and an electronic device.
The input/output interface 50 may be a mouse, a keyboard, a display screen, or a touch display screen, for example. The action interaction or information interaction between the user and the electronic equipment can be realized through a mouse, a keyboard, a display screen, a touch display screen or the like.
It should be noted that the structure shown in fig. 9 does not constitute a limitation of the electronic device, and the electronic device may include more or less components than those shown in fig. 9 (for example, only the processor 10 and the memory 20), or a combination of some components, or a different arrangement of components.
In an exemplary embodiment, a readable storage medium is also provided, comprising software instructions that, when run on an electronic device, cause the electronic device to perform any of the methods provided by the above embodiments.
In an exemplary embodiment, the present application also provides a computer program product comprising computer-executable instructions, which, when run on an electronic device, cause the electronic device to perform any of the methods provided by the above embodiments.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using a software program, it may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer-executable instructions. When the computer-executable instructions are loaded and executed on a computer, the processes or functions in accordance with embodiments of the present application are fully or partially produced. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer-executable instructions may be stored in or transmitted from one computer-readable storage medium to another, for example, from one website, computer, server, or data center by wired (e.g., coaxial cable, fiber optic, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). Computer readable storage media can be any available media that can be accessed by a computer or data storage device including one or more servers, data centers, etc. that can be integrated with the media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), a solid state disk, etc.
Although the present application has been described herein in connection with various embodiments, other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed application, from a review of the figures, the disclosure, and the appended claims. In the claims, the word "Comprising" does not exclude other elements or steps, and the "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.
Although the present application has been described in connection with specific features and embodiments thereof, it will be apparent that various modifications and combinations can be made without departing from the spirit and scope of the application. Accordingly, the specification and drawings are merely exemplary illustrations of the present application as defined in the appended claims and are considered to cover any and all modifications, variations, combinations, or equivalents that fall within the scope of the present application. It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the spirit or scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to cover such modifications and variations.
The foregoing is merely a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any changes or substitutions within the technical scope of the present disclosure should be covered in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. A security data association method, the method comprising:
acquiring an initial image set; the initial image set comprises a plurality of initial images, each initial image comprises a package and at least one passer, the initial images are acquired by a first camera when the package is detected to be placed on a conveyor belt of a security inspection machine, and the first camera is arranged at the security inspection machine;
acquiring a first snapshot image of a target passing person at a security gate;
according to the first snapshot image, one or more target images corresponding to the target passing person are determined from the initial image set; the target image is an initial image of the target passing person in the plurality of initial images;
acquiring a second snapshot image of the target passing person at a preset position point;
and integrating the one or more target images and the second snap shot image into one record for storage.
2. The method of claim 1, wherein after the acquiring the initial image set, the method further comprises:
taking each initial image in the plurality of initial images as a first record, obtaining a plurality of first records and storing the first records;
the determining, according to the first captured image, one or more target images corresponding to the target passer from the initial image set includes:
selecting one or more initial records comprising the target passer from the plurality of first records;
the method further comprises the steps of:
integrating the first snap shot image and the one or more initial records into a second record for storage;
the integrating the one or more target images and the second snap shot image into one record for storage comprises:
and integrating the second record and the second snap shot image into a candidate record for storage.
3. The method of claim 2, wherein the selecting one or more initial records from the plurality of first records that includes the targeted pass includes:
acquiring the snapshot time of the first snapshot image;
Screening out first records in a first preset time period before the snapshot time from the plurality of first records;
selecting one or more initial records comprising the target passing personnel from the first records in a first preset time period before the snapshot time;
the obtaining a second snapshot image of the target passing person at the preset position point comprises the following steps:
acquiring a second snapshot image of the target passing person at a preset position point within a second preset time period after the snapshot time; the sum of the first preset time length and the second preset time length is smaller than a preset time length threshold;
and/or the number of the groups of groups,
the method further comprises the steps of:
acquiring a history detection record of the target passing personnel; the history detection record comprises a first-level sub-record corresponding to each of a plurality of snapshot dates; each primary sub-record comprises a plurality of secondary sub-records corresponding to the snapshot time periods;
acquiring a target snapshot date of the first snapshot image;
determining whether the history detection record comprises a target primary sub-record corresponding to the target snapshot date according to the target snapshot date;
acquiring a target snapshot time of the first snapshot image under the condition that the history detection record comprises the target primary sub-record;
Determining whether the target primary sub-record comprises a target secondary sub-record corresponding to a snapshot period in which the target snapshot time is located or not according to the target snapshot time;
under the condition that the target primary sub-record comprises the target secondary sub-record, the candidate record is used as a primary riding record of the target passing person to be stored into the target secondary sub-record;
under the condition that the target primary sub-record does not comprise the target secondary sub-record, a secondary sub-record corresponding to a snapshot period of the target snapshot time is newly built in the target primary sub-record, and the candidate record is used as a primary riding record of the target passer and stored in the newly built secondary sub-record;
under the condition that the history detection record does not comprise the target primary sub-record, a primary sub-record corresponding to the target snapshot date is newly built in the history detection record, and the target snapshot time of the first snapshot image is obtained;
and a second-level sub-record corresponding to the snapshot time period of the target snapshot time is newly built in the newly built first-level sub-record, and the candidate record is used as a primary riding record of the target passer and is stored in the newly built second-level sub-record.
4. The method according to claim 2, wherein the method further comprises:
acquiring a first corresponding relation; the first correspondence is used for representing correspondence between package characteristics and storage addresses of the plurality of first records in the storage device;
screening a second corresponding relation from the first corresponding relation; the second correspondence is a correspondence between the package feature and the one or more storage addresses initially recorded in the storage device;
acquiring package characteristics of a target package in the second snapshot image under the condition that the second snapshot image comprises the target package; the target package is a package carried by the target passer; taking the package characteristics of the target package as an index, and traversing and searching the initial record of the storage address recorded in the second corresponding relation;
if the second corresponding relation has the parcel characteristics with parcel characteristics similarity greater than a similarity threshold value, calling a target initial record and the second snap shot image from the storage device according to a storage address corresponding to the parcel characteristics to integrate into an item mark record for storage;
Or,
and under the condition that the target passing person is in an un-carried state in the second snapshot image, integrating the one or more initial records, the first snapshot image and the second snapshot image into one reference record for storage.
5. The method according to claim 2, wherein the method further comprises:
displaying a comparison interface; the contrast interface comprises the first snapshot image, the second snapshot image and one or more target images corresponding to the target passers;
receiving the selection operation of a user on any human body area in one or more target images in the comparison interface;
and in response to the selection operation, integrating the first snapshot image, the second snapshot image and the target image of the human body area selected by the selection operation into an item mark record for storage.
6. A security data association device, the device comprising: the device comprises an acquisition module and a processing module;
the acquisition module is used for acquiring an initial image set; the initial image set comprises a plurality of initial images, each initial image comprises a package and at least one passer, the initial images are acquired by a first camera when the package is detected to be placed on a conveyor belt of a security inspection machine, and the first camera is arranged at the security inspection machine; acquiring a first snapshot image of a target passing person at a security gate;
The processing module is used for determining one or more target images corresponding to the target passing personnel from the initial image set according to the first snapshot image; the target image is an initial image of the target passing person in the plurality of initial images;
the acquisition module is also used for acquiring a second snapshot image of the target passing person at a preset position point;
and the processing module is also used for integrating one record according to the one or more target images and the second snapshot image.
7. The apparatus of claim 6, wherein the device comprises a plurality of sensors,
the processing module is further configured to, after the acquiring module acquires the initial image set, obtain and store a plurality of first records by using each initial image of the plurality of initial images as a first record; the processing module is specifically configured to select one or more initial records including the target traffic personnel from the plurality of first records; the processing module is further configured to integrate the first captured image and the one or more initial records into a second record for storage; the processing module is specifically configured to integrate the second record and the second snapshot image into a candidate record for storage;
And/or the number of the groups of groups,
the processing module is specifically configured to obtain a snapshot time of the first snapshot image; screening out first records in a first preset time period before the snapshot time from the plurality of first records; selecting one or more initial records comprising the target passing personnel from the first records in a first preset time period before the snapshot time; the acquisition module is specifically configured to acquire a second snapshot image of the target passing person at a preset position point within a second preset duration after the snapshot time; the sum of the first preset time length and the second preset time length is smaller than a preset time length threshold;
and/or the number of the groups of groups,
the acquisition module is also used for acquiring the history detection record of the target passing personnel; the history detection record comprises a first-level sub-record corresponding to each of a plurality of snapshot dates; each primary sub-record comprises a plurality of secondary sub-records corresponding to the snapshot time periods; acquiring a target snapshot date of the first snapshot image; the processing module is further used for determining whether the history detection record comprises a target primary sub-record corresponding to the target snapshot date according to the target snapshot date; acquiring a target snapshot time of the first snapshot image under the condition that the history detection record comprises the target primary sub-record; determining whether the target primary sub-record comprises a target secondary sub-record corresponding to a snapshot period in which the target snapshot time is located or not according to the target snapshot time; under the condition that the target primary sub-record comprises the target secondary sub-record, the candidate record is used as a primary riding record of the target passing person to be stored into the target secondary sub-record; under the condition that the target primary sub-record does not comprise the target secondary sub-record, a secondary sub-record corresponding to a snapshot period of the target snapshot time is newly built in the target primary sub-record, and the candidate record is used as a primary riding record of the target passer and stored in the newly built secondary sub-record; under the condition that the history detection record does not comprise the target primary sub-record, a primary sub-record corresponding to the target snapshot date is newly built in the history detection record, and the target snapshot time of the first snapshot image is obtained; a second-level sub-record corresponding to the snapshot time period of the target snapshot time is newly built in the newly built first-level sub-record, and the candidate record is used as a primary riding record of the target passer and is stored in the newly built second-level sub-record;
And/or, the obtaining module is further configured to obtain a first correspondence; the first correspondence is used for representing correspondence between package characteristics and storage addresses of the plurality of first records in the storage device;
the processing module is further used for screening a second corresponding relation from the first corresponding relation; the second correspondence is a correspondence between the package feature and the one or more storage addresses initially recorded in the storage device;
the acquiring module is further configured to acquire a parcel feature of the target parcel in the second snapshot image when the second snapshot image includes the target parcel; the target package is a package carried by the target passer; the processing module is further configured to search through an initial record in which a storage address is recorded in the second correspondence, with a parcel feature of the target parcel as an index; if the second corresponding relation has the parcel characteristics with parcel characteristics similarity greater than a similarity threshold value, calling a target initial record and the second snap shot image from the storage device according to a storage address corresponding to the parcel characteristics to integrate into an item mark record for storage;
Or,
the processing module is further configured to integrate the one or more initial records, the first snapshot image, and the second snapshot image into a reference record for storage if the target traffic person is in an unpacked state in the second snapshot image;
and/or the number of the groups of groups,
the apparatus further comprises: a display module; the display module is used for displaying a contrast interface; the contrast interface comprises the first snapshot image, the second snapshot image and one or more target images corresponding to the target passers; the processing module is also used for receiving the selection operation of a user on any human body area in the one or more target images in the comparison interface; and in response to the selection operation, integrating the first snapshot image, the second snapshot image and the target image of the human body area selected by the selection operation into an item mark record for storage.
8. An electronic device, the electronic device comprising: a processor and a memory;
the memory stores instructions executable by the processor;
the processor is configured to, when executing the instructions, cause the electronic device to implement the method of any one of claims 1-5.
9. A readable storage medium, the readable storage medium comprising: a software instruction;
when the software instructions are run in an electronic device, the electronic device is caused to implement the method of any one of claims 1-5.
10. A security data association system, the system comprising:
the security inspection device comprises a first camera arranged on a security inspection machine, a second camera arranged on a security inspection door, a third camera arranged at a preset position point and a correlation device;
the first camera is used for acquiring initial images when detecting that the package is placed on a conveyor belt of the security inspection machine, and obtaining an initial image set comprising a plurality of initial images; each initial image includes a package, and at least one passer-by;
the second camera is used for acquiring a first snap-shot image of the target passer at the security gate;
the association device is used for determining one or more target images corresponding to the target passing person from the initial image set according to the first snapshot image; the target image is an initial image of the target passing person in the plurality of initial images;
the third camera is used for acquiring a second snapshot image of the target passing person at a preset position point;
The association device is further used for integrating the one or more target images and the second snapshot image into a record for storage.
CN202311829360.8A 2023-12-27 2023-12-27 Security check data association method, device, equipment, storage medium and system Pending CN117708364A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311829360.8A CN117708364A (en) 2023-12-27 2023-12-27 Security check data association method, device, equipment, storage medium and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311829360.8A CN117708364A (en) 2023-12-27 2023-12-27 Security check data association method, device, equipment, storage medium and system

Publications (1)

Publication Number Publication Date
CN117708364A true CN117708364A (en) 2024-03-15

Family

ID=90163597

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311829360.8A Pending CN117708364A (en) 2023-12-27 2023-12-27 Security check data association method, device, equipment, storage medium and system

Country Status (1)

Country Link
CN (1) CN117708364A (en)

Similar Documents

Publication Publication Date Title
WO2019154384A1 (en) System combining biological recognition and intelligent verification
CN108369645A (en) Taxi operation monitoring method, device, storage medium and system
US20150186839A1 (en) Whole-course visualization system and method for logistics articles
WO2022257892A1 (en) Information association method and apparatus, security inspection device, and storage medium
EP3796051A1 (en) Personnel security inspection method and personnel security inspection system
CN106339428A (en) Identity identification method and device for suspects based on large video data
CN106295788A (en) The statistical method of the volume of the flow of passengers and device
BR102017008800A2 (en) CENTRALIZED SAFETY INSPECTION MANAGEMENT SYSTEM
CN104239386B (en) For matching the method and system for distinguishing priority to face recognition
KR102039279B1 (en) System and method for supporting police work using image recognition
CN106874951B (en) Passenger attention rating method and device
CN110517501A (en) A kind of vehicle overload early warning system and method
CN108279244A (en) A kind of urban track traffic safe examination system
CN109547748B (en) Object foot point determining method and device and storage medium
WO2020114131A1 (en) Joint travel analysis method and device
US20230073717A1 (en) Systems And Methods For Electronic Surveillance
CN106303400B (en) The monitoring method and device of vehicle-mounted vidicon
CN108109348A (en) Classifying alarm method and device
CN114295649B (en) Information association method, device, electronic equipment and storage medium
CN108764197A (en) With vehicle identification method, device, terminal and computer readable storage medium
CN113962672A (en) Information checking system, mobile terminal, checking machine and information checking method
CN112529721A (en) Grain supervision method based on block chain and Internet of things
CN105372715B (en) Shipping safety inspection method, system and rays safety detection apparatus
CN106127866B (en) Ticket checking method and channel management equipment
CN207816895U (en) Safety check apparatus and system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination