CN113838239A

CN113838239A - Data processing method and device, verification system and electronic equipment

Info

Publication number: CN113838239A
Application number: CN202010591447.6A
Authority: CN
Inventors: 张建雄; 宋俊杰
Original assignee: Alibaba Group Holding Ltd
Current assignee: Alibaba Group Holding Ltd
Priority date: 2020-06-24
Filing date: 2020-06-24
Publication date: 2021-12-24
Anticipated expiration: 2040-06-24
Also published as: CN113838239B

Abstract

The embodiment of the invention provides a data processing method, a data processing device, a verification system and electronic equipment. The data processing method comprises the following steps: acquiring traffic data of a traffic channel in a set time period and an image of a verification area where verification equipment for controlling the traffic channel is located; analyzing the image of the verification area and the traffic data, and determining traffic state information of the traffic channel according to an analysis result; determining passing guide information for guiding a user to pass according to the passing state information; and sending the passing guide information to verification equipment corresponding to the passing channel so that a first indicating device of the verification equipment displays according to the passing guide information. The data processing method can improve the passing efficiency.

Description

Data processing method and device, verification system and electronic equipment

Technical Field

The embodiment of the invention relates to the technical field of computers, in particular to a data processing method, a data processing device, a verification system and electronic equipment.

Background

The existing checking equipment only has the passage control function, such as the checking equipment is placed at the entrance of a venue, and checking is carried out by collecting the information of the passage personnel so as to control whether the passage is allowed or not. This makes the check equipment function singleness, can't deal with complicated admission or the demand of leaving a place and changeable service environment, and the staff can only rely on subjective experience to carry out the check equipment configuration. When the on-site verification is carried out, more manpower is needed to be configured for order maintenance and maintenance of the verification equipment, so that the verification equipment can work normally, the existing venue entrance and exit verification still needs to rely on the manpower to a greater extent, and the problems of high verification cost, insufficient intelligence and the like exist.

Disclosure of Invention

Embodiments of the present invention provide a data processing scheme to at least partially solve the above problems.

According to a first aspect of the embodiments of the present invention, there is provided a data processing method including: acquiring traffic data of a traffic channel in a set time period and an image of a verification area where verification equipment for controlling the traffic channel is located; analyzing the image of the verification area and the traffic data, and determining traffic state information of the traffic channel according to an analysis result; determining passing guide information for guiding a user to pass according to the passing state information; and sending the passing guide information to verification equipment corresponding to the passing channel so that a first indicating device of the verification equipment displays according to the passing guide information.

According to a second aspect of embodiments of the present invention, there is provided a verification system, including: a verification system, comprising: the system comprises a server and verification equipment, wherein the server is in communication connection with the verification equipment; the server is used for acquiring an image of a verification area where the verification equipment is located and traffic data of a traffic channel controlled by the verification equipment, analyzing the image of the verification area and the traffic data, determining traffic state data according to an analysis result, and determining traffic guide information for guiding a user to be passed according to the traffic state information; sending the traffic guidance information to the corresponding verification equipment; and the verification equipment is used for controlling the first indicating device to display according to the passing guide information.

According to a third aspect of embodiments of the present invention, there is provided a data processing apparatus including: the system comprises an acquisition module, a verification module and a verification module, wherein the acquisition module is used for acquiring the traffic data of a traffic channel in a set time period and an image of a verification area where verification equipment for controlling the traffic channel is located; the analysis module is used for analyzing the images of the verification areas and the traffic data and determining traffic state information of the traffic channel according to an analysis result; the first determining module is used for determining the passing guide information for guiding the user to pass according to the passing state information; and the sending module is used for sending the traffic guide information to the verification equipment corresponding to the traffic channel so as to display the first indicating device of the verification equipment according to the traffic guide information.

According to a fourth aspect of embodiments of the present invention, there is provided an electronic apparatus, including: the device comprises a processor, a memory, a pass interface and a pass bus, wherein the processor, the memory and the pass interface complete mutual passing through the pass bus; the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the corresponding operation of the data processing method according to the first aspect.

According to a fifth aspect of embodiments of the present invention, there is provided a computer storage medium having stored thereon a computer program which, when executed by a processor, implements the data processing method according to the first aspect.

According to the data processing scheme provided by the embodiment of the invention, the traffic data of the traffic channel and the image of the verification area where the verification equipment for controlling the traffic channel is located are obtained, the digitization of the traffic demands of entrance and exit is realized, the integration, gathering and analysis of the data are realized by analyzing the traffic data and the image of the verification area, the traffic state information is determined according to the analysis result, the traffic guide information is determined according to the traffic state information, the traffic guide information is sent to the verification equipment, the first indicating device of the verification equipment is enabled to display the traffic guide information so as to guide the user to be passed to perform verification and/or guide the staff to perform maintenance, the verification of the verification equipment is enabled to be more intelligent and efficient, the manpower required by the verification is reduced, and the manpower cost is reduced.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the embodiments of the present invention, and it is also possible for a person skilled in the art to obtain other drawings based on the drawings.

FIG. 1a is a flowchart illustrating steps of a data processing method according to a first embodiment of the present invention;

FIG. 1b is a diagram of an arrangement of a verification device in one example scenario in the embodiment shown in FIG. 1 a;

FIG. 1c is a diagram illustrating an example of a scenario in the embodiment shown in FIG. 1 a;

FIG. 2 is a flowchart illustrating steps of a data processing method according to a second embodiment of the present invention;

FIG. 3a is a flowchart illustrating steps of a data processing method according to a third embodiment of the present invention;

FIG. 3b is a diagram illustrating an example of a scenario in the embodiment shown in FIG. 3 a;

FIG. 4 is a flowchart illustrating steps of a data processing method according to a fourth embodiment of the present invention;

FIG. 5a is a block diagram of a verification system according to the fifth embodiment of the present invention;

fig. 5b is a schematic perspective view of a verification device in a verification system according to a fifth embodiment of the present invention;

fig. 6 is a block diagram of a data processing apparatus according to a sixth embodiment of the present invention;

fig. 7 is a schematic structural diagram of an electronic device according to a seventh embodiment of the present invention.

Detailed Description

In order to make those skilled in the art better understand the technical solutions in the embodiments of the present invention, the technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments obtained by a person skilled in the art based on the embodiments of the present invention shall fall within the scope of the protection of the embodiments of the present invention.

The following further describes specific implementation of the embodiments of the present invention with reference to the drawings.

Example one

Referring to fig. 1a, a flowchart illustrating steps of a data processing method according to a first embodiment of the present invention is shown.

In this embodiment, the data processing method is applied to a server of a verification system, the verification system includes the server and a plurality of verification devices, and the server is in communication connection with the verification devices. As shown in FIG. 1b, the verification device is disposed in a verification area of a venue.

In this embodiment, the verification device is configured with an image acquisition device, and the image acquisition device is used for acquiring a target image. It should be noted that the image capturing area in fig. 1b is only for illustrative purposes and is not limited to the image capturing area, the range of the image capturing area formed by using different image capturing devices is different, and the image capturing device of this embodiment may be a wide-angle camera. In addition, the verification area in this embodiment may be determined as needed, for example, the verification area includes an area where the verification device is placed and a queuing area in addition. The image acquisition region includes at least a portion of the verification region.

The server side is in communication connection with the plurality of verification devices, acquires data from the plurality of verification devices, analyzes the acquired data, determines the traffic state information for controlling the verification devices according to the analysis result, gathers and analyzes the data of the plurality of verification devices, and controls the verification devices according to the analysis result, so that the verification of the verification devices is more intelligent and efficient, the number of workers required to be configured during the work of the verification devices is reduced, the degree of dependence on manpower is reduced, and the verification cost is reduced.

The data processing method of the embodiment comprises the following steps:

step S102: the method comprises the steps of obtaining passing data of a passing channel in a set time period and an image of a verification area where verification equipment for controlling the passing channel is located.

In the present embodiment, as shown in fig. 1b, the passage way is a plurality of passage ways, and these passage ways may be passages formed by a plurality of verification devices placed in the verification area at intervals, and used for the user to pass to enter or leave the venue. Each passage is provided with at least one corresponding verification device, and the verification devices are used for controlling the on-off of the corresponding passage to be passed. For example, the verification device determines whether the user to be passed has the passing authority by collecting the certificate data of the user to be passed and verifying the user to be passed according to the certificate data, and if the user to be passed has the passing authority, the corresponding passing channel can be controlled to be opened to allow the user to be passed; otherwise, if the user does not have the right of passage, the passage channel is not opened, and the user to be passed is prevented from passing.

The set time period may be determined as needed, and may be 1 minute, 5 minutes, 10 minutes, 30 minutes, or the like.

Traffic data for a traffic lane includes, but is not limited to: user data of the passing user, the passing time of the user and the like.

The user data includes a user identifier (for example, an ID, a nickname, or the like), verification data of the user, a user transit time, and the like. The verification data comprises certificate data, a verification mode, a verification result, certificate data acquisition time and the like. The voucher data can be two-dimensional code data, face data, electronic ticket numbers and the like which are acquired after the user authorizes the voucher data. The verification mode can be face verification, certificate verification, two-dimensional code verification and the like. The verification result may be verification pass, verification fail, etc. The user passage time takes the collection time of the voucher data as the starting time, and the departure time of detecting the departure of the user from the passage channel as the ending time.

In this embodiment, a specific manner of acquiring the traffic data may be as follows: and acquiring the verification data of the verification equipment from the verification equipment, and determining the user identification, the verification mode, the user passage time and the like according to the verification data.

The image of the verification area where the verification equipment is located can be determined according to the target image acquired by the image acquisition device in each verification equipment.

Step S104: and analyzing the image of the verification area and the traffic data, and determining traffic state information of the traffic channel according to an analysis result.

In a specific implementation, the number of the users to be passed corresponding to each passing channel is determined by carrying out image recognition on the image of the verification area, and the verification efficiency of the verification equipment corresponding to each passing channel is determined by analyzing the passing data of each passing channel. The verification efficiency is used to indicate the number of actually verified users (generally consistent with the number of passed users) per unit time period. The unit time may be determined as needed, and may be, for example, 1 minute, 5 minutes, 10 minutes, or the like.

And determining the passing state information corresponding to each passing channel according to the number of the users to pass in each passing channel and the verification efficiency of the verification equipment corresponding to each passing channel in the analysis result. The traffic status information may indicate whether the corresponding traffic lane is faulty or congested.

Of course, in other embodiments, the image of the verification area and the traffic data may be analyzed in any other suitable manner, which is not limited in this embodiment.

Step S106: and determining the passing guide information for guiding the user to pass according to the passing state information.

For example, if it is determined that a certain traffic lane is trouble-free and not congested according to the traffic state information, traffic guidance information for guiding the user to be passed to check and pass through the traffic lane may be determined. This traffic guidance information may be represented in any suitable manner, such as by the designation "1," or otherwise.

For another example, if it is determined that a certain traffic lane is congested or a corresponding check device has a fault according to the traffic state information, traffic guidance information for guiding the user to be passed to another traffic lane for checking and passing may be determined. This traffic guidance information may be represented in any suitable manner, such as by the designation "0," or otherwise.

Step S108: and sending the passing guide information to verification equipment corresponding to the passing channel so that a first indicating device of the verification equipment displays according to the passing guide information.

The first indicating device is arranged on the verification equipment, faces to the entrance of the passing channel and is mainly used for displaying information to the user to be passed.

The server side sends the passing guide information to the verification equipment, so that the verification equipment controls the first indicating device according to the passing guide information, the first indicating device displays corresponding guide content, information is transmitted to the user to be passed, and the user to be passed is guided.

For example, the service end sends the traffic guidance information of each traffic channel to the corresponding verification device. Aiming at the verification equipment a, the verification equipment a acquires the traffic guide information 1 of the traffic channel A, and controls the first indicating device to display the traffic guide information (displaying the character content of smooth traffic or displaying the pattern for expressing the meaning of smooth traffic and the like) which can be normally passed by the traffic channel A according to the traffic guide information 1, so that the queued user to be passed is guided.

It should be noted that the traffic guidance information may be information in any suitable form, for example, patterns, text, voice, color, etc.

The following describes the data processing method with reference to a specific usage scenario:

as shown in fig. 1c, in the present usage scenario, the server is communicatively connected to a plurality of verification devices (the verification devices a to e shown in fig. 1 c), and the server obtains, from each verification device, a target image collected by the image collecting device on the verification device and verification data of each verification device within the last 10 minutes.

And obtaining an image of the verification area according to the target image. And determining the traffic data of each traffic channel within the last 10 minutes according to the verification data of the verification equipment corresponding to each traffic channel. The traffic data includes the number of traffic users that each traffic lane has passed in the last 10 minutes, the time each traffic user's user is in traffic, and so on.

The service end analyzes the images and the traffic data of the check area to obtain an analysis result, the analysis result comprises the number of the users to pass through of each traffic channel and the check efficiency of the corresponding check equipment, the traffic state information of each traffic channel is determined according to the analysis result, the traffic guide information corresponding to each traffic channel is determined according to the traffic state information, and the traffic guide information is sent to the corresponding check equipment. Thus, the verification equipment controls the first indicating device to display according to the traffic guidance information.

The data integration of each checking device is realized through the mode, the checking is not simply carried out through one independent checking device, but the data of a plurality of checking devices are gathered and analyzed, and the comprehensive adjustment is carried out according to the analysis result, so that the checking intelligence is improved, special workers do not need to be configured for each passage channel to conduct dredging and maintenance, and the dependence on manpower is effectively reduced.

Through this embodiment, acquire the current data of passageway and the image in the verification area at the check equipment place of control passageway, the digitization to the current demand of entering into and going out of the field has been realized, through carrying out the analysis to current data and the image in the verification area, the integration to the data has been realized, gather together and analysis, confirm current state information according to the analysis result, and confirm current guide information according to current state information, send current guide information to the check equipment, make the first indicating device of check equipment show current guide information, in order to guide the user of waiting to pass to check, and/or guide staff to maintain, make the check of check equipment more intelligent and high-efficient, the required manpower of check has been reduced, human cost has been reduced.

Example two

Referring to fig. 2, a flowchart of steps of a data processing method according to a second embodiment of the present invention is shown.

In this embodiment, the data processing method is still configured at the server for example. However, those skilled in the art should understand that in other embodiments, the data processing method may be configured on any verification device, and the embodiment is not limited thereto.

In this embodiment, the data processing method includes the foregoing steps S102 to S108. The step S102 of obtaining the image of the verification area where the verification device is located may be implemented by the substep S1021 and the substep S1022.

Substep S1021: and acquiring target images acquired by the image acquisition devices of the verification equipment corresponding to the plurality of passing channels.

In this embodiment, the image pickup device may be a wide-angle camera by which the target image is photographed. The target image comprises an image of at least part of the verification region. As shown in fig. 1b, there is a partial overlap between the image capture areas of the wide-angle cameras on two adjacent verification devices.

Of course, in other embodiments, the image capturing device on the verification apparatus may be other suitable devices with image capturing capabilities.

And the server is in communication connection with the verification equipment so as to obtain the target image.

Substep S1022: and splicing the target images according to the relative position relation among the image acquisition regions corresponding to the target images, and obtaining the image of the verification region.

In a feasible mode, the relative position relationship between the image acquisition areas can be recorded in advance, the image position relationship between the target images can be determined according to the relative position relationship of the image acquisition areas corresponding to the target images aiming at the acquired target images, and then the target images can be spliced according to the image position relationship to form a complete image of the verification area.

For example, the target images 1-3 correspond to image acquisition regions I-III, respectively. According to the relative position relationship between the image acquisition regions, determining that the image acquisition region I is adjacent to the image acquisition region II, and the image acquisition region II is adjacent to the image acquisition region III, wherein the determined image position relationship is that the right side of the target image 1 is overlapped with the left side of the target image 2, the right side of the target image 2 is overlapped with the left side of the target image 3, and splicing the target images according to the image position relationship to obtain the image of the verification region.

In another feasible mode, image recognition can be performed on the target images, the relative position relationship among the image acquisition regions corresponding to the target images is determined according to the recognition result, and then the target images are spliced.

Still taking target images 1-3 as an example, image recognition is performed on 3 target images to obtain feature data of each target image. For the target image 1, the feature data of the target image 1 and the feature data of the target images 2 and 3 are respectively matched, and the relative position relationship between the target image (namely the target image 2) with the overlapped part of the target image 1 and the image acquisition area corresponding to the overlapped target image and the image acquisition area corresponding to the target image 1 is determined. By the method, the relative position relation among the image acquisition areas corresponding to the target images can be determined, and the target images are spliced according to the relative position relation to obtain the image of the verification area.

Optionally, in this embodiment, in order to improve the intellectualization of the verification and enrich the verification function, in addition to performing the stitching process on the target image to obtain the image of the verification area, the data processing method of this embodiment further includes steps S110 to S114.

Step S110: and carrying out face recognition on the target image acquired by the image acquisition device, and acquiring the face characteristic information of the user to be passed in the target image.

The person skilled in the art may perform face recognition on the target image in any suitable manner, such as using a neural network model with face recognition function.

Step S112: and matching the face feature information with preset target face feature information, and determining whether the user to be passed contains a target object according to a matching result.

The preset target character feature information may be determined as needed, for example, the target character may be a lost child or the like. Taking the example of finding lost children, if parents and children (children are target characters) are lost in a venue, the parents can provide the staff with images containing the faces of the target characters, the staff sends the images to the server, and the server performs face recognition on the images to obtain the characteristic information of the target characters. And then, the server side matches the target person characteristic information with the face characteristic information acquired from the target image, and determines the similarity between each piece of face characteristic information and the target person characteristic information.

If the face feature information with the similarity to the target person feature information greater than or equal to a set value (the set value can be set according to requirements, such as 100% or 90%) is determined to be included in the face feature information according to the similarity, determining that the user to be passed includes the target object, and executing step S112; otherwise, if the human face feature information with the similarity larger than or equal to the set value does not exist, the action is not carried out.

Step S114: and if the target object is contained, generating and sending a prompt message.

The alert message may be any suitable form of message. For example, the prompting message may carry a target image containing the target object. The prompt message can be sent to the verification equipment and displayed by the verification equipment, so that a worker close to the target object can quickly establish contact with the target object, and the target object is prevented from being lost again. The prompting message can also be sent to other required terminal equipment, such as a police station, terminal equipment of other staff and the like.

In addition, the face feature information based on the face recognition can be subjected to pre-verification, for example, the face feature information is matched with the face feature information collected during the pre-stored ticket purchasing, so that the pre-verification is performed on the users waiting to pass who are queued up, the time of the users staying in the passing channel is reduced, and the verification efficiency can be improved.

By the mode, the verification equipment is fully utilized, the target image acquired by the verification equipment is effectively utilized, the functions of the verification equipment are enriched, and the verification equipment has the functions of searching and alarming the specific target object.

EXAMPLE III

Referring to fig. 3a, a flow chart of steps of a data processing method according to a third embodiment of the present invention is shown.

The data processing method of the present embodiment includes the foregoing steps S102 to S108, and may include steps S110 to S114 as necessary. Wherein, step S102 may adopt any of the foregoing implementation manners. Step S104 may include substeps S1041 to substep S1043.

Substep S1041: and determining the number of the users to be passed corresponding to the passage channel according to the recognition result of the image recognition of the image of the verification area.

In this embodiment, the number of the passing lanes is multiple, and the verification area includes queuing areas corresponding to the multiple passing lanes. The queuing area refers to an area except for a traffic channel in the verification area. And queuing the user to be passed in the queuing area to wait for entering the passage channel for verification.

In a specific implementation, the sub-step S1041 may be implemented as: performing face recognition on the image of the verification area to obtain the face in the queuing area and the position information of the face; and determining the number of the users to be passed corresponding to the passing channels according to the position information of the face and the position information of the passing channels.

For the spliced images of the verification area, the face contained in the images of the verification area and the position information of each face can be determined by face recognition.

And determining the passing channel to which each face belongs according to the position information of the face and the position information of each passing channel, so as to determine the number of the users to pass corresponding to each passing channel.

The position information of the passage may be preset, or may be determined by image recognition or the like, which is not limited in this embodiment. Taking the traffic lane 1 as an example, the traffic lane 1 is a quadrilateral, and the position information of the traffic lane 1 is coordinates of four vertices, namely a (x1, y1), B (x2, y2), C (x3, y3) and D (x4, y4), so that the position information of the queuing area I corresponding to the traffic lane 1 can be determined according to the position information of the traffic lane 1 and the length and width of the image of the verification area, and further, the face overlapping with the queuing area I is determined to be the user to be passed corresponding to the traffic lane 1 according to the position information of each face.

Substep S1042: and determining the verification efficiency of the verification equipment corresponding to the passage channel according to the passage data in the set time period.

In the embodiment, the passage data includes user data of the passage user, and the user data includes user passage time, for example, the user passage time of the user a is (st1, et1), which indicates that the user a is collected with the voucher data at the time st1 and leaves the passage channel at the time et 1.

The verification efficiency of the verification equipment for controlling the passing channel can be determined according to the passing time of the user. The verification efficiency indicates the number of users actually verified in a unit time period, which may be 1 minute, 5 minutes, 10 minutes, or the like.

Substep S1043: and determining the traffic state information according to the number of the users to be traffic and the checking efficiency.

In one specific implementation, the sub-step S1043 includes:

substep I: and determining the maximum verification efficiency of the verification equipment according to the verification efficiency of the verification equipment corresponding to the plurality of passage channels.

As shown in fig. 3b, the maximum verification efficiency can be determined from the verification efficiencies of the plurality of verification devices, such as the verification efficiency of the verification device corresponding to the traffic lane 3 in fig. 3b is the highest.

And (II) sub-step: and determining the traffic state information corresponding to the traffic channel according to the maximum verification efficiency, the number of the users to be passed and the verification efficiency of the verification equipment.

Since the verification efficiency of the verification device is related to not only whether the verification device is faulty or not, but also the number of passing users waiting to pass in line, the passing state information of the passing passage should comprehensively consider the verification efficiency of the verification device and the number of the users waiting to pass. Based on this, in a specific implementation, sub-step II comprises process a and/or process B.

Process A: and determining first traffic state information for indicating equipment abnormality aiming at a traffic channel corresponding to the abnormal verification equipment meeting the first abnormal condition.

The first abnormal condition comprises that the number of the users to pass is larger than the actual verification number indicated by the verification efficiency, and the verification efficiency is smaller than the maximum verification efficiency.

If the verification efficiency of the corresponding verification device is smaller than the maximum verification efficiency aiming at a certain passing channel, the fact that the verification device is not operated in full load is shown, the reason of the situation can be caused by the fact that the verification device is in failure, or the number of the users waiting to pass in line is small, therefore, if the number of the users waiting to pass is larger than the actual verification number indicated by the verification efficiency, the fact that the verification device is in failure is shown, the verification efficiency is too low is shown, and first passing state information used for indicating the device abnormality is determined based on the fact.

And a process B: and determining second traffic state information used for indicating traffic jam aiming at the traffic channel corresponding to the abnormal verification equipment meeting the second abnormal condition.

The second abnormal condition comprises that the number of the users to pass is larger than the actual verification number indicated by the verification efficiency, and the verification efficiency is equal to the maximum verification efficiency.

If the verification efficiency of the corresponding verification equipment is equal to the maximum verification efficiency for a certain passing channel, the full-load operation of the verification equipment is represented, the verification efficiency of the verification equipment is not improved, and if the number of the users waiting to pass in the passing channel in line is larger than the actual verification number indicated by the verification efficiency, the number of the users waiting to pass is represented to be too many, so that second passing state information used for indicating passing congestion is determined.

Of course, if it is determined that the traffic channel is not congested and the checking device is not in fault according to the maximum checking efficiency, the number of the users to be passed and the checking efficiency of the checking device, the third traffic state information for indicating normal traffic can be determined.

For the aforementioned different traffic state information, the corresponding traffic guidance information may be determined in step S106. For example, in the present embodiment, step S106 may be implemented as: and determining a guide channel according to the first traffic state information and/or the second traffic state information, and generating traffic guide information for guiding the user to be passed to the guide channel.

In order to shorten the waiting time, when it is determined that the traffic channel is abnormal, one of the other normal traffic channels may be selected as a guidance channel, and traffic guidance information for guiding the user to be passed to the guidance channel is generated.

For example, the first traffic status information indicates that the verification device b corresponding to the traffic lane 2 may have a fault. For example, the verification device b itself is damaged and fails, or the verification mode currently used by the verification device b is incorrect (for example, the users to be passed all use paper tickets as admission tickets, while the verification device b uses two-dimensional code verification, which results in that the users to be passed need to replace their admission tickets to pass the verification, resulting in an increase of the time spent by each user to be passed in the verification at the verification device b). Based on the first traffic state information, it is determined that there is no abnormality in the traffic lane 1 among the remaining traffic lanes, the traffic lane 1 may be determined as a guidance lane, and traffic guidance information (e.g., "please queue to lane 1", "equipment failure, please queue to lane 1", etc.) for guiding the user to the traffic lane 1 is determined.

After the passage guidance information is subsequently sent to the verification device b, the first indicating device of the verification device b can display the passage guidance information, so that the user to be passed spontaneously queues up to other passage channels.

For another example, if the second traffic state information indicates that the traffic lane 3 is congested, the traffic lane 4 is determined as a guidance lane from among other traffic lanes without abnormality based on the second traffic state information, and traffic guidance information (such as "please queue to lane 4") for guiding the user to be traveled to the traffic lane 4 is generated. Then, the passing guide information is subsequently sent to the verification device c corresponding to the passing channel 3, and the verification device c controls the first indicating device to display the passing guide information for guiding the user to pass to queue in the passing channel 4. In this way, the user to be passed on the passage 3 can autonomously queue up to other passage.

Optionally, in order to enable the staff member to timely know the conditions of the pass lanes and the verification devices corresponding to the pass lanes, the data processing method may further include step S116 and/or step S118 to determine the verification status information and send the verification status information to the verification devices. The verification device also comprises a second indicating device, wherein the second indicating device faces to the exit of the passage channel and is mainly used for displaying verification state information to workers.

Step S116: and sending verification state information used for indicating equipment faults to verification equipment corresponding to the first passing state information so that a second indicating device of the verification equipment displays according to the verification state information.

For example, the first traffic state information indicates that the check device b corresponding to the traffic lane 2 has a fault, so that the check state information indicating the fault of the device is generated based on the first traffic state information, and the check state information is sent to the check device b, so that the check device b controls the second indicating device to display a prompt content (such as "device fault") to inform a worker that the check device b may have the fault, so that the worker maintains the check device b and guides the user to be passed through of the traffic lane 2.

Step S118: and sending verification state information used for indicating channel congestion to verification equipment corresponding to the second access state information so that a second indicating device of the verification equipment displays according to the verification state information.

For example, the second traffic status information indicates that the traffic lane 3 is congested, and based on the second traffic status information, verification status information indicating that the traffic lane is congested is generated, and the verification status information is sent to the verification device c corresponding to the traffic lane 3, so that the verification device c controls the second indication device thereof to display prompt content (such as "lane congestion") to inform a worker that too many users waiting for traffic in the traffic lane 3 need to be guided by the worker.

By the data processing method, the server is used for acquiring the data of each single checking device and analyzing the data, so that the problems that the single checking device operates independently and cannot form a system and the checking device cannot be comprehensively managed in the prior art are solved. In addition, the data are gathered and processed through the server, the defect that the existing check equipment has no system analysis when the data are used by a single machine is overcome, the digitization of the use environment is realized, the conversion of similar use scenes can be realized more conveniently, the data precipitation is realized, the data of the precipitation can be compared and analyzed subsequently, and a configuration and management strategy is provided for the subsequent scenes.

And the traffic state information is determined based on the analysis result of the server, and the verification equipment controls the first indicating device and/or the second indicating device according to the traffic state information, so that the verification equipment can carry out intelligent control and verification, and the problems of high cost and non-intelligence caused by the fact that the operation of the verification equipment in the prior art depends on manpower excessively are solved.

Example four

Referring to fig. 4, a flowchart illustrating steps of a data processing method according to a fourth embodiment of the present invention is shown.

In the present embodiment, the data processing method includes the aforementioned steps S102 to S108. The data processing method further includes a step S120 to a step S122.

Step S120: and receiving a calling request of the terminal equipment to a preset data transmission interface.

In this embodiment, the server is configured with a data transmission interface, and the data transmission interface can be called by the terminal device to request the required data. Therefore, the staff or other authorized users can acquire the required data through the data transmission interface according to the requirements and present the data through the terminal equipment, so as to realize the visual presentation of the data.

Step S122: and sending the data requested by the calling request to the terminal equipment according to the calling request.

The data requested by the invocation request includes at least one of the traffic data, the image of the verification area, and the analysis result.

By configuring the data transmission interface, the verification is ecologized, the problem that the verification system is too closed is avoided, the functions of the verification system can be enriched, and the operation and maintenance cost is reduced.

The terminal device can be a display screen configured in a venue or a terminal device (such as a mobile phone, a PAD and the like) used by staff in the venue, the terminal device requests the server for the required data through the data transmission interface and displays the requested data on the display screen, so that data visualization is realized, and the displayed data can also guide the user to be passed, the staff and the like, so that the verification efficiency is higher.

In addition, images, traffic data and the like in the verification area can be visually displayed through the terminal equipment, and the openness degree of the verification system is improved.

EXAMPLE five

Referring to fig. 5a, a block diagram of a verification system according to a fifth embodiment of the present invention is shown.

In this embodiment, the verification system includes: the system comprises a server and verification equipment, wherein the server is in communication connection with the verification equipment; the server is used for acquiring an image of a verification area where the verification equipment is located and traffic data of a traffic channel controlled by the verification equipment, analyzing the image of the verification area and the traffic data, determining traffic state data according to an analysis result, and determining traffic guide information for guiding a user to be passed according to the traffic state information; sending the traffic guidance information to the corresponding verification equipment; and the verification equipment is used for controlling the first indicating device to display according to the traffic guide information.

In this embodiment, the server may execute the data processing method described above to gather and analyze the data of the check device, so as to implement intelligent and digital check, for example, an image acquisition device of the check device acquires a target image and traffic data of a traffic channel controlled by the check device, and performs real-time analysis and processing on the target image and the traffic data, thereby implementing digital entry check of a venue, and the check data is stored in the server and processed by the server, so that the check device may be more lightweight, and multi-scene entry check may be implemented.

The server can be in communication connection with the verification equipment of a plurality of different venues, so that the integrity of the verification system is better.

Optionally, the verification system further includes a terminal device, the terminal device is in communication connection with the server, and the terminal device is configured to obtain and display the analysis results corresponding to the multiple passing channels from the server.

The terminal device can be a display screen or a mobile phone, a PAD and the like, and can acquire the image of the verification area from the service end and analyze the image of the verification area and the traffic data of the traffic channel in real time. The terminal equipment can display the image, the analysis result and the like of the requested verification area, and the visualization of data is realized, so that the user and the staff to be passed can visually and conveniently see the data.

Optionally, in this embodiment, the verification apparatus further includes a third indicating device, and the verification apparatus is further configured to control the third indicating device to display new guidance content according to the received operation.

The third indicating device can be a display board arranged on a gate roller of the verification equipment, and the guide content displayed by the display board can be controlled by the verification equipment, so that the guide content displayed by the display board can be conveniently replaced by a worker as required, the cost is reduced while the guide of the user to be passed is realized, and paperless effect is realized.

As shown in fig. 5b, the verification apparatus includes a support 10, a verification main body 20, a first expansion assembly and a second expansion assembly. The verification main body 20 is disposed on the support 10 and can rotate relative to the support 10, thereby changing the passing direction of the passage controlled by the verification device.

The supporting part comprises a supporting stand column and a brake roller control mechanism, and the brake roller control mechanism is arranged at the top end of the supporting stand column. The gate roller 50 is connected to the gate roller control mechanism, and on-off control of the passage is realized according to the control of the gate roller control mechanism.

The verification main body 20 includes a housing, a two-dimensional code verification unit, and a radio frequency verification unit. The shell is arranged on the supporting part 10, when the entrance and the exit of the passage channel need to be exchanged, the shell is lifted, and then the shell is rotated, so that the two-dimensional code verification unit and the radio frequency verification unit on the shell rotate 180 degrees along with the two-dimensional code verification unit and the radio frequency verification unit, and the switching from the entrance to the exit of the passage channel is completed.

The two-dimensional code checking unit is used for collecting and identifying the two-dimensional code so as to check. The radio frequency verification unit can collect and identify radio frequency information of certificates and the like.

The first expansion assembly is detachably attached to the housing for expanding the functionality of the verification main body 20. The first extension assembly comprises a vertical rod 381, a first indication device 382a and a second indication device (the second indication device is located at the back of the first indication device 382a, so that the illustration is omitted), an image acquisition device 383 and the like, wherein the first indication device 382a and the second indication device are arranged at the top of the vertical rod 381.

The image capturing device 383 is used for capturing a target image.

The first expansion assembly can be further provided with a first face recognition unit, a first display screen, a second display screen and the like. The first face recognition unit is used for collecting face images of users to be passed and recognizing the face images so as to determine whether the users have passing authority. The first display screen is connected with the first face recognition unit and used for displaying the face image collected by the first face recognition unit. The second display screen is arranged on the back of the first display screen, faces to a worker, and is used for displaying the face image collected by the first face recognition unit to the worker, or displaying a control interface of the verification device to the worker, and also receiving the operation of the worker, so that the worker can control the verification device.

A second expansion member (not shown) is detachably provided on the upper surface of the housing for expanding the function of the verification main body 20. The second expansion component comprises a printing unit, a second face recognition unit and a third display screen. The printing unit is used for printing receipts and other vouchers. The second face recognition unit 391 is configured to collect a face image, so as to check the authority of the user to be passed through. The third display screen is connected with the second face recognition unit and used for displaying the face image collected by the second face recognition unit.

Through the intelligent check equipment, the check of leaving and entering can be more digital and intelligent, and the defect of single-point type work of the check equipment in the prior art is overcome. The offline intelligent verification equipment is integrated with the server side, and a closed loop and server side solution for intelligent digital verification entrance is established. The verification system allows access and data transmission of other intelligent hardware equipment, and light weight can be achieved.

The intelligent feedback and data visual presentation of the verification equipment can be realized through the server side. The first indicating device and the second indicating device on the verification equipment can display information, and the server side can analyze data of the incoming video to realize digital closed loop. The data transmission is more convenient by establishing the data transmission interface, and other terminal equipment can be accessed.

EXAMPLE six

Referring to fig. 6, a schematic structural diagram of a data processing apparatus according to a sixth embodiment of the present invention is shown.

In this embodiment, the data processing apparatus includes: an obtaining module 602, configured to obtain traffic data of a traffic channel in a set time period and an image of a verification area where verification equipment for controlling the traffic channel is located; the analysis module 604 is configured to analyze the image of the verification area and the traffic data, and determine traffic state information of the traffic channel according to an analysis result; a first determining module 606, configured to determine, according to the traffic state information, traffic guidance information for guiding a user to be passed; the first sending module 608 is configured to send the passage guidance information to the verification device corresponding to the passage channel, so that the first indicating device of the verification device displays according to the passage guidance information.

Optionally, the analysis module 604 comprises: a second determining module 6041, configured to determine, according to an identification result obtained by performing image identification on the image of the verification area, the number of users to be passed corresponding to the passage channel; a third determining module 6042, configured to determine, according to the passage data in the set time period, the verification efficiency of the verification device corresponding to the passage channel; a fourth determining module 6043, configured to determine the traffic status information according to the number of the users to be passed and the verification efficiency.

Optionally, the number of the passage channels is multiple, and the verification area includes a queuing area corresponding to the plurality of passage channels; the second determining module 6041 is configured to perform face recognition on the image of the verification area, and obtain a face in the queuing area and position information of the face; and determining the number of the users to be passed corresponding to the passing channels according to the position information of the face and the position information of the passing channels.

Optionally, the fourth determining module 6043 is configured to determine the maximum verification efficiency of the verification device according to the verification efficiencies of the verification devices corresponding to the multiple passing channels; and determining the traffic state information corresponding to the traffic channel according to the maximum verification efficiency, the number of the users to be passed and the verification efficiency of the verification equipment.

Optionally, the fourth determining module 6043 is configured to, when determining the traffic status information corresponding to the traffic channel according to the maximum verification efficiency, the number of the users to be passed and the verification efficiency of the verification device, determine, for the traffic channel corresponding to the abnormal verification device meeting a first abnormal condition, the first abnormal condition includes that the number of the users to be passed is greater than the actual verification number indicated by the verification efficiency, and the verification efficiency is less than the maximum verification efficiency, first traffic status information indicating device abnormality; and/or determining second traffic state information used for indicating traffic jam for traffic channels corresponding to abnormal verification equipment meeting second abnormal conditions, wherein the second abnormal conditions comprise that the number of users to be passed is larger than the actual verification number indicated by verification efficiency, and the verification efficiency is equal to the maximum verification efficiency.

Optionally, the first determining module 606 is configured to determine a guidance channel according to the first traffic state information and/or the second traffic state information, and generate traffic guidance information for guiding the user to be passed to the guidance channel.

Optionally, the apparatus further comprises: a first determining and sending module 610, configured to send verification status information used for indicating a device fault to a verification device corresponding to the first traffic status information, so that a second indication device of the verification device displays according to the verification status information; and/or, the second determining and sending module 612 is configured to send verification status information used for indicating channel congestion to the verification device corresponding to the second access status information, so that the second indicating device of the verification device displays according to the verification status information.

Optionally, the obtaining module 602 is configured to obtain, when obtaining an image of a verification area where the verification device is located, a target image collected by an image collection device of the verification device corresponding to the plurality of passage channels, where the target image includes at least part of the image of the verification area; and splicing the target images according to the relative position relation among the image acquisition regions corresponding to the target images, and obtaining the image of the verification region.

Optionally, the apparatus further comprises: the face recognition module 614 is configured to perform face recognition on the target image acquired by the image acquisition device, and obtain face feature information of the user to be passed in the target image; a face matching module 616, configured to match the face feature information with preset target face feature information, and determine whether the user to be passed includes a target object according to a matching result; and the alarm module 618 is configured to generate and send a prompt message if the target object is included.

Optionally, the apparatus further comprises: a receiving module 620, configured to receive a call request of a terminal device to a preset data transmission interface; a second sending module 622, configured to send, according to the invocation request, data requested by the invocation request to the terminal device, where the data requested by the invocation request includes at least one of the pass data, the image of the verification area, and the analysis result.

EXAMPLE seven

Referring to fig. 7, a schematic structural diagram of an electronic device according to a seventh embodiment of the present invention is shown, and the specific embodiment of the present invention does not limit the specific implementation of the electronic device.

As shown in fig. 7, the electronic device may include: a processor (processor)702, a Communications Interface 704, a memory 706, and a pass bus 708.

Wherein:

the processor 702, the pass interface 704, and the memory 706 are coupled to one another via a pass bus 708.

And a communication interface 704 for communicating with other electronic devices or servers.

The processor 702 is configured to execute the program 710, and may specifically execute relevant steps in the foregoing data processing method embodiments.

In particular, the program 710 may include program code that includes computer operating instructions.

The processor 702 may be a central processing unit CPU, or an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement an embodiment of the present invention. The intelligent device comprises one or more processors which can be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.

The memory 706 stores a program 710. The memory 706 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.

The program 710 may specifically be used to cause the processor 702 to perform the following operations: acquiring traffic data of a traffic channel in a set time period and an image of a verification area where verification equipment for controlling the traffic channel is located; analyzing the image of the verification area and the traffic data, and determining traffic state information of the traffic channel according to an analysis result; determining passing guide information for guiding a user to pass according to the passing state information; and sending the passing guide information to verification equipment corresponding to the passing channel so that a first indicating device of the verification equipment displays according to the passing guide information.

In an optional implementation manner, the program 710 is further configured to enable the processor 702 to determine, when analyzing the image of the verification area and the traffic data and determining the traffic state information of the traffic channel according to the analysis result, the number of the users to be passed corresponding to the traffic channel according to the recognition result of performing image recognition on the image of the verification area; determining the verification efficiency of verification equipment corresponding to the passage channel according to the passage data in the set time period; and determining the traffic state information according to the number of the users to be traffic and the checking efficiency.

In an optional embodiment, the number of the passage channels is multiple, and the verification area comprises queuing areas corresponding to the plurality of passage channels; the program 710 is further configured to enable the processor 702 to perform face recognition on the image of the verification area when the number of users to be passed corresponding to the passage channel is determined according to the recognition result of the image recognition performed on the image of the verification area, so as to obtain the face in the queuing area and the position information of the face; and determining the number of the users to be passed corresponding to the passing channels according to the position information of the face and the position information of the passing channels.

In an optional implementation manner, the program 710 is further configured to enable the processor 702 to determine the maximum verification efficiency of the verification device according to the verification efficiencies of the verification devices corresponding to the multiple passage channels when determining the passage state information according to the number and the verification efficiency of the users to be passed; and determining the traffic state information corresponding to the traffic channel according to the maximum verification efficiency, the number of the users to be passed and the verification efficiency of the verification equipment.

In an optional implementation, the program 710 is further configured to, when determining the traffic status information corresponding to the traffic lane according to the maximum verification efficiency, the number of the users to be passed, and the verification efficiency of the verification device, determine first traffic status information indicating device abnormality for the traffic lane corresponding to the abnormal verification device meeting a first abnormal condition, where the first abnormal condition includes that the number of the users to be passed is greater than the actual number of verification persons indicated by the verification efficiency, and the verification efficiency is less than the maximum verification efficiency; and/or determining second traffic state information used for indicating traffic jam for traffic channels corresponding to abnormal verification equipment meeting second abnormal conditions, wherein the second abnormal conditions comprise that the number of users to be passed is larger than the actual verification number indicated by verification efficiency, and the verification efficiency is equal to the maximum verification efficiency.

In an optional embodiment, the program 710 is further configured to, when determining the traffic guidance information for guiding the user to be traveled according to the traffic state information, determine a guidance channel according to the first traffic state information and/or the second traffic state information, and generate traffic guidance information for guiding the user to be traveled to the guidance channel.

In an optional implementation, the program 710 is further configured to enable the processor 702 to send verification status information for indicating a device fault to a verification device corresponding to the first traffic status information, so that the second indication device of the verification device displays according to the verification status information; and/or sending verification state information used for indicating channel congestion to verification equipment corresponding to the second access state information so that a second indicating device of the verification equipment displays according to the verification state information.

In an optional implementation manner, the program 710 is further configured to, when acquiring an image of an inspection area where an inspection device is located, the processor 702 acquires a target image acquired by an image acquisition device of the inspection device corresponding to a plurality of the passing lanes, where the target image includes at least part of the image of the inspection area; and splicing the target images according to the relative position relation among the image acquisition regions corresponding to the target images, and obtaining the image of the verification region.

In an optional implementation manner, the program 710 is further configured to enable the processor 702 to perform face recognition on a target image acquired by the image acquisition apparatus, and obtain face feature information of a user to be passed included in the target image; matching the face feature information with preset target face feature information, and determining whether the user to be passed contains a target object according to a matching result; and if the target object is contained, generating and sending a prompt message.

In an optional implementation manner, the program 710 is further configured to enable the processor 702 to receive a call request of a terminal device to a preset data transmission interface; and sending data requested by the calling request to the terminal equipment according to the calling request, wherein the data requested by the calling request comprises at least one of the traffic data, the image of the verification area and the analysis result.

For specific implementation of each step in the program 710, reference may be made to corresponding steps and corresponding descriptions in units in the foregoing data processing method embodiments, which are not described herein again. It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described devices and modules may refer to the corresponding process descriptions in the foregoing method embodiments, and are not described herein again.

It should be noted that, according to the implementation requirement, each component/step described in the embodiment of the present invention may be divided into more components/steps, and two or more components/steps or partial operations of the components/steps may also be combined into a new component/step to achieve the purpose of the embodiment of the present invention.

The above-described method according to an embodiment of the present invention may be implemented in hardware, firmware, or as software or computer code storable in a recording medium such as a CD ROM, a RAM, a floppy disk, a hard disk, or a magneto-optical disk, or as computer code originally stored in a remote recording medium or a non-transitory machine-readable medium downloaded through a network and to be stored in a local recording medium, so that the method described herein may be stored in such software processing on a recording medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware such as an ASIC or FPGA. It will be appreciated that the computer, processor, microprocessor controller or programmable hardware includes memory components (e.g., RAM, ROM, flash memory, etc.) that can store or receive software or computer code that, when accessed and executed by the computer, processor or hardware, implements the data processing methods described herein. Further, when a general-purpose computer accesses code for implementing the data processing method shown herein, execution of the code converts the general-purpose computer into a special-purpose computer for executing the data processing method shown herein.

Those of ordinary skill in the art will appreciate that the various illustrative elements and method steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present embodiments.

The above embodiments are only for illustrating the embodiments of the present invention and not for limiting the embodiments of the present invention, and those skilled in the art can make various changes and modifications without departing from the spirit and scope of the embodiments of the present invention, so that all equivalent technical solutions also belong to the scope of the embodiments of the present invention, and the scope of patent protection of the embodiments of the present invention should be defined by the claims.

Claims

1. A method of data processing, comprising:

acquiring traffic data of a traffic channel in a set time period and an image of a verification area where verification equipment for controlling the traffic channel is located;

analyzing the image of the verification area and the traffic data, and determining traffic state information of the traffic channel according to an analysis result;

determining passing guide information for guiding a user to pass according to the passing state information;

and sending the passing guide information to verification equipment corresponding to the passing channel so that a first indicating device of the verification equipment displays according to the passing guide information.

2. The method of claim 1, wherein analyzing the image of the verification area and the traffic data and determining traffic status information of the traffic lane according to the analysis result comprises:

determining the number of users to be passed corresponding to the passage channel according to the recognition result of image recognition of the image of the verification area;

determining the verification efficiency of verification equipment corresponding to the passage channel according to the passage data in the set time period;

and determining the traffic state information according to the number of the users to be traffic and the checking efficiency.

3. The method of claim 2, wherein the transit passage is plural, the verification area comprising a queuing area corresponding to the plural transit passages;

determining the number of the users to pass corresponding to the passing channel according to the recognition result of the image recognition of the image of the verification area, wherein the method comprises the following steps:

performing face recognition on the image of the verification area to obtain the face in the queuing area and the position information of the face;

and determining the number of the users to be passed corresponding to the passing channels according to the position information of the face and the position information of the passing channels.

4. The method of claim 2, wherein determining the traffic status information according to the number of the users to be traffic and the verification efficiency comprises:

determining the maximum verification efficiency of the verification equipment according to the verification efficiency of the verification equipment corresponding to the plurality of passing channels;

and determining the traffic state information corresponding to the traffic channel according to the maximum verification efficiency, the number of the users to be passed and the verification efficiency of the verification equipment.

5. The method according to claim 4, wherein determining the traffic state information corresponding to the traffic channel according to the maximum verification efficiency, the number of the users to be passed and the verification efficiency of the verification device comprises:

determining first traffic state information for indicating equipment abnormality aiming at a traffic channel corresponding to abnormal checking equipment meeting a first abnormal condition, wherein the first abnormal condition comprises that the number of users to be passed is larger than the actual checking number indicated by checking efficiency, and the checking efficiency is smaller than the maximum checking efficiency;

and/or the presence of a gas in the gas,

and determining second traffic state information for indicating traffic jam aiming at traffic channels corresponding to abnormal verification equipment meeting second abnormal conditions, wherein the second abnormal conditions comprise that the number of users to be passed is greater than the actual verification number indicated by verification efficiency, and the verification efficiency is equal to the maximum verification efficiency.

6. The method of claim 5, wherein the determining, according to the traffic state information, traffic guidance information for guiding the user to be passed comprises:

and determining a guide channel according to the first traffic state information and/or the second traffic state information, and generating traffic guide information for guiding the user to be passed to the guide channel.

7. The method of claim 5, wherein the method further comprises:

sending verification state information used for indicating equipment faults to verification equipment corresponding to the first passing state information so that a second indicating device of the verification equipment displays according to the verification state information;

and/or the presence of a gas in the gas,

and sending verification state information used for indicating channel congestion to verification equipment corresponding to the second access state information so that a second indicating device of the verification equipment displays according to the verification state information.

8. The method of claim 1, wherein the obtaining an image of a verification area in which verification equipment is located comprises:

acquiring target images acquired by image acquisition devices of the checking equipment corresponding to the plurality of passing channels, wherein the target images comprise at least partial images of the checking areas;

and splicing the target images according to the relative position relation among the image acquisition regions corresponding to the target images, and obtaining the image of the verification region.

9. The method of claim 8, wherein the method further comprises:

carrying out face recognition on a target image acquired by the image acquisition device, and acquiring face feature information of a user to be passed in the target image;

matching the face feature information with preset target face feature information, and determining whether the user to be passed contains a target object according to a matching result;

and if the target object is contained, generating and sending a prompt message.

10. The method of claim 1, wherein the method further comprises:

receiving a calling request of a terminal device to a preset data transmission interface;

and sending data requested by the calling request to the terminal equipment according to the calling request, wherein the data requested by the calling request comprises at least one of the traffic data, the image of the verification area and the analysis result.

11. A verification system, comprising: the system comprises a server and verification equipment, wherein the server is in communication connection with the verification equipment;

the server is used for acquiring an image of a verification area where the verification equipment is located and traffic data of a traffic channel controlled by the verification equipment, analyzing the image of the verification area and the traffic data, determining traffic state data according to an analysis result, and determining traffic guide information for guiding a user to be passed according to the traffic state information; sending the traffic guidance information to the corresponding verification equipment;

and the verification equipment is used for controlling the first indicating device to display according to the passing guide information.

12. The inspection system of claim 11, wherein the inspection system further comprises a terminal device, the terminal device is in communication connection with the server, and the terminal device is configured to obtain and display analysis results corresponding to a plurality of traffic lanes from the server.

13. A verification system according to claim 11, wherein the verification device further comprises third indication means, the verification device being further adapted to control the third indication means to display new guidance content in accordance with the received operation.

14. A data processing apparatus comprising:

the system comprises an acquisition module, a verification module and a verification module, wherein the acquisition module is used for acquiring the traffic data of a traffic channel in a set time period and an image of a verification area where verification equipment for controlling the traffic channel is located;

the analysis module is used for analyzing the images of the verification areas and the traffic data and determining traffic state information of the traffic channel according to an analysis result;

the first determining module is used for determining the passing guide information for guiding the user to pass according to the passing state information;

and the sending module is used for sending the traffic guide information to the verification equipment corresponding to the traffic channel so as to display the first indicating device of the verification equipment according to the traffic guide information.

15. An electronic device, comprising: the device comprises a processor, a memory, a pass interface and a pass bus, wherein the processor, the memory and the pass interface complete mutual passing through the pass bus;

the memory is used for storing at least one executable instruction, and the executable instruction causes the processor to execute the corresponding operation of the data processing method according to any one of claims 1-10.

16. A computer storage medium, on which a computer program is stored which, when being executed by a processor, carries out the data processing method of any one of claims 1 to 10.