CN112785769A - Queuing and calling management method and device based on face recognition and electronic equipment - Google Patents
Queuing and calling management method and device based on face recognition and electronic equipment Download PDFInfo
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- CN112785769A CN112785769A CN202011641614.XA CN202011641614A CN112785769A CN 112785769 A CN112785769 A CN 112785769A CN 202011641614 A CN202011641614 A CN 202011641614A CN 112785769 A CN112785769 A CN 112785769A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C11/00—Arrangements, systems or apparatus for checking, e.g. the occurrence of a condition, not provided for elsewhere
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
- G06T2207/30201—Face
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C11/00—Arrangements, systems or apparatus for checking, e.g. the occurrence of a condition, not provided for elsewhere
- G07C2011/04—Arrangements, systems or apparatus for checking, e.g. the occurrence of a condition, not provided for elsewhere related to queuing systems
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Abstract
The embodiment of the invention provides a queuing management method based on face recognition, which comprises the following steps: acquiring a face image and a number-taking number of a target visitor during number taking, and binding the face image and the number-taking number of the target visitor; acquiring a human body image of a target visitor, and tracking the target visitor through the human body image of the target visitor to obtain a tracking track of the target visitor; adding the number-taking number of the target visitor into a queuing number queue, and calculating the expected queuing time of the target visitor in real time according to the number-taking number of the target visitor; judging whether the target visitor leaves the service hall or not according to the tracking track of the target visitor; if the target visitor leaves the service hall, the number fetching number of the target visitor is removed from the queuing number queue, and the expected queuing time of the number fetching number behind the number fetching number of the target visitor in the queuing number queue is recalculated. The waiting time of other visitor personnel is reduced, and the work efficiency of the service hall is improved.
Description
Technical Field
The invention relates to the field of artificial intelligence, in particular to a queuing and calling management method and device based on face recognition, electronic equipment and a storage medium.
Background
The service hall generally needs to handle more services for the visitors, such as a banking hall, a government hall, etc., and the service hall often has a large number of visitors who need to queue up numbers to keep the order of the service hall. However, in the process of queuing the visitor, the visitor may leave the service hall due to long waiting time or emergency, but for the service system, it is not known which visitor leaves specifically, and therefore, after the visitor leaves, the number taken by the visitor is still notified by the service system, and until no one answers for a certain time, the next number is not notified, which not only increases the waiting time of the subsequent visitor, but also reduces the working efficiency of the service hall.
Disclosure of Invention
The embodiment of the invention provides a queuing and number calling management method based on face recognition, which can be used for binding a face image and a number-taking number of a target visitor when the target visitor takes a number, tracking the target visitor according to a human image of the target visitor, judging whether the target visitor leaves a service hall in advance according to a tracking track of the target visitor, removing the number-taking number of the target visitor from a queuing number under the condition that the target visitor leaves the service hall, and avoiding reporting the leaving target visitor, thereby reducing the waiting time of other visitor personnel and improving the handling efficiency of the service hall.
In a first aspect, an embodiment of the present invention provides a queuing and number-calling management method based on face recognition, where the method is used for queuing and number-calling management of a service hall, and the method includes:
acquiring a face image and a number-taking number of a target visitor during number taking, and binding the face image and the number-taking number of the target visitor;
acquiring a human body image of the target visitor, tracking the target visitor through the human body image of the target visitor to obtain a tracking track of the target visitor, and associating the human body image of the target visitor with the human face image of the target visitor through the same identifier;
adding the number-taking number of the target visitor into a queuing number queue, and calculating the expected queuing time of the target visitor in real time according to the number-taking number of the target visitor;
judging whether the target visitor leaves the service hall or not according to the tracking track of the target visitor;
and if the target visitor leaves the service hall, removing the number-taking number of the target visitor from the queuing number queue, and recalculating the expected queuing time of the number-taking number in the queuing number queue after the number-taking number of the target visitor.
Optionally, the determining, according to the tracking track of the target visitor, whether the target visitor leaves the service hall includes:
judging whether the target visitor disappears from a doorway area of the service hall or not according to the tracking track of the target visitor, and judging whether the target visitor reappears within a first preset time or not;
if the target visitor disappears from the entrance area of the service hall and does not reappear within the first preset time, determining that the target visitor leaves the service hall;
and if the target visitor disappears from the doorway area of the service hall and reappears within the first predicted time, determining that the target visitor does not leave the service hall.
Optionally, the method further includes:
judging whether the target visitor has an intention of leaving the service hall or not according to the tracking track of the target visitor;
if the target visitor has the intention of leaving the service hall, acquiring the expected queuing time of the target visitor;
if the predicted queuing time of the target visitor is less than or equal to a second preset time, performing a first queuing prompt to the target visitor;
and if the predicted queuing time of the target visitor is greater than a second preset time, performing a second queuing prompt on the target visitor.
Optionally, the determining, according to the tracking track of the target visitor, whether the target visitor has an intention of leaving the service hall includes:
judging whether the target visitor passes through a preset hesitation area or not according to the tracking track of the target visitor, wherein the hesitation area is arranged on the inner side of a doorway of the service hall;
and if the target visitor passes through the preset hesitation area, determining that the target visitor has the intention of leaving the service hall.
Optionally, if the expected queuing time of the target guest is less than or equal to a second preset time, performing a first queuing prompt to the target guest, including:
and if the expected queuing time of the target visitor is less than or equal to second preset time, generating a first queuing prompt according to the number taking number of the target visitor and the expected queuing time.
Optionally, before removing the number-taking number of the target guest from the queuing number queue, the method further includes:
judging whether the service hall contains the fellow persons of the target visitor or not;
if the service hall contains the fellow persons of the target visitor, the number-taking number of the target visitor is reserved in the queuing number queue;
and if the service hall does not contain the members of the same group of the target visitor, removing the number-taking number of the target visitor from the queuing number queue.
Optionally, the determining whether the service hall contains the fellow persons of the target visitor includes:
acquiring a snapshot image of the target visitor during number fetching, and detecting whether the snapshot image comprises other people except the target visitor through a human body detection network;
if the snapshot image comprises the other people, calculating the social distance between the target visitor and the other people;
and judging whether the other people comprise the fellow people of the target visitor or not according to the social distance between the target visitor and the other people.
In a second aspect, an embodiment of the present invention further provides a queuing and number-calling management device based on face recognition, where the queuing and number-calling management device is used in a service hall, and the device includes:
the first acquisition module is used for acquiring a face image and a number-taking number of a target visitor during number taking and binding the face image and the number-taking number of the target visitor;
the second acquisition module is used for acquiring a human body image of the target visitor, tracking the target visitor through the human body image of the target visitor to obtain a tracking track of the target visitor, and associating the human body image of the target visitor with the human face image of the target visitor through the same identifier;
the calculation module is used for adding the number-taking number of the target visitor into a queuing number queue and calculating the expected queuing time of the target visitor in real time according to the number-taking number of the target visitor;
the first judgment module is used for judging whether the target visitor leaves the service hall or not according to the tracking track of the target visitor;
and the removing module is used for removing the number-taking number of the target visitor from the queuing number queue if the target visitor leaves the service hall, and recalculating the expected queuing time of the number-taking number in the queuing number queue after the number-taking number of the target visitor.
In a third aspect, an embodiment of the present invention provides an electronic device, including: the queuing and number-calling management method based on the face recognition comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the computer program to realize the steps of the queuing and number-calling management method based on the face recognition.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps in the queuing and calling management method based on face recognition provided by the embodiment of the present invention are implemented.
In the embodiment of the invention, a face image and a number-taking number of a target visitor during number-taking are obtained, and the face image and the number-taking number of the target visitor are bound; acquiring a human body image of the target visitor, tracking the target visitor through the human body image of the target visitor to obtain a tracking track of the target visitor, and associating the human body image of the target visitor with the human face image of the target visitor through the same identifier; adding the number-taking number of the target visitor into a queuing number queue, and calculating the expected queuing time of the target visitor in real time according to the number-taking number of the target visitor; judging whether the target visitor leaves the service hall or not according to the tracking track of the target visitor; and if the target visitor leaves the service hall, removing the number-taking number of the target visitor from the queuing number queue, and recalculating the expected queuing time of the number-taking number in the queuing number queue after the number-taking number of the target visitor. The number taking method has the advantages that when a target visitor takes a number, the human face image of the target visitor is bound with the number taking number, the target visitor is tracked according to the human body image of the target visitor, whether the target visitor leaves a service hall in advance or not is judged according to the tracking track of the target visitor, the number taking number of the target visitor is removed from a queuing number under the condition that the target visitor leaves the service hall, the target visitor who leaves the service hall is not required to be notified, waiting time of other visitor personnel is reduced, and work efficiency of the service hall is improved.
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 of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a queuing and calling management method based on face recognition according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for determining whether a visitor leaves a service hall according to an embodiment of the present invention;
fig. 3 is a flowchart of a method for determining an intention of a target visitor to leave a service lobby according to an embodiment of the present invention;
fig. 4 is a flowchart of another queuing and calling management method based on face recognition according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a queuing and calling management device based on face recognition according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a first determining module according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of another queuing and calling management device based on face recognition according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a second determining module according to an embodiment of the present invention;
fig. 9 is a schematic structural diagram of another queuing and calling management device based on face recognition according to an embodiment of the present invention;
fig. 10 is a schematic structural diagram of a third determining module according to an embodiment of the present invention;
fig. 11 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below 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 of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a flowchart of a queuing and calling management method based on face recognition according to an embodiment of the present invention, which is used for queuing and calling management of a service hall, and as shown in fig. 1, the method includes the following steps:
101. and acquiring a face image and a number-taking number of the target visitor during number taking, and binding the face image and the number-taking number of the target visitor.
In the embodiment of the present invention, the target visitor refers to a visitor handling a transaction from a service hall, which may be a bank hall, a government hall, a postal hall, or the like. When the number of visitors in the service hall is large, the target visitors transacting in the service hall can firstly go to the number fetching machine to fetch the number, and then queue according to the fetched number. Can take a candid photograph target visitor through first camera, above-mentioned first camera can be the camera that sets up alone on getting the number machine, also can the integrated camera that sets up on getting the number machine, and above-mentioned first camera is used for taking a candid photograph target visitor's people's face. The number-taking number can be obtained from a number-taking machine, and specifically, the number-taking machine records the number-taking number of each time, so as to print the corresponding number-taking number for the next visitor. When the target visitor performs number taking operation on the number taking machine, the first camera is awakened to take a snapshot of the target visitor, and at the moment, the number taking machine can determine the number taking number of the target visitor, so that the number taking number of the target person can be directly obtained from the number taking machine, and the face image of the target person is bound with the number taking number of the target person.
The face image of the target person can be obtained through the trained face detection model, the snapshot image of the target person is input into the trained face detection model, and the face image of the target person is output through the trained face detection model.
102. And acquiring a human body image of the target visitor, and tracking the target visitor through the human body image of the target visitor to obtain a tracking track of the target visitor.
In the embodiment of the invention, the human body image of the target visitor and the human face image of the target visitor are associated through the same identifier.
The human body image of the target passenger can be captured through the second camera, the second camera can be arranged above the service hall just opposite to the service hall, so that the global image of the service hall is captured, and all visitors in the service hall are tracked according to the global image of the service hall. The global image can be understood as a monitoring video stream of the service hall.
The human body image of the target visitor can be obtained through the trained human body detection model, and after human body detection is carried out through the human body detection model, the human body image of the target person can be detected and tracked frame by frame through the trained human body tracking model, so that the tracking track of the target visitor is obtained.
The human body image of the target visitor and the human face image of the target visitor can be associated through the tracking ID of the human body image.
103. And adding the number-taking number of the target visitor into the queuing number queue, and calculating the expected queuing time of the target visitor in real time according to the number-taking number of the target visitor.
In the embodiment of the invention, the number taking number of each visitor is added into the queuing number queue according to the serial number of the number, when one number taking number in the queuing number queue is reached, a notification prompt is carried out so that the visitor in a service hall knows which visitor is currently in turn to handle the transaction, and the number taking number which is prompted by the notification is removed from the queuing number queue.
And updating the expected queuing time in real time for the number-taking digits in the queuing number queue. The expected queuing time may be estimated according to the average transaction time, for example, the average deposit transaction time is 3 minutes, the expected queuing time of the target visitor is 90 minutes and the expected queuing time is 11 points and 40 points, assuming that the target visitor takes 10 points and 10 points, and 30 visitors are in queue, and if the target visitor leaves 3 visitors halfway, the expected queuing time of the target visitor is 9 minutes, that is, the expected queuing time of the target visitor is 81 minutes and the expected queuing time is 11 points and 31. In one possible embodiment, the expected queuing time may be updated for the number-taking digits in the queue number queue every time a guest transaction is concluded, for example, the average time for deposit transaction is 3 minutes, assuming that the target guest takes 10 o 'clock 10 minutes, the expected queuing time of the target guest is 90 minutes, and the expected queuing time is 11 o' clock 40, and when a guest transaction is concluded at 10 o 'clock 12, the expected queuing time of the target guest is 87 minutes, and the expected queuing time is 11 o' clock 39.
104. And judging whether the target visitor leaves the service hall or not according to the tracking track of the target visitor.
In the embodiment of the invention, the tracking track of the target visitor is the movement track of the target visitor in the service hall. When the tracking track of the target visitor disappears from the specific area of the service hall, it indicates that the target visitor leaves the service hall, for example, when the tracking track of the target visitor disappears from the doorway area of the service hall, it indicates that the target visitor leaves the service hall.
In some possible embodiments, the target visitor may only temporarily leave the service hall, such as answering a call or purchasing an item outside the service hall, and in this case, the target visitor may return to the service hall, and the temporary leaving time is generally short and does not exceed the queuing time.
Optionally, referring to fig. 2, fig. 2 is a flowchart of a method for determining whether a visitor leaves a service lobby according to an embodiment of the present invention, and as shown in fig. 2, the method includes the following steps:
201. and judging whether the target visitor disappears from the doorway area of the service hall or not according to the tracking track of the target visitor, and judging whether the target visitor reappears within a first preset time or not.
In an embodiment of the present invention, the doorway area of the service hall may be set at a doorway of the service hall, and the second camera may capture an image of the doorway area of the service hall.
And analyzing the tracking track of the target visitor in real time, and when the tracking track of the target visitor disappears in the entrance area of the service hall, indicating that the target visitor temporarily leaves the service hall. Whether the target guest leaves temporarily or abandons the transaction is determined by determining whether the target guest reappears within a first preset time. The first preset time may also be referred to as a hesitation period, and the first preset time may be set by a user, or may be determined according to an expected queuing time of the target visitor, for example, the first preset time may be 1/2, 1/3, 1/4, and the like of the expected queuing time of the target visitor, and specifically, the first preset time may be 45 minutes, 30 minutes, 22 minutes, 30 seconds, and the like, when the expected queuing time of the target visitor is 90 minutes.
In a possible embodiment, the first preset time may be determined according to an attribute of a target visitor, the attribute of the target visitor may be an age attribute, a gender attribute, or the like, and the attribute of the target visitor may be obtained through a face image of the target visitor, and the face image of the target visitor is input into a trained attribute recognition model to automatically recognize the attribute of the target visitor. After obtaining the attribute of the target visitor, the first preset time may be adjusted according to the attribute of the target visitor, for example, when the age of the target visitor is greater than a preset first age threshold, the first preset time may be set to 1/2 of the expected queuing time of the target visitor, when the age of the target visitor is greater than a preset second age threshold and less than the preset first age threshold, the first preset time may be set to 1/3 of the expected queuing time of the target visitor, and when the age of the target visitor is less than a preset third age threshold, the first preset time may be set to 1/4 of the expected queuing time of the target visitor. Set up like this, consider the age and be directly proportional with the patience degree of waiting, improve the higher visitor hesitation of patience degree to can improve user experience.
202. And if the target visitor disappears from the entrance area of the service hall and does not reappear within the first preset time, determining that the target visitor leaves the service hall.
In the embodiment of the invention, when the target visitor does not appear again within the first preset time, the target visitor can be indicated to leave the service hall and give up handling the transaction.
203. And if the target visitor disappears from the entrance area of the service hall and reappears within the first predicted time, determining that the target visitor does not leave the service hall.
In the embodiment of the present invention, when the target visitor appears again within the first preset time, it may be said that the target visitor leaves the service hall but does not give up handling the transaction, and may be regarded as not leaving the service hall.
In the embodiment of the invention, the first preset time is set, so that a hesitation time is set for the visitor leaving the service hall, the queuing qualification is prevented from being died immediately after the visitor leaves temporarily, and the user experience can be improved.
105. If the target visitor leaves the service hall, the number fetching number of the target visitor is removed from the queuing number queue, and the expected queuing time of the number fetching number behind the number fetching number of the target visitor in the queuing number queue is recalculated.
In the embodiment of the invention, after the target visitor leaves the service hall, the target visitor can be determined to give up handling the transaction in the service hall, and at the moment, the number fetching number of the target visitor can be removed from the queuing number queue, so that the target visitor is prevented from occupying the reporting resource and reporting time. After the number of the target visitor is removed from the queue number queue, the expected queuing time is recalculated for the other number of the queue number queue.
In a possible embodiment, the queue number queue may be displayed by a display device, for example, as: "XX, expected queue time 90 minutes, expected queue time 11 at 40". The visitor in the service hall and the visitor who leaves the service hall but is in the hesitation period can be displayed differently, and the time information of increasing the hesitation period for the visitor in the hesitation period can be displayed as follows: "XXX", the expected queuing time of 90 minutes, the expected queuing time of 11 o' clock 40, and the temporary leaving time of 10 minutes ", when the visitor in the hesitation period appears in the service hall again, the time information of the corresponding hesitation period is deleted in the display contents.
In the embodiment of the invention, a face image and a number-taking number of a target visitor during number-taking are obtained, and the face image and the number-taking number of the target visitor are bound; acquiring a human body image of the target visitor, tracking the target visitor through the human body image of the target visitor to obtain a tracking track of the target visitor, and associating the human body image of the target visitor with the human face image of the target visitor through the same identifier; adding the number-taking number of the target visitor into a queuing number queue, and calculating the expected queuing time of the target visitor in real time according to the number-taking number of the target visitor; judging whether the target visitor leaves the service hall or not according to the tracking track of the target visitor; and if the target visitor leaves the service hall, removing the number-taking number of the target visitor from the queuing number queue, and recalculating the expected queuing time of the number-taking number in the queuing number queue after the number-taking number of the target visitor. The number taking method has the advantages that when a target visitor takes a number, the human face image of the target visitor is bound with the number taking number, the target visitor is tracked according to the human body image of the target visitor, whether the target visitor leaves a service hall in advance or not is judged according to the tracking track of the target visitor, the number taking number of the target visitor is removed from a queuing number under the condition that the target visitor leaves the service hall, the target visitor who leaves the service hall is not required to be notified, waiting time of other visitor personnel is reduced, and work efficiency of the service hall is improved.
It should be noted that the queuing and calling management method based on face recognition provided by the embodiment of the present invention can be applied to devices such as mobile phones, monitors, computers, servers, etc. that can perform queuing and calling management based on face recognition.
Optionally, referring to fig. 3, fig. 3 is a flowchart of a method for determining an intention of a target visitor to leave a service lobby according to an embodiment of the present invention, where the method is used for queuing management of the service lobby, and as shown in fig. 3, the method includes the following steps:
301. and judging whether the target visitor has an intention of leaving the service hall or not according to the tracking track of the target visitor.
In the embodiment of the invention, whether the target visitor has a trend of leaving the service hall or not can be judged according to the tracking track of the target visitor, and if the target visitor has the trend of leaving the service hall, the intention of leaving the service hall of the target visitor can be determined.
Optionally, whether the target visitor passes through a preset hesitation area may be determined according to the tracking trajectory of the target visitor, and the hesitation area may be set inside a doorway of the service hall; if the target visitor passes through the preset hesitation area, the intention of the target visitor to leave the service hall can be determined. It is understood that the route of the target visitor leaving the service hall is a waiting area, a hesitation area, and a doorway area. Therefore, when the target visitor goes from the waiting area to the hesitation area, there is a tendency to leave the service hall, and when the target visitor goes from the hesitation area to the entrance area, there is a high probability that the target visitor will leave the service hall. Whether the target visitor has the intention of leaving the service hall or not can be known in advance through the setting of the hesitation area and the tracking track of the target visitor.
302. And if the target visitor has the intention of leaving the service hall, acquiring the expected queuing time of the target visitor.
In the embodiment of the invention, the expected queuing time of the target visitor can be obtained from the queuing number queue.
303. And if the predicted queuing time of the target visitor is less than or equal to the second preset time, performing first queuing prompt to the target visitor.
In the embodiment of the present invention, the second preset time may be preset by a user, or may be determined according to the first preset time. For example, the second preset time may be the same as the first preset time, or the second preset time may be n minutes more than the first preset time, for example, the second preset time is 10 minutes added to the first preset time.
When the expected queuing time of the target visitor is less than or equal to the second preset time, the target visitor needs not to wait in queue for a long time. At this time, the first queuing aid may be generated according to the number of the target visitor and the expected queuing time, for example, when the target visitor goes from the waiting area to the hesitation area, the first queuing aid: "visitor XXX, your expected queuing time is short, you can wait in a queue with patience, if you come back within 20 minutes after going out", the above-mentioned 20 minutes is the first preset time.
304. And if the predicted queuing time of the target visitor is greater than the second preset time, performing second queuing prompt on the target visitor.
And when the expected queuing time of the target visitor is more than the second preset time, the target visitor needs to wait in a queue for a longer time. At this time, the second queuing aid may be generated according to the number of the target visitor and the expected queuing time, for example, when the target visitor goes from the waiting area to the hesitant area, the second queuing aid: "visitor XXX, your estimated queue time is longer, please come back as soon as possible within 20 minutes after going out", the above-mentioned 20 minutes is the first preset time.
In the embodiment of the invention, the visitor who has the intention of leaving the service hall is prompted through the first queuing prompt and the second queuing prompt, so that the visitor is prevented from missing the transaction time, and the experience of the visitor can be further improved.
Optionally, referring to fig. 4, fig. 4 is a flowchart of another queuing and calling management method based on face recognition according to an embodiment of the present invention, as shown in fig. 4, including the following steps:
401. and judging whether the service hall contains the fellow persons of the target visitor or not.
In the embodiment of the present invention, the fellow persons refer to persons fellow with the target visitor, and further, may be understood as persons accompanying the target visitor together.
Specifically, a snapshot image of the target visitor during number fetching can be acquired, and whether the snapshot image includes other people except the target visitor is detected through a human body detection network; if the snapshot image comprises the other people, calculating the social distance between the target visitor and the other people; and judging whether the other people comprise the fellow people of the target visitor or not according to the social distance between the target visitor and the other people. For example, if the distance between a person and the target visitor is smaller than a preset threshold value in the snapshot image, the person may be considered as a fellow person of the target visitor. Further, for example, a target visitor and a person enter the service hall back and forth, the target visitor takes a number, the distance between the person and the target visitor is within 1 meter, and the person does not take the number, and at this time, the person can be considered as a fellow person of the target visitor of the person.
402. And if the service hall contains the fellow persons of the target visitor, reserving the number-taking number of the target visitor in the queuing number queue.
In the embodiment of the invention, when the target visitor leaves the service hall, if the service hall contains the fellow persons of the target visitor, the queuing state of the target visitor is still valid, the number-taking number of the target visitor can be reserved in the queuing number queue, the subsequent target visitor returns within the valid time of the number-taking number, and the notification can still be carried out according to the sequence of the number-taking number, or the fellow persons of the target visitor can hold the number-taking number to handle the affair for the target visitor.
403. And if the service hall does not contain the members of the same row of the target visitor, removing the number-taking number of the target visitor from the queuing number queue.
In the embodiment of the invention, if the service hall does not contain the fellow persons of the target visitor, after the target visitor leaves the service hall, the target visitor can be considered to give up handling the transaction, and the number taking number of the target visitor does not need to be reported, so that the number taking number of the target visitor can be removed from the queuing number queue, and the waiting time of the subsequent visitor and the handling efficiency of the service hall are reduced.
Referring to fig. 5, fig. 5 is a schematic structural diagram of a queuing and calling management device based on face recognition according to an embodiment of the present invention, which is used for queuing and calling management of a service hall, and as shown in fig. 5, the device includes:
the first obtaining module 501 is configured to obtain a face image and a number-taking number of a target visitor when taking a number, and bind the face image and the number-taking number of the target visitor;
a second obtaining module 502, configured to obtain a human body image of the target visitor, track the target visitor through the human body image of the target visitor to obtain a tracking track of the target visitor, where the human body image of the target visitor and the human face image of the target visitor are associated through the same identifier;
a calculating module 503, configured to add the number-fetching number of the target visitor to a queuing number queue, and calculate, according to the number-fetching number of the target visitor, an expected queuing time of the target visitor in real time;
a first judging module 504, configured to judge, according to the tracking track of the target visitor, whether the target visitor leaves the service hall;
a removing module 505, configured to remove the number of the target visitor from the queuing number queue if the target visitor leaves the service hall, and recalculate the expected queuing time of the number of the target visitor after the number of the target visitor in the queuing number queue.
Optionally, as shown in fig. 6, the first determining module 504 includes:
the first judgment sub-module 5041 is configured to judge, according to the tracking track of the target visitor, whether the target visitor disappears from the doorway area of the service hall, and judge whether the target visitor reappears within a first preset time;
a first determining sub-module 5042, configured to determine that the target visitor leaves the service lobby if the target visitor disappears from the doorway area of the service lobby and does not reappear within the first preset time;
a second determining sub-module 5043, configured to determine that the target visitor does not leave the service hall if the target visitor disappears from the doorway area of the service hall and reappears within the first predicted time.
Optionally, as shown in fig. 7, the apparatus further includes:
a second judging module 506, configured to judge whether the target visitor has an intention to leave the service hall according to the tracking track of the target visitor;
a second obtaining module 507, configured to obtain an expected queuing time of the target visitor if the target visitor has an intention to leave the service hall;
a first prompt module 508, configured to perform a first queuing prompt to the target visitor if the expected queuing time of the target visitor is less than or equal to a second preset time;
a second prompt module 509, configured to perform a second queuing prompt for the target visitor if the expected queuing time of the target visitor is greater than a second preset time.
Optionally, as shown in fig. 8, the second determining module 506 includes:
the second judgment submodule 5061 is configured to judge whether the target visitor passes through a preset hesitation area according to the tracking trajectory of the target visitor, where the hesitation area is set inside a doorway of the service hall;
a third determining sub-module 5062 for determining that the target visitor has an intention to leave the service hall if the target visitor passes through the preset hesitation area.
Optionally, the first prompt module 508 is further configured to generate a first queuing prompt according to the number-taking number of the target visitor and the expected queuing time if the expected queuing time of the target visitor is less than or equal to a second preset time.
Optionally, as shown in fig. 9, the apparatus further includes:
a third determining module 510, configured to determine whether the service hall contains a fellow visitor of the target visitor;
a reserving module 511, configured to reserve, in the queuing number queue, the number-taking number of the target visitor if the service lobby contains a fellow person of the target visitor;
the removing module 505 is further configured to remove the number-taking number of the target visitor from the queue number queue if the service hall does not contain the fellow persons of the target visitor.
Optionally, as shown in fig. 10, the third determining module 510 includes:
a third acquirer box 5101 for acquiring a snapshot of the target visitor when taking the number, and detecting whether the snapshot includes other people except the target visitor through a human detection network;
the calculation submodule 5102 is configured to calculate a social distance between the target visitor and the other people if the snapshot image includes the other people;
the judging submodule 5103 is configured to judge whether the peer people of the target visitor are included in the other people according to the social distance between the target visitor and the other people.
It should be noted that the queuing and calling management device based on face recognition provided in the embodiment of the present invention can be applied to devices such as mobile phones, monitors, computers, servers, etc. that can perform queuing and calling management based on face recognition.
The queuing and calling management device based on the face recognition provided by the embodiment of the invention can realize each process realized by the queuing and calling management method based on the face recognition in the embodiment of the method, and can achieve the same beneficial effect. To avoid repetition, further description is omitted here.
Referring to fig. 11, fig. 11 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, as shown in fig. 11, including: a memory 1102, a processor 1101, and a computer program stored on the memory 1102 and executable on the processor 1101, wherein:
the processor 1101 is configured to call the computer program stored in the memory 1102, and perform the following steps:
acquiring a face image and a number-taking number of a target visitor during number taking, and binding the face image and the number-taking number of the target visitor;
acquiring a human body image of the target visitor, tracking the target visitor through the human body image of the target visitor to obtain a tracking track of the target visitor, and associating the human body image of the target visitor with the human face image of the target visitor through the same identifier;
adding the number-taking number of the target visitor into a queuing number queue, and calculating the expected queuing time of the target visitor in real time according to the number-taking number of the target visitor;
judging whether the target visitor leaves the service hall or not according to the tracking track of the target visitor;
and if the target visitor leaves the service hall, removing the number-taking number of the target visitor from the queuing number queue, and recalculating the expected queuing time of the number-taking number in the queuing number queue after the number-taking number of the target visitor.
Optionally, the determining, by the processor 1101, whether the target visitor leaves the service hall according to the tracking track of the target visitor includes:
judging whether the target visitor disappears from a doorway area of the service hall or not according to the tracking track of the target visitor, and judging whether the target visitor reappears within a first preset time or not;
if the target visitor disappears from the doorway area of the service hall and does not reappear within the first preset time, determining that the target visitor leaves the service hall;
and if the target visitor disappears from the doorway area of the service hall and reappears within the first predicted time, determining that the target visitor does not leave the service hall.
Optionally, the method executed by the processor 1101 further includes:
judging whether the target visitor has an intention of leaving the service hall or not according to the tracking track of the target visitor;
if the target visitor has the intention of leaving the service hall, acquiring the expected queuing time of the target visitor;
if the predicted queuing time of the target visitor is less than or equal to a second preset time, performing a first queuing prompt to the target visitor;
and if the predicted queuing time of the target visitor is greater than a second preset time, performing a second queuing prompt on the target visitor.
Optionally, the determining, by the processor 1101, whether the target visitor has an intention to leave the service hall according to the tracking trajectory of the target visitor includes:
judging whether the target visitor passes through a preset hesitation area or not according to the tracking track of the target visitor, wherein the hesitation area is arranged on the inner side of a doorway of the service hall;
and if the target visitor passes through the preset hesitation area, determining that the target visitor has the intention of leaving the service hall.
Optionally, the performing, by the processor 1101, a first queuing prompt to the target guest if the expected queuing time of the target guest is less than or equal to a second preset time includes:
and if the expected queuing time of the target visitor is less than or equal to second preset time, generating a first queuing prompt according to the number taking number of the target visitor and the expected queuing time.
Optionally, before removing the number-fetching number of the target guest from the queuing number queue, the method executed by the processor 1101 further includes:
judging whether the service hall contains the fellow persons of the target visitor or not;
if the service hall contains the fellow persons of the target visitor, the number-taking number of the target visitor is reserved in the queuing number queue;
and if the service hall does not contain the members of the same group of the target visitor, removing the number-taking number of the target visitor from the queuing number queue.
Optionally, the determining, performed by the processor 1101, whether the service hall contains a fellow person of the target visitor includes:
acquiring a snapshot image of the target visitor during number fetching, and detecting whether the snapshot image comprises other people except the target visitor through a human body detection network;
if the snapshot image comprises the other people, calculating the social distance between the target visitor and the other people;
and judging whether the other people comprise the fellow people of the target visitor or not according to the social distance between the target visitor and the other people.
The electronic device may be a device that can be applied to a mobile phone, a monitor, a computer, a server, and the like that can perform queuing management based on face recognition.
The electronic device provided by the embodiment of the invention can realize each process realized by the queuing and calling management method based on face recognition in the method embodiment, can achieve the same beneficial effect, and is not repeated here for avoiding repetition.
The embodiment of the invention also provides a computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when being executed by a processor, the computer program realizes each process of the queuing and calling management method based on face recognition, which is provided by the embodiment of the invention, can achieve the same technical effect, and is not repeated here in order to avoid repetition.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present invention, and it is therefore to be understood that the invention is not limited by the scope of the appended claims.
Claims (10)
1. A queuing and calling management method based on face recognition is used for queuing and calling management of a service hall, and is characterized by comprising the following steps:
acquiring a face image and a number-taking number of a target visitor during number taking, and binding the face image and the number-taking number of the target visitor;
acquiring a human body image of the target visitor, tracking the target visitor through the human body image of the target visitor to obtain a tracking track of the target visitor, and associating the human body image of the target visitor with the human face image of the target visitor through the same identifier;
adding the number-taking number of the target visitor into a queuing number queue, and calculating the expected queuing time of the target visitor in real time according to the number-taking number of the target visitor;
judging whether the target visitor leaves the service hall or not according to the tracking track of the target visitor;
and if the target visitor leaves the service hall, removing the number-taking number of the target visitor from the queuing number queue, and recalculating the expected queuing time of the number-taking number in the queuing number queue after the number-taking number of the target visitor.
2. The method of claim 1, wherein the determining whether the target visitor leaves the service hall based on the target visitor's tracked trajectory comprises:
judging whether the target visitor disappears from a doorway area of the service hall or not according to the tracking track of the target visitor, and judging whether the target visitor reappears within a first preset time or not;
if the target visitor disappears from the entrance area of the service hall and does not reappear within the first preset time, determining that the target visitor leaves the service hall;
and if the target visitor disappears from the doorway area of the service hall and reappears within the first predicted time, determining that the target visitor does not leave the service hall.
3. The method of claim 2, wherein the method further comprises:
judging whether the target visitor has an intention of leaving the service hall or not according to the tracking track of the target visitor;
if the target visitor has the intention of leaving the service hall, acquiring the expected queuing time of the target visitor;
if the predicted queuing time of the target visitor is less than or equal to a second preset time, performing a first queuing prompt to the target visitor;
and if the predicted queuing time of the target visitor is greater than a second preset time, performing a second queuing prompt on the target visitor.
4. The method of claim 3, wherein said determining whether the target visitor has an intent to leave the service hall based on the target visitor's tracked trajectory comprises:
judging whether the target visitor passes through a preset hesitation area or not according to the tracking track of the target visitor, wherein the hesitation area is arranged on the inner side of a doorway of the service hall;
and if the target visitor passes through the preset hesitation area, determining that the target visitor has the intention of leaving the service hall.
5. The method of claim 4, wherein the performing a first queuing prompt to the target guest if the predicted queuing time of the target guest is less than or equal to a second preset time comprises:
and if the expected queuing time of the target visitor is less than or equal to second preset time, generating a first queuing prompt according to the number taking number of the target visitor and the expected queuing time.
6. The method of any of claims 1 to 5, wherein prior to removing the target guest's number fetch number from the queued number queue, the method further comprises:
judging whether the service hall contains the fellow persons of the target visitor or not;
if the service hall contains the fellow persons of the target visitor, the number-taking number of the target visitor is reserved in the queuing number queue;
and if the service hall does not contain the members of the same group of the target visitor, removing the number-taking number of the target visitor from the queuing number queue.
7. The method of claim 6, wherein the determining whether the peer of the target visitor is contained within the service lobby comprises:
acquiring a snapshot image of the target visitor during number fetching, and detecting whether the snapshot image comprises other people except the target visitor through a human body detection network;
if the snapshot image comprises the other people, calculating the social distance between the target visitor and the other people;
and judging whether the other people comprise the fellow people of the target visitor or not according to the social distance between the target visitor and the other people.
8. A queuing and calling management device based on face recognition is used for queuing and calling management of a service hall, and is characterized by comprising:
the first acquisition module is used for acquiring a face image and a number-taking number of a target visitor during number taking and binding the face image and the number-taking number of the target visitor;
the second acquisition module is used for acquiring a human body image of the target visitor, tracking the target visitor through the human body image of the target visitor to obtain a tracking track of the target visitor, and associating the human body image of the target visitor with the human face image of the target visitor through the same identifier;
the calculation module is used for adding the number-taking number of the target visitor into a queuing number queue and calculating the expected queuing time of the target visitor in real time according to the number-taking number of the target visitor;
the first judgment module is used for judging whether the target visitor leaves the service hall or not according to the tracking track of the target visitor;
and the removing module is used for removing the number-taking number of the target visitor from the queuing number queue if the target visitor leaves the service hall, and recalculating the expected queuing time of the number-taking number in the queuing number queue after the number-taking number of the target visitor.
9. An electronic device, comprising: a memory, a processor and a computer program stored on the memory and operable on the processor, wherein the processor implements the steps of the method for managing queuing and calling based on human face recognition according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when executed by a processor, the computer program implements the steps in the method for managing queuing and calling based on human face recognition according to any one of claims 1 to 7.
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