CN110796091A - Sales exhibition room passenger flow batch statistics based on face recognition technology and assisted with manual correction - Google Patents
Sales exhibition room passenger flow batch statistics based on face recognition technology and assisted with manual correction Download PDFInfo
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- CN110796091A CN110796091A CN201911043940.8A CN201911043940A CN110796091A CN 110796091 A CN110796091 A CN 110796091A CN 201911043940 A CN201911043940 A CN 201911043940A CN 110796091 A CN110796091 A CN 110796091A
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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Abstract
The invention discloses sales exhibition room passenger flow batch statistics based on a face recognition technology and assisted with manual correction, which comprises the following steps of SS1, installing at least one face recognition camera towards an entrance of an exhibition room in the sales exhibition room, and automatically capturing when people or a plurality of people enter a preset visual angle range of the camera by the face recognition camera. In the invention, by adopting an image recognition technology of multi-face recognition, all faces on the same inlet snapshot can be recognized and compared respectively, simultaneously, the same frame is recognized by default to be a batch of passenger flows, the system pushes new passenger flow batch information to a salesperson client, the salesperson confirms, adjusts or newly increases the number of the passenger flow batches, and the record of the face feature information of the customer is adjusted to be in a correct batch or a newly-built batch, thereby ensuring the accuracy of the customer batch.
Description
Technical Field
The invention relates to the technical field of passenger flow batch statistics, in particular to sales exhibition room passenger flow batch statistics based on a face recognition technology and assisted with manual correction.
Background
At present, people entering or leaving a certain area can be accurately counted by adopting a face recognition technology, but the counted number of people in passenger flow is not accurate enough in certain scenes, such as scenes of high-grade and large commodity sales, such as house sales, automobile sales and the like, because the service standards of the scenes generally require that when a customer enters a store, a salesperson immediately comes up and comes up, opens a door and comes up, and further requires to come up and come up, the counted number of people in passenger flow is not real, the number of people in passenger flow accounts for a large part of the number, the existing scheme can only count the number of people in passenger flow, is called the number of people in order, and is not very suitable in certain specific scenes, such as a 4S automobile store, a house sales exhibition hall and the like, the demand of passenger flow counting for family sales is very special, and the user focuses on the number of people in passenger flow, but rather in a passenger flow batch.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides the sales exhibition room passenger flow batch statistics based on the face recognition technology and assisted with manual correction.
In order to achieve the purpose, the invention adopts the following technical scheme: the method is based on a face recognition technology and assisted with manual correction, and comprises the following steps of:
SS 1: at least one face recognition camera is arranged in a sales exhibition hall towards an entrance of the exhibition hall, and the face recognition camera can automatically take a snapshot when people or a plurality of people enter a preset visual angle range of the camera;
SS 2: sequentially identifying all faces on the photo through a multi-person face identification module, giving each identified face a FACEID, obtaining information related to gender and age, removing employees in a shop from the information, and identifying the faces in the same frame as a group of persons;
SS 3: the passenger flow batch information obtained by the multi-person face recognition module is pushed to a passenger flow batch manual correction module by a passenger flow information pushing module;
SS 4: after the salesperson obtains the pushed customer batch face feature information and communicates with the customers, the sales personnel modify the customer batch through a customer batch manual correction module according to the actual situation;
SS 5: and the system displays the passenger flow batch data corrected by the sales personnel in real time.
As a further description of the above technical solution:
the working process of the multi-person face recognition module in the step SS2 comprises the following steps:
SS 2.1: receiving a photo captured by a face recognition camera;
and SS 2.2: recognizing all human faces on the picture;
and SS 2.3: obtaining face feature information of the faces;
and SS 2.4: and calling a passenger flow batch counting module to count the passenger flow batches.
As a further description of the above technical solution:
the passenger flow batch counting module for counting passenger flow batches comprises the following steps:
s1: receiving N face feature information records;
s2: setting n as 1;
s3: taking the nth human face feature information record;
s4: comparing the record with the employee repository, and if the record is judged not to be an employee, executing step S5; if yes, go to step S11;
s5: continuously comparing with a white list library, wherein related personnel who frequently come to the exhibition hall except the staff, such as superior management personnel, couriers and the like, are recorded in the white list library; if the person is not the person in the white list library, executing step S6; if yes, go to step S11
S6: continuing to compare with the client library, if the client library does not exist, executing step S7; if so, go to step S9;
s7: putting the face feature information into a client library;
s8: the first passenger flow amount +1, executing step S11;
s9: inquiring and judging whether the face feature information is counted on the current day, wherein the counting comprises primary counting and secondary counting, and if not, executing the step S10; if yes, go to step S11;
s10: the number of secondary passenger flows +1, step S11 is executed;
S11：n＝n+1；
s12: judgment N > N? Otherwise, go to step S3; if yes, go to step S13
S13: judging whether the first passenger flow volume and the second passenger flow volume change, namely judging whether a customer exists in the snapshot? If yes, go to step S14; if not, the program is ended;
s14: counting the number of passenger flow batches by +1, and executing step S15;
s15: inquiring and judging whether the clients in the same batch are marked as secondary clients or not, and if not, executing the step 16; if yes, go to step S17;
s16: the first passenger flow batch number +1, executing step S18;
s17: the number of secondary passenger flow batches +1, and step S18 is executed;
s18: and recording the passenger flow batch information base, and ending the program.
As a further description of the above technical solution:
the client library is a database used for storing the face feature information of the client;
the employee library is a database used for storing face feature information of employees;
the white list library is a database used for storing face feature information of related personnel who frequently come to the exhibition hall except for the staff, wherein the related personnel include but are not limited to upper management personnel and couriers.
As a further description of the above technical solution:
the passenger flow batch manual correction module is installed on a client of a salesman, and the client of the salesman supports a PC WEB end, a mobile APP end or a WeChat applet.
As a further description of the above technical solution:
the workflow of the passenger flow information pushing module further comprises the following steps:
s1: inquiring a face feature information base;
s2: acquiring a new face feature information record;
s3: writing the new face feature information record into a data interface;
s4: and sending a notice to the passenger flow batch manual correction module, and ending the program.
As a further description of the above technical solution:
the passenger flow batch manual correction module further comprises the following steps of:
s1: receiving new passenger flow batch information;
s2: the client automatically displays the face photos of the same batch of clients;
s3: the salesperson judges whether or not these customers are the same group of customers, and if yes, executes step S4; otherwise, go to step S5;
s4: confirming the clients in the same batch, and ending the program;
s5: the salesperson then determines whether the customers not belonging to the current customer flow are the same as the existing customers in the same batch, and if yes, executes step S6; otherwise, go to step S7;
s6: the salesperson adjusts the customer to the correct customer flow batch, and the procedure is ended;
s7: and (4) the salesman creates a passenger flow batch, and the salesman puts the customer into the new batch, and the process is finished.
Advantageous effects
The invention provides sales exhibition room passenger flow batch statistics based on a face recognition technology and assisted with manual correction. The method has the following beneficial effects:
the sales exhibition room passenger flow batch statistics based on the face recognition technology and supplemented with manual correction adopts the image recognition technology of multi-face recognition, can identify all human faces on the same inlet snapshot picture and respectively carry out identification comparison, meanwhile, the customer flow is a batch of customer flow by default, the system pushes new batch information of the customer flow to a salesperson client, the salesperson confirms, adjusts or newly increases the batch number of the customer flow, adjusts the record of the face feature information of the customer to a correct batch or a newly-built batch, thereby ensuring the accuracy of the client batch, and the sales exhibition hall passenger flow batch statistics based on the face recognition technology and supplemented with manual correction is carried out in the sales scene needing the passenger flow batch to obtain the value of the daily passenger flow batch, the effectiveness and value of analysis, prediction and assistant decision are far greater than that of only obtaining passenger flow numerical values.
Drawings
FIG. 1 is a block diagram of a flow of sales exhibition hall flow lot statistics based on face recognition technology assisted with manual correction according to the present invention;
FIG. 2 is a block diagram of a flow of a multi-face recognition module of the present invention;
FIG. 3 is a block diagram of a flow of a passenger flow batch statistics module of the present invention;
FIG. 4 is a block diagram of a flow of a passenger flow information push module according to the present invention;
FIG. 5 is a block diagram of a flow of a passenger flow batch manual correction module according to 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.
As shown in fig. 1-5, the sales exhibition hall passenger flow batch statistics based on face recognition technology and assisted by manual correction includes the following steps:
SS 1: at least one face recognition camera is arranged in a sales exhibition hall towards an entrance of the exhibition hall, and the face recognition camera can automatically take a snapshot when people or a plurality of people enter a preset visual angle range of the camera;
SS 2: sequentially identifying all faces on the photo through a multi-person face identification module, giving each identified face a FACEID, obtaining information related to gender and age, removing employees in a shop from the information, and identifying the faces in the same frame as a group of persons;
SS 3: the passenger flow batch information obtained by the multi-person face recognition module is pushed to a passenger flow batch manual correction module by a passenger flow information pushing module;
SS 4: after the salesperson obtains the pushed customer batch face feature information and communicates with the customers, the sales personnel modify the customer batch through a customer batch manual correction module according to the actual situation;
SS 5: and the system displays the passenger flow batch data corrected by the sales personnel in real time.
The workflow of the multi-person face recognition module in the step SS2 includes the following steps:
SS 2.1: receiving a photo captured by a face recognition camera;
and SS 2.2: recognizing all human faces on the picture;
and SS 2.3: obtaining face feature information of the faces;
and SS 2.4: and calling a passenger flow batch counting module to count the passenger flow batches.
The passenger flow batch counting module for counting passenger flow batches comprises the following steps:
s1: receiving N face feature information records;
s2: setting n as 1;
s3: taking the nth human face feature information record;
s4: comparing the record with the employee repository, and if the record is judged not to be an employee, executing step S5; if yes, go to step S11;
s5: continuously comparing with a white list library, wherein related personnel who frequently come to the exhibition hall except the staff, such as superior management personnel, couriers and the like, are recorded in the white list library; if the person is not the person in the white list library, executing step S6; if yes, go to step S11
S6: continuing to compare with the client library, if the client library does not exist, executing step S7; if so, go to step S9;
s7: putting the face feature information into a client library;
s8: the first passenger flow amount +1, executing step S11;
s9: inquiring and judging whether the face feature information is counted on the current day, wherein the counting comprises primary counting and secondary counting, and if not, executing the step S10; if yes, go to step S11;
s10: the number of secondary passenger flows +1, step S11 is executed;
S11：n＝n+1；
s12: judgment N > N? Otherwise, go to step S3; if yes, go to step S13
S13: judging whether the first passenger flow volume and the second passenger flow volume change, namely judging whether a customer exists in the snapshot? If yes, go to step S14; if not, the program is ended;
s14: counting the number of passenger flow batches by +1, and executing step S15;
s15: inquiring and judging whether the clients in the same batch are marked as secondary clients or not, and if not, executing the step 16; if yes, go to step S17;
s16: the first passenger flow batch number +1, executing step S18;
s17: the number of secondary passenger flow batches +1, and step S18 is executed;
s18: and recording the passenger flow batch information base, and ending the program.
The client library is a database used for storing the face feature information of the client;
the employee library is a database used for storing face feature information of employees;
the white list library is a database used for storing face feature information of related personnel who frequently come to an exhibition hall except for employees, wherein the related personnel include but are not limited to upper management personnel and couriers.
The passenger flow batch manual correction module is installed on a client of a salesman, and the client of the salesman supports a PCWEB end, a mobile APP end or a WeChat applet.
The workflow of the passenger flow information pushing module further comprises the following steps:
s1: inquiring a face feature information base;
s2: acquiring a new face feature information record;
s3: writing the new face feature information record into a data interface;
s4: and sending a notice to the passenger flow batch manual correction module, and ending the program.
The passenger flow batch manual correction module further comprises the following steps of:
s1: receiving new passenger flow batch information;
s2: the client automatically displays the face photos of the same batch of clients;
s3: the salesperson judges whether or not these customers are the same group of customers, and if yes, executes step S4; otherwise, go to step S5;
s4: confirming the clients in the same batch, and ending the program;
s5: the salesperson then determines whether the customers not belonging to the current customer flow are the same as the existing customers in the same batch, and if yes, executes step S6; otherwise, go to step S7;
s6: the salesperson adjusts the customer to the correct customer flow batch, and the procedure is ended;
s7: and (4) the salesman creates a passenger flow batch, and the salesman puts the customer into the new batch, and the process is finished.
The sales exhibition hall passenger flow batch statistics based on the face recognition technology and supplemented with manual correction is characterized in that at least one face recognition camera is installed in a sales exhibition hall towards an entrance of the exhibition hall, the face recognition camera can automatically take a snapshot when a person or a plurality of persons enter a preset visual angle range of the camera, the captured photos are sent to a multi-person face recognition module, the multi-person face recognition module sequentially recognizes all faces on the photos, gives a FACEID to each face recognized, removes a local store employee from the faces, recognizes the faces in the same frame as a batch of persons, records the number of batches and the time of entering the store, calls a passenger flow information pushing module, writes the face characteristic information of the batch of passenger flow into a batch passenger flow information data interface, and informs a passenger flow batch manual correction module, and the salesperson manually confirms, adjusts or newly increases the number of the batch of passenger flow, and adjusting the face feature information records of the customers to be in the correct batch or in a newly-built batch, and finally, assisting manual correction on the basis of automatically counting the number of passenger flow batches which are learned, investigated, negotiated or purchased by the sales exhibition hall every day to obtain the accurate number of the passenger flow batches.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (7)
1. The method is characterized by comprising the following steps of:
SS 1: at least one face recognition camera is arranged in a sales exhibition hall towards an entrance of the exhibition hall, and the face recognition camera can automatically take a snapshot when people or a plurality of people enter a preset visual angle range of the camera;
SS 2: sequentially identifying all faces on the photo through a multi-person face identification module, giving each identified face a FACEID, obtaining information related to gender and age, removing employees in a shop from the information, and identifying the faces in the same frame as a group of persons;
SS 3: the passenger flow batch information obtained by the multi-person face recognition module is pushed to a passenger flow batch manual correction module by a passenger flow information pushing module;
SS 4: after the salesperson obtains the pushed customer batch face feature information and communicates with the customers, the sales personnel modify the customer batch through a customer batch manual correction module according to the actual situation;
SS 5: and the system displays the passenger flow batch data corrected by the sales personnel in real time.
2. The sales exhibition hall flow lot statistics based on face recognition technology assisted by manual correction as claimed in claim 1, wherein the workflow of the multi-person face recognition module in step SS2 comprises the following steps:
SS 2.1: receiving a photo captured by a face recognition camera;
and SS 2.2: recognizing all human faces on the picture;
and SS 2.3: obtaining face feature information of the faces;
and SS 2.4: and calling a passenger flow batch counting module to count the passenger flow batches.
3. The sales exhibition hall passenger flow batch statistics based on the face recognition technology and supplemented with manual correction as claimed in claim 2, wherein the passenger flow batch statistics module for performing passenger flow batch statistics comprises the following steps:
s1: receiving N face feature information records;
s2: setting n as 1;
s3: taking the nth human face feature information record;
s4: comparing the record with the employee repository, and if the record is judged not to be an employee, executing step S5; if yes, go to step S11;
s5: continuously comparing with a white list library, wherein related personnel who frequently come to the exhibition hall except the staff, such as superior management personnel, couriers and the like, are recorded in the white list library; if the person is not the person in the white list library, executing step S6; if yes, go to step S11
S6: continuing to compare with the client library, if the client library does not exist, executing step S7; if so, go to step S9;
s7: putting the face feature information into a client library;
s8: the first passenger flow amount +1, executing step S11;
s9: inquiring and judging whether the face feature information is counted on the current day, wherein the counting comprises primary counting and secondary counting, and if not, executing the step S10; if yes, go to step S11;
s10: the number of secondary passenger flows +1, step S11 is executed;
S11：n＝n+1；
s12: judgment N > N? Otherwise, go to step S3; if yes, go to step S13
S13: judging whether the first passenger flow volume and the second passenger flow volume change, namely judging whether a customer exists in the snapshot? If yes, go to step S14; if not, the program is ended;
s14: counting the number of passenger flow batches by +1, and executing step S15;
s15: inquiring and judging whether the clients in the same batch are marked as secondary clients or not, and if not, executing the step 16; if yes, go to step S17;
s16: the first passenger flow batch number +1, executing step S18;
s17: the number of secondary passenger flow batches +1, and step S18 is executed;
s18: and recording the passenger flow batch information base, and ending the program.
4. The sales exhibition hall passenger flow batch statistics based on the face recognition technology and supplemented with manual correction as claimed in claim 3, wherein the client library is a database used for storing the face feature information of the client;
the employee library is a database used for storing face feature information of employees;
the white list library is a database used for storing face feature information of related personnel who frequently come to the exhibition hall except for the staff, wherein the related personnel comprise superior management personnel and couriers.
5. The sales exhibition hall passenger flow batch statistics based on the face recognition technology and assisted by manual correction of claim 1, wherein the passenger flow batch manual correction module is installed on a client of a salesperson, and the client of the salesperson supports a PC WEB terminal, a mobile APP terminal or a WeChat applet.
6. The sales exhibition hall passenger flow batch statistics based on the face recognition technology and supplemented with manual correction as claimed in claim 1, wherein the workflow of the passenger flow information pushing module further comprises the steps of:
s1: inquiring a face feature information base;
s2: acquiring a new face feature information record;
s3: writing the new face feature information record into a data interface;
s4: and sending a notice to the passenger flow batch manual correction module, and ending the program.
7. The sales exhibition hall passenger flow batch statistics based on the face recognition technology and assisted by manual correction as claimed in claim 1, wherein the passenger flow batch manual correction module for modifying the passenger flow batch further comprises the steps of:
s1: receiving new passenger flow batch information;
s2: the client automatically displays the face photos of the same batch of clients;
s3: the salesperson judges whether or not these customers are the same group of customers, and if yes, executes step S4; otherwise, go to step S5;
s4: confirming the clients in the same batch, and ending the program;
s5: the salesperson then determines whether the customers not belonging to the current customer flow are the same as the existing customers in the same batch, and if yes, executes step S6; otherwise, go to step S7;
s6: the salesperson adjusts the customer to the correct customer flow batch, and the procedure is ended;
s7: and (4) the salesman creates a passenger flow batch, and the salesman puts the customer into the new batch, and the process is finished.
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