CN112183408A - Case image-based customer portrait system and method - Google Patents
Case image-based customer portrait system and method Download PDFInfo
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- CN112183408A CN112183408A CN202011065852.0A CN202011065852A CN112183408A CN 112183408 A CN112183408 A CN 112183408A CN 202011065852 A CN202011065852 A CN 202011065852A CN 112183408 A CN112183408 A CN 112183408A
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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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0203—Market surveys; Market polls
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
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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
- G06V40/20—Movements or behaviour, e.g. gesture recognition
Abstract
The invention relates to the field of real estate, in particular to a case and scene image-based client portrait system, which comprises a server, a business consultant terminal and a camera arranged at a building selling place, wherein the server comprises an input module, a processing module, a database, a judgment module and an output module, wherein: the input module is used for acquiring a video image acquired by the camera; the processing module is used for extracting a face image from the video image according to a face recognition algorithm, recognizing the identity of a client and storing the client identity in a database; the judging module is used for judging the stay time of the client in the video image, recording the stay time as a client concern point if the stay time is greater than a first preset threshold value, and storing the client concern point in a database to be bound with the face image of the client; and the output module is used for matching corresponding strategy information according to the client concern and sending the strategy information to the business advocate terminal.
Description
Technical Field
The invention relates to the field of real estate, in particular to a customer portrait system and a customer portrait method based on case and field images.
Background
The case is the meaning of the scene, also called the sales scene; in the real estate industry, particularly in the site of a building selling place of a newly-built commodity house; the building selling place is used as a sentinel of a selling building, not only is an important public place of project images, but also is a unique advertisement carrier; therefore, the on-site consulting of the place counselor to provide high-quality consulting services according to the needs of the clients at the building to give the clients a deep impression is an important means for competing clients for the first time.
For example, a real estate data collection and analysis management system is disclosed in the document with chinese patent publication No. CN111507805A, which includes a user login module, an identity verification module, a marketing management module, a project management module, a client management module, a background management module, a system setting module, a business consultant management module, a data analysis module and an applet management module, wherein the user login module is connected with the identity verification module, and the identity verification module is respectively connected with the marketing management module, the project management module, the client management module, the background management module, the system setting module, the business consultant management module, the data analysis module and the applet management module and a database.
According to the scheme, the client is analyzed by collecting the detailed information of browsing and door-climbing of the client corresponding to the real estate, so that the employment consultant can conveniently know the client requirements. However, the analysis results obtained in this way usually have a certain hysteresis, so that the professional consultant cannot actively know the needs and intentions of the client in the first time, and the client is easily lost; moreover, in practical situations, due to competition among different developers, and because customer information is generally regarded as a business secret, the customer information is not intercommunicated and shared, and therefore, the number of data sources for providing analysis is small, and the authenticity of the analysis result is low.
Disclosure of Invention
The invention aims to provide a customer portrait system and a customer portrait method based on case images, which can solve the problem of low authenticity of an analysis result.
The basic scheme provided by the invention is as follows: a client portrait system based on case images comprises a server, a business consultant terminal and a camera arranged at a building, wherein the server comprises an input module, a processing module, a database, a judgment module and an output module, wherein:
the input module is used for acquiring a video image acquired by the camera;
the processing module is used for extracting a face image from the video image according to a face recognition algorithm, recognizing the identity of a client and storing the client identity in a database;
the judging module is used for judging the stay time of the client in the video image, recording the stay time as a client concern point if the stay time is greater than a first preset threshold value, and storing the client concern point in a database to be bound with the face image of the client;
and the output module is used for matching corresponding strategy information according to the client concern points and sending the strategy information to the business consultant terminal.
The working principle and the advantages of the invention are as follows:
firstly, shooting a video image of a scene in real time through a camera arranged at a building selling place, wherein the video image comprises a client and staff at the building selling place; the concerned object is a client, a processing module extracts a face image in a video image according to a face recognition algorithm, and the client is stored in a database after being distinguished; then, judging the staying time of the client in the video through a judging module, if the staying time is greater than a threshold value, indicating that the client is interested in the staying time, recording the staying time as a client attention point, and binding the client attention point with a face image of the client in a database; finally, matching corresponding strategy information according to the concerned points by an output module and sending the strategy information to a business consultant terminal; thereby guiding the sale direction of the on-site employment consultant and realizing the effect of the system auxiliary marketing.
Compared with the prior art, the scheme can analyze the attention points of the customers through the site images of the building sales places, so that the analysis results are more authentic; in addition, the analysis data can be rapidly acquired silently and silently through the camera, so that a business consultant does not need to be placed to inquire the requirements of clients excessively, and the operation flow can be simplified; and the system is suitable for different clients, so that the business counselor can know the client requirements at the first time, and the business counselor can provide targeted consultation services for the clients conveniently.
Further, the database is also used for pre-storing historical face images of the employment consultants; the processing module is also used for identifying a business consultant in the video image according to the historical face image, extracting the face image of the non-business consultant and obtaining the face image of the client.
Has the advantages that: due to uncertain factors of the case clients, in order to quickly identify new clients, the face images of the business replacement advisors are stored in advance to serve as comparison samples, then the face images in the videos are judged according to a face recognition algorithm, and if the face images are not the business replacement advisors, the clients are indicated.
Further, the judging module is also used for receiving the face image of the client, processing the face image of the client according to a face detection model successfully trained in advance and generating estimated age information; and the output module is also used for matching the strategy information according to the age information.
Has the advantages that: generally, the buyer's needs and concerns of different age groups will also be different; according to the scheme, the age information of the client can be estimated through the face detection model and sent to the output module, and finally, the data source for evaluation can be transversely expanded through the age information matching strategy, so that the authenticity and effectiveness of an evaluation result are improved, and a subsequent employment advisor can conveniently develop services.
Further, the judging module is also used for receiving and judging the face image in the video image, and if the face image is a non-working advisor face image and a client face image which is the same as the face image does not exist in the database, the face image is judged as a new user; on the contrary, if the face image is a non-working consultant face image and the same client face image as the face image exists in the database, the user is determined as an old user.
Has the advantages that: in order to avoid ticket collision, a business consultant at a building usually asks a client whether the client visits for the first time; by adopting the scheme, new and old clients can be identified according to the face images stored in the database, so that a business consultant can conveniently master real information without respectively inquiring; moreover, by identifying the new and old clients, the client's will to purchase the house can be evaluated conveniently, thereby providing high-quality service.
Further, the system also comprises cameras arranged in each exhibition area; the judging module is also used for receiving and recording the quantity information of the visited areas of the clients according to the video images collected by the cameras; and if the quantity information is greater than a second preset threshold value, judging that the house purchasing will be achieved.
Has the advantages that: in most cases, a customer with high room purchasing willingness can carefully check each exhibition area to know the information of the floor at a building selling place without looking at sand tables and sample plates, even without concerning what products are sold in the current project, which is probably a toddler, or a customer with low or no purchasing willingness; therefore, the number of the areas visited by the client can be recorded by the judging module according to the video images collected by the cameras, so that whether the client wishes to purchase the house or not can be identified.
Further, the judging module is also used for processing the face image of the client according to the face detection model successfully trained in advance to generate the gender information of the client; and the output module is also used for matching corresponding strategy information according to the gender information.
Has the advantages that: because the male and the female have difference in house purchasing behaviors, the judgment module identifies the sex of the client and obtains a corresponding marketing strategy, so that the business consultant can conveniently carry out work and the transaction rate is improved.
The invention also provides a case and field image-based customer portrayal method, which comprises the following steps:
s1, acquiring a video image acquired by the camera;
s2, extracting a face image from the video image according to a face recognition algorithm, recognizing the identity of a client and storing the client in a database;
s3, judging the stay time of the client in the video image, if the stay time is more than a first preset threshold, recording the stay time as the client focus, and storing the client focus in a database to be bound with the face image of the client;
and S4, matching corresponding strategy information according to the client focus, and sending the strategy information to the business consultant terminal.
Has the advantages that: according to the scheme, the customer concern can be analyzed through the site image of the building selling place, so that the analysis result is more authentic; in addition, the analysis data can be rapidly acquired silently and silently through the camera, so that a business consultant does not need to be placed to inquire the requirements of clients excessively, and the operation flow can be simplified; and the system is suitable for different clients, so that the business counselor can know the client requirements at the first time, and the business counselor can provide targeted consultation services for the clients conveniently.
Further, the method comprises a step S31 of receiving the face image of the client, processing the face image of the client according to the face detection model successfully trained in advance, and generating the estimated age information.
Has the advantages that: according to the scheme, the age information of the client can be estimated through the face detection model, and then the data source for evaluation can be transversely expanded through the age information matching strategy, so that the authenticity and the effectiveness of the evaluation result are improved.
Further, step S32 is included, the method further includes receiving and judging a face image in the video image, and if the face image is a non-working advisor face image and a client face image identical to the face image does not exist in the database, judging the user as a new user; on the contrary, if the face image is a non-working consultant face image and the same client face image as the face image exists in the database, the user is determined as an old user.
Has the advantages that: by adopting the scheme, new and old clients can be identified according to the face images stored in the database, so that a business consultant can conveniently master real information without respectively inquiring; moreover, by identifying the new and old clients, the client's room purchasing will can be evaluated conveniently in the following process.
Further, the method also comprises a step S33 of receiving and recording the quantity information of the areas visited by the clients according to the video images collected by the cameras in each exhibition area; and if the quantity information is greater than a second preset threshold value, judging that the house purchasing will be achieved.
Has the advantages that: the number of the areas visited by the clients can be recorded according to the video images collected by the cameras arranged in each exhibition area, so that whether the clients wish to purchase rooms or not can be identified.
Drawings
FIG. 1 is a system diagram of a first embodiment of a scenario image-based client representation system and method according to the present invention.
FIG. 2 is a flowchart of a scenario image-based client representation system and method according to a first embodiment of the present invention.
Detailed Description
The following is further detailed by the specific embodiments:
example one
As shown in fig. 1, the customer portrait system based on case images comprises a server, a consulting room terminal and a camera installed in a building, wherein the server comprises an input module, a processing module, a database, a judgment module and an output module, wherein:
the input module is used for acquiring a video image acquired by the camera;
the processing module is used for extracting a face image from the video image according to a face recognition algorithm, recognizing the identity of a client and storing the client identity in a database; specifically, in this embodiment, the database is further configured to pre-store historical face images of the employment consultant, and the processing module is further configured to identify the employment consultant in the video image according to the historical face images, and extract a face image of a non-employment consultant from the video image to obtain a face image of the client; the technical principle is similar to the existing Haikangwei vision face recognition technology, a face file is established in advance, a current face is read, the two are compared to obtain a recognition result, the face image of a business replacement advisor is used as a comparison sample in the scheme, and the comparison is carried out, so that if the current face is not the business replacement advisor, the face image is a client face image; the technology is the prior art and is not described herein again;
the judging module is used for judging the stay time of the client in the video image, recording the stay time as a client concern point if the stay time is greater than a first preset threshold value, and storing the client concern point in a database to be bound with the face image of the client; specifically, firstly, the collected video image is converted into a continuous picture sequence with a plurality of time intervals (in the embodiment, the interval time is set to be 1s), and the technical principle is similar to that of the existing video clip software Adobe Premiere; as the first preset threshold value is 30s, if more than 30 pictures with continuous frames exist in the picture sequence and the face of the client appears, the picture sequence is defined as the attention point of the client, and is synchronously stored in the database to be bound with the face image of the client, so that a mapping relation table is generated.
And the output module is used for matching corresponding strategy information according to the client concern points and sending the strategy information to the business consultant terminal. Specifically, a plurality of different pieces of policy information are prestored in the database, and corresponding concerns are bound. The client service consulting server judges whether the client interest points are matched with the strategy information or not, and pushes the strategy information to the mobile phone end of the business consultant, so that the business consultant can know the client requirements at the first time, and the business consultant can provide targeted consulting services for the client conveniently.
The evaluation information is transversely expanded, and the authenticity and the effectiveness of the evaluation result are improved; the judging module is also used for receiving the face image of the client, processing the face image of the client according to a face detection model successfully trained in advance and generating estimated age information and gender information; and the output module is used for matching the strategy information according to the age information and the gender information of the client. Wherein: the technical principle of age identification and gender identification is similar to that of ArcFace SDK of an iris soft vision open platform, massive face pictures are learned through a convolutional neural network, and face features are abstracted to serve as bases for judging gender and age. Policy information is then generated by the output module based on the age and gender of the customer.
On the basis, the judging module is also used for receiving and judging the face image in the video image, and if the face image is a non-working consultant face image and a client face image which is the same as the face image does not exist in the database, the face image is judged as a new user; otherwise, if the face image is a non-working consultant face image and a client face image same as the face image exists in the database, the user is judged as an old user; the presence advisor can be facilitated to identify new and old clients offering services.
The customer picture method based on case and scene images, the system based on the method, the basic execution flow is shown in figure 2, and the method specifically comprises the following steps:
s1, acquiring a video image acquired by the camera;
s2, extracting a face image from the video image according to a face recognition algorithm, recognizing the identity of a client and storing the client in a database;
s3, judging the stay time of the client in the video image, if the stay time is more than a first preset threshold, recording the stay time as the client focus, and storing the client focus in a database to be bound with the face image of the client;
s31, receiving the face image of the client, processing the face image of the client according to a face detection model trained successfully in advance, and generating estimated age information;
s32, receiving and judging a face image in the video image, and if the face image is a non-working consultant face image and a client face image which is the same as the face image does not exist in the database, judging the face image as a new user; otherwise, if the face image is a non-working consultant face image and a client face image same as the face image exists in the database, the user is judged as an old user;
and S4, matching corresponding strategy information according to the client focus, and sending the strategy information to the business consultant terminal.
Example two
Compared with the first embodiment, the difference is that the display device further comprises cameras arranged in each exhibition area; the judging module is also used for receiving and recording the quantity information of the areas visited by the client according to the video images collected by the cameras; and if the quantity information is greater than a second preset threshold value, judging that the house purchasing will be achieved. Specifically, the second preset threshold is 3 times in this embodiment, and if the number of areas visited by the client is greater than 3 times, it indicates that the client will purchase a house more intensely, and the client may be regarded as a key focus of the client, and the business consultant is prompted to provide high-quality consulting service for the client, which is helpful for increasing the transaction rate.
The customer image method based on case images further comprises the step S33 of receiving and recording the quantity information of the areas visited by the customers according to the video images collected by the cameras in each exhibition area on the basis of the first embodiment; and if the quantity information is greater than a second preset threshold value, judging that the house purchasing will be achieved.
EXAMPLE III
Compared with the first embodiment, the difference is that the processing module is also used for receiving the video image and positioning the employment consultant in the video image according to the face recognition algorithm and the historical face image of the employment consultant pre-stored in the database; the judging module is also used for receiving and processing the human body image of the employment consultant and the human body image of the client in the video image, and if the distance information between the human body image of the employment consultant and the human body image of the client is greater than a threshold value (30cm), the judgment module judges that the employment consultant does not have a service client currently; if a plurality of human body images of the employment consultants exist in the video image, judging the spacing distance between the human body images of the employment consultants, extracting the human face image of the employment consultant with the spacing distance smaller than a threshold value (20cm), matching corresponding identity information from a database according to the human face image, and recording the identity information as a suspected chatting state; receiving and processing the current voice information of the employment advisor through a processing module, converting the current voice information into text information according to the processing of a voice recognition algorithm, extracting and judging the text information of the employment advisor suspected to be chatty, and judging that the employment advisor does not have chatty if the repetition degree of the text information is greater than a first threshold (80%); on the contrary, if the repetition degree of the text information is lower than a second threshold value (20%), the possibility that the operation consultant is chatting is judged to be high, gyroscope information of a handheld terminal (such as a tablet personal computer) of the operation consultant is judged, if the gyroscope information changes, a microphone of the handheld terminal is opened, whether voice information of a client exists or not is judged through the microphone, and if the voice of the client exists, the operation consultant is communicating with the client and does not chat; otherwise, defining that the business consultant is chatting; alternatively, if the degree of repetition is within the first threshold and the second threshold interval (i.e., 20% < degree of repetition < 80%), then it is determined that the presentation of the word by the consultant is problematic.
The processing module is also used for judging the facial image of the client according to the facial expression detection model which is trained successfully in advance, if the facial expression is frown, the client is judged to possibly need help, and position information is generated; the system also comprises a recommendation module, a service counselor and a service manager, wherein the recommendation module is used for acquiring identity information of the service counselor in chatting, sending position information to the service counselor and prompting the service counselor to go to a client who is waited for help;
and the processing module is also used for identifying the text information of the business replacement advisor, judging whether the problem is solved or not according to the text information, if the text information comprises 'please wait', extracting the business replacement advisor information bound with the relation of the client, and prompting the business replacement advisor to service the client.
By adopting the scheme, the working state of the employment counselor in the case field can be accurately judged, and the employment counselor in an idle state can be judged by combining the camera in the case field and the image and voice collected by the handheld terminal of the employment counselor; the employment consultant is prompted to help and serve clients in the case field in time, so that the employment consultant can conveniently and pertinently carry out work, and client loss is avoided.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is not described herein in any greater extent than that known in the art at the filing date or prior to the priority date of the application, so that those skilled in the art can now appreciate that all of the above-described techniques in this field and have the ability to apply routine experimentation before this date can be combined with one or more of the present teachings to complete and implement the present invention, and that certain typical known structures or known methods do not pose any impediments to the implementation of the present invention by those skilled in the art. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (10)
1. A client portrait system based on case images comprises a server, a business consultant terminal and a camera arranged at a building selling place, and is characterized in that the server comprises an input module, a processing module, a database, a judgment module and an output module, wherein:
the input module is used for acquiring a video image acquired by the camera;
the processing module is used for extracting a face image from the video image according to a face recognition algorithm, recognizing the identity of a client and storing the client identity in a database;
the judging module is used for judging the stay time of the client in the video image, recording the stay time as a client concern point if the stay time is greater than a first preset threshold value, and storing the client concern point in a database to be bound with the face image of the client;
and the output module is used for matching corresponding strategy information according to the client concern points and sending the strategy information to the business consultant terminal.
2. The case image-based customer imaging system according to claim 1, wherein: the database is also used for pre-storing historical face images of the business consultants; the processing module is also used for identifying a business consultant in the video image according to the historical face image, extracting the face image of the non-business consultant and obtaining the face image of the client.
3. The case image-based customer imaging system according to claim 2, wherein: the judging module is also used for receiving the face image of the client, processing the face image of the client according to a face detection model which is trained successfully in advance and generating estimated age information; and the output module is also used for matching the strategy information according to the age information.
4. The case image-based customer imaging system according to claim 2, wherein: the judging module is also used for receiving and judging the face image in the video image, and if the face image is a non-employment consultant face image and a client face image which is the same as the face image does not exist in the database, the face image is judged as a new user; on the contrary, if the face image is a non-working consultant face image and the same client face image as the face image exists in the database, the user is determined as an old user.
5. The case image-based customer imaging system according to claim 1, wherein: the device also comprises cameras arranged in each exhibition area; the judging module is also used for receiving and recording the quantity information of the visited areas of the clients according to the video images collected by the cameras; and if the quantity information is greater than a second preset threshold value, judging that the house purchasing will be achieved.
6. The case image-based customer imaging system according to claim 3, characterized in that: the judging module is also used for processing the face image of the client according to the face detection model successfully trained in advance to generate the gender information of the client; and the output module is also used for matching corresponding strategy information according to the gender information.
7. The customer picture method based on case images is characterized by comprising the following steps:
s1, acquiring a video image acquired by the camera;
s2, extracting a face image from the video image according to a face recognition algorithm, recognizing the identity of a client and storing the client in a database;
s3, judging the stay time of the client in the video image, if the stay time is more than a first preset threshold, recording the stay time as the client focus, and storing the client focus in a database to be bound with the face image of the client;
and S4, matching corresponding strategy information according to the client focus, and sending the strategy information to the business consultant terminal.
8. The method of claim 7, wherein the method comprises: the method further comprises the step of S31, receiving the face image of the client, processing the face image of the client according to the face detection model trained successfully in advance, and generating the estimated age information.
9. The method of claim 7, wherein the method comprises: step S32, receiving and judging the face image in the video image, if the face image is not the business consultant face image and the database does not have the same client face image with the face image, then judging the user is a new user; on the contrary, if the face image is a non-working consultant face image and the same client face image as the face image exists in the database, the user is determined as an old user.
10. The method of claim 7, wherein the method comprises: step S33, receiving and recording the quantity information of the visiting areas of the clients according to the video images collected by the cameras in each exhibition area; and if the quantity information is greater than a second preset threshold value, judging that the house purchasing will be achieved.
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| CN113486776A (en) * | 2021-07-02 | 2021-10-08 | 中标慧安信息技术股份有限公司 | Method and system for monitoring wearing condition of personal mask in market |
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