CN112348607A - Image-based shopping guide method, terminal, device, medium and system in commercial place - Google Patents
Image-based shopping guide method, terminal, device, medium and system in commercial place Download PDFInfo
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Abstract
The application provides an portrait-based shopping guide method, a terminal, a device, a medium and a system in a commercial place, which comprises the steps of utilizing a pedestrian detection algorithm to carry out pedestrian detection analysis on personnel entering the commercial place so as to obtain human body characteristic information of the personnel; constructing a corresponding person portrait according to the acquired human body characteristic information of the person; and determining shopping guide information suitable for the person according to the constructed person portrait, and sending the shopping guide information to one or more shopping guide devices closest to the current position of the person so as to display the shopping guide information by the shopping guide devices. This application carries out pedestrian detection analysis through gathering customer, acquires customer's human characteristic information and builds corresponding customer portrait, according to the shopping guide information who is suitable for customer with the affirmation to give back to customer with shopping guide information through intelligent shopping guide device, help promotes market managerial efficiency, avoid customer to influence shopping experience because of too big flow of people or information volume.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a method, a terminal, an apparatus, a medium, and a system for image-based shopping guide in a commercial site.
Background
With the development of society and economy, various commercial places such as shopping malls, office buildings, restaurants, exclusive shops and the like are in endlessly. Moreover, with the increase of the amount of economy, various commercial sites are also developing towards a larger and larger trend.
However, as the size of the commercial site increases, the large-scale commercial site also causes a consumer to be disturbed by an excessive amount of people and information, and thus the shopping experience of the consumer is affected. Therefore, there is a need in the art for a technical solution that can improve the efficiency of mall management and the shopping experience of consumers.
Content of application
In view of the above-mentioned shortcomings of the prior art, the present application aims to provide a method, a terminal, a device, a medium, and a system for portrait-based shopping guide in a commercial site, which are used to solve the technical problems of low management efficiency of a shopping mall and poor shopping experience of personnel in a large shopping mall in the prior art.
To achieve the above and other related objects, a first aspect of the present application provides a method for image-based shopping guide in a commercial site, comprising: carrying out pedestrian detection analysis on personnel entering a commercial place by utilizing a pedestrian detection algorithm to obtain human body characteristic information of the personnel; constructing a corresponding person portrait according to the acquired human body characteristic information of the person; and determining shopping guide information suitable for the person according to the constructed person portrait, and sending the shopping guide information to one or more shopping guide devices closest to the current position of the person so as to display the shopping guide information by the shopping guide devices.
In some embodiments of the first aspect of the present application, the portrait dimensions of the person representation include: any one or more combinations of facial features, age, gender, merchant stay, amount spent, and number of merchant visits.
In some embodiments of the first aspect of the present application, the method comprises: receiving inquiry information input by personnel from the shopping guide device; and generating shopping guide information corresponding to the inquiry information, and displaying the shopping guide information outwards through the shopping guide device.
In some embodiments of the first aspect of the present application, the method comprises: planning one or more paths leading to one or more business areas related to shopping guide information for personnel based on map data in the commercial site, and displaying the path information outwards through the shopping guide device.
To achieve the above and other related objects, a second aspect of the present application provides a shopping guide apparatus, comprising: the communication module is used for acquiring shopping guide information; the display module is used for displaying the acquired shopping guide information; wherein the shopping guide information is constructed by human body characteristic information of a person entering a commercial place, which is acquired by performing pedestrian detection analysis on the person using a pedestrian detection algorithm.
To achieve the above and other related objects, a third aspect of the present application provides a computer-readable storage medium having a computer program stored thereon, the computer program, when executed by a processor, implementing the representation-based shopping guide method in a commercial site provided by the first aspect of the present application.
To achieve the above and other related objects, a fourth aspect of the present application provides an electronic terminal comprising: a processor and a memory; the memory is used for storing computer programs, and the processor is used for executing the computer programs stored by the memory so as to enable the terminal to execute the portrait-based shopping guide method in the commercial place provided by the first aspect of the application.
As described above, the method, terminal, device, medium, and system for image-based shopping guide in a commercial site according to the present application have the following advantageous effects: this application carries out pedestrian detection analysis through gathering customer, acquires customer's human characteristic information and constructs corresponding customer portrait, according to the shopping guide information who is suitable for customer with the affirmation to give back shopping guide information to customer through intelligent shopping guide device, help customer avoid influencing shopping experience because of too big flow of people or information volume.
Drawings
Fig. 1 is a schematic plan view of a business in an embodiment of the present application.
FIG. 2 is a flowchart illustrating a method for image-based shopping guide in a business location according to an embodiment of the present application.
Fig. 3 is a schematic structural diagram of a shopping guide apparatus according to an embodiment of the present application.
Fig. 4 is a schematic structural diagram of an electronic terminal according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application is provided by way of specific examples, and other advantages and effects of the present application will be readily apparent to those skilled in the art from the disclosure herein. The present application is capable of other and different embodiments and its several details are capable of modifications and/or changes in various respects, all without departing from the spirit of the present application. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context indicates otherwise. It will be further understood that the terms "comprises," "comprising," and/or "comprising," when used in this specification, specify the presence of stated features, operations, elements, components, items, species, and/or groups, but do not preclude the presence, or addition of one or more other features, operations, elements, components, items, species, and/or groups thereof. The terms "or" and/or "as used herein are to be construed as inclusive or meaning any one or any combination. Thus, "A, B or C" or "A, B and/or C" means "any of the following: a; b; c; a and B; a and C; b and C; A. b and C ". An exception to this definition will occur only when a combination of elements, functions or operations are inherently mutually exclusive in some way.
Aiming at the problems that shopping experience is influenced by consumers due to overlarge pedestrian flow and information quantity in the existing commercial places, the application provides an portrait-based shopping guide method, a terminal, a device, a medium and a system in the commercial places to effectively solve the problems in the prior art.
The commercial place in the invention refers to all spatial forms related to commercial activities, is a space required in the current social commercial activities, and is a spatial environment for realizing commodity exchange, meeting the requirements of consumers and realizing commodity circulation. Commercial venues include, but are not limited to, spaces such as shopping malls, office buildings, restaurants, museums, exhibitions, exclusive stores, or hotels. With the development of the times, commercial places are continuously developing towards diversification, complication, science and technology and humanization.
As shown in fig. 1, a schematic plan view of a business in one embodiment of the present application is shown. In this embodiment, the business place specifically includes a business area 1, a business area 2, a business area 3, and a business area 4, wherein an elevator is provided between the business area 3 and the business area 4, a first safety outlet is provided between the business area 1 and the business area 3, and a second safety outlet is provided between the business area 2 and the business area 4. A customer may enter the business premises through the entrance of the business premises in the direction of arrow a and may follow the public area to the area of the business premises that the customer desires to access.
It should be noted that fig. 1 shows a schematic plan view of a commercial site, but does not mean that the technical solution of the present application is limited to a single-layer structure, and a commercial site may include a multi-layer structure (an upper-layer structure exposed on the ground, a lower-layer structure exposed on the ground, etc.), and this embodiment is not limited thereto.
In this embodiment, one or more first image capturing devices 11 are disposed at the entrance and exit of the commercial site, and are used for capturing image information of persons entering the commercial site, so as to extract the human body feature information and the current position information of the persons. The human body characteristic information comprises face characteristic information, body characteristic information, gait characteristic information, dress characteristic information, hair style characteristic information and the like.
Preferably, a plurality of first image capturing devices 11 are disposed at an entrance and an exit of the commercial site, and the first image capturing devices 11 are symmetrically disposed at two sides of the entrance and the exit, so that human body characteristic information of persons entering the commercial site from a plurality of different directions can be captured, a wider image capturing area is ensured, and subsequent intelligent analysis work, such as people flow statistics or management strategy release, is further facilitated.
In the embodiment, one or more second image capturing devices 12 are respectively disposed near one or more business areas in the business site for capturing image information of persons entering the business area for locating the positions of the persons in the site.
Preferably, one or more second image capturing devices 12 are disposed in the intersection area of the commercial site for capturing image information of persons in the intersection area, such as the second image capturing device disposed in the business area 3 and near the elevator and the second image capturing device disposed in the business area 4 and near the elevator in fig. 1.
It should be noted that the second image capturing devices for capturing the human body feature information of the person in the intersection area are not limited in number or in the merchant area 3 or the merchant area 4, and may be actually disposed in the merchant area 1, the merchant area 2, or any other position capable of aligning the viewing angle with the intersection area, which is not limited in this embodiment.
Preferably, one or more second image capturing devices 12 are disposed at a safe exit area in the commercial site for capturing image information of people at the safe exit area, such as the second image capturing device disposed at the business area 3 and near the safe exit (r) and the second image capturing device disposed at the business area 4 and near the safe exit (r) in fig. 1.
It should be noted that the second image capturing devices for capturing the human body feature information of the person in the safe exit area are not limited in number or in number to the merchant area 3 or the merchant area 4, and may be actually disposed in the merchant area 1, the merchant area 2, or any other position capable of aligning the viewing angle with the safe exit area, which is not limited in this embodiment.
Preferably, one or more second image capturing devices 12 are disposed at positions such that the capturing viewing angles thereof are aligned with the entrances and exits of the business areas, for capturing image information of persons in the public areas, for example, the second image capturing device disposed in the business area 1 and the second image capturing device disposed in the business area 2 in fig. 1.
It should be noted that the second image capturing devices for capturing the human body feature information of the people near the business area are not limited in number or in number to be disposed in the business area 1 or the business area 2, and may be disposed in the business area 3, the business area 4, or any other position capable of aligning the viewing angle with the area near the business, which is not limited in this embodiment.
Preferably, one or more second image acquisition devices 12 can also be arranged in the elevator area and used for acquiring the image information of the person who uses the elevator to go upstairs or downstairs; or the system can also be arranged in a public area and used for acquiring image information of personnel in the public area.
In the present embodiment, one or more shopping guide devices 13 are installed in public areas of the commercial site for providing shopping guide information to personnel in the site. The types of the shopping guide device include an intelligent shopping guide screen (represented by a black rectangle arranged in a merchant area 1 in fig. 1) or an intelligent shopping guide robot (represented by a black circle arranged in the merchant area 1 and a merchant area 2 in fig. 1), and the like. The intelligent shopping guide screen can realize interaction with customers through product induction and identification, the customers can change large-screen playing contents at any time and order interested product information, and the interactive shopping guide screen adds fun for purchasing. The shopping guide robot is an intelligent device for replacing manual shopping guide, and has the functions of shopping guide consultation, position guidance, product information transmission, communication interaction and the like.
The structure of the business site of the present application in one embodiment is described in detail above. The principles of portrait-based shopping guide within a business are further explained below with reference to specific embodiments.
FIG. 2 is a flow chart illustrating a method for image-based shopping guide in a business location according to an embodiment of the present application. The tracking method in the present embodiment includes step S201, step S202, and step S203.
The image-based shopping guide method in the business is applied to the background management equipment in the business. Such as a computer device including components such as memory, a memory controller, one or more processing units (CPUs), a peripheral interface, RF circuitry, audio circuitry, speakers, a microphone, an input/output (I/O) subsystem, a display screen, other output or control devices, and external ports; the computer device includes, but is not limited to, a Personal computer such as a desktop computer, a notebook computer, a tablet computer, a smart phone, a smart television, a Personal Digital Assistant (PDA). The background management device may also be, for example, a server, and the server may be arranged on one or more entity servers according to various factors such as functions and loads, or may be formed by a distributed or centralized server cluster, which is not limited in this embodiment.
In step S201, a pedestrian detection algorithm is used to perform pedestrian detection analysis on a person entering a commercial site to obtain human body characteristic information of the person.
In an embodiment, the human body feature information includes face feature information, and further includes any one or more combinations of body shape feature information, gait feature information, dress color feature, and hair style feature information. The facial feature information includes, but is not limited to, facial feature information (i.e., feature information of the eyebrows, eyes, ears, nose, mouth, etc.) or facial contour feature information, etc.; the gait characteristic information comprises but is not limited to characteristic information such as a traveling speed, a stepping size or a body swing amplitude; the hair style characteristic information includes but is not limited to characteristic information of no hair, short hair, long hair and the like.
In one embodiment, the Pedestrian Detection algorithm (Pedestrian Detection) is a computer algorithm that uses computer vision techniques to determine whether a Pedestrian is present in an image or video sequence and to give accurate positioning. The pedestrian detection algorithm includes, but is not limited to: a pedestrian detection algorithm based on global features, a pedestrian detection algorithm based on human body parts, or a pedestrian detection algorithm based on stereoscopic vision, etc.
The pedestrian detection algorithm based on global features includes but is not limited to: based on algorithms such as Haar wavelet features, HOG features, Edgelet features, Shapelet features or contour template features. The pedestrian detection algorithm based on the human body part is characterized in that a human body is divided into a plurality of components, then each component in an image is detected respectively, and finally, the detection results are integrated according to a certain constraint relation, and whether pedestrians exist is judged finally. The pedestrian detection algorithm based on the stereoscopic vision is that images are collected through 2 or more than 2 cameras, and then three-dimensional information of targets in the images is analyzed to identify pedestrians.
For the understanding of those skilled in the art, the HOG feature-based detection algorithm will be described as an example. Specifically, the HOG features and the SVM classifier are adopted to detect and acquire human body feature information, namely, HOG feature extraction is firstly carried out to generate feature descriptors, then the SVM classifier is trained by utilizing a training set, and then the classifier obtained through training is utilized to classify pedestrians, so that pedestrian detection based on the HOG features can be realized.
The hog (histogram of ordered grams) feature is a target detection descriptor, and a feature vector is formed by calculating and counting local region gradient histograms of images. The extraction step of the HOG features comprises the following steps:
1) the images are subjected to standardization processing by using correction methods such as Gamma and the like, the contrast of the images is adjusted, and the influence of the external environment is reduced;
2) obtaining the gradient amplitude and the direction of each pixel position in the image by utilizing the convolution of a gradient operator and the image;
3) dividing the image into a plurality of cell units, and counting a histogram in each cell unit by using a plurality of direction blocks;
4) combining the plurality of cells into blocks, further normalizing the gradient histogram;
5) and scanning the image to be detected by using blocks with specific sizes, and connecting HOG characteristics of the blocks corresponding to each scanning position in series according to a certain sequence to obtain the HOG characteristic vector.
The task of the SVM training stage is mainly to find an SVM model which is most suitable for the current classification problem by utilizing a large number of training samples and through continuous iteration. It should be noted that the HOG feature extraction and the training of the SVM classifier are both performed in the prior art, and therefore, the description thereof is omitted.
In step S202, a corresponding person image is constructed according to the acquired human body feature information of the person.
In one embodiment, the portrait dimensions of the person representation include: any one or more combinations of facial features, age, gender, merchant stay, amount spent, and number of merchant visits.
It should be noted that the portrait dimensions such as facial features, age, sex, etc. of the person can be obtained from the human body feature information of the person, the portrait dimensions such as the stay time of the merchant, the number of visits of the merchant, etc. can be obtained from the track of the person or the feedback information of the merchant, and the portrait dimensions such as the consumption amount, etc. can be obtained by means of a checkout system, a delivery system, or an award getting system (the award getting system is used for getting corresponding awards when a certain amount of goods is purchased, etc.).
In step S203, shopping guide information suitable for the person is determined according to the constructed person image, and the shopping guide information is sent to one or more shopping guide devices closest to the current position of the person, so that the shopping guide devices display the shopping guide information.
The current position information of the person to be subjected to shopping guide can be determined by the image acquisition device, one or more shopping guide devices closest to the position are determined by the current position information of the person to be subjected to shopping guide, and the shopping guide information is displayed for the person to be subjected to shopping guide through the shopping guide devices. In addition, the way that the shopping guide device displays the commodity information outwards includes but is not limited to: the display screen is used for displaying or the voice player is used for playing, the shopping guide robot is used for information interaction, and the like.
In one embodiment, the method comprises: receiving inquiry information input by personnel from the shopping guide device; and generating shopping guide information corresponding to the inquiry information, and displaying the shopping guide information outwards through the shopping guide device.
Specifically, the person in the commercial place inputs inquiry information to the shopping guide apparatus. The input mode is, for example, input by operating a touch screen of the shopping guide apparatus or voice input, and the input inquiry information is, for example, merchant region position information, product discount information, product introduction information, merchant region introduction information, ranking information of each merchant region according to different evaluation indexes (such as popularity index, service quality, benefit degree, formed year, popularity degree, and the like), and the like.
The shopping guide device receives inquiry information of personnel in a commercial place and then sends the inquiry information to the background management equipment, the background management equipment generates shopping guide information corresponding to the inquiry information according to the inquiry information, and feeds the generated shopping guide information back to the shopping guide device so as to display the shopping guide information outwards through the shopping guide device.
For example, the customer inputs inquiry information to the touch screen of the nearby shopping guide device by operating the touch screen, so as to inquire all sofa merchants having sales promotion and discount activities in the market of today. The shopping guide device sends the received inquiry information to the background management equipment, and the background management equipment calls information of all sofa merchants with sales promotion and discount activities in the market today and feeds the information back to the shopping guide device according to the inquiry information of the customer, so that the information of the sofa merchants is displayed to the customer through the shopping guide device. Preferably, the background management device can also sequence the sofa merchants according to the sales promotion and discount strength while calling the information of the sofa merchants so as to facilitate browsing of customers.
In one embodiment, the method comprises: planning one or more paths leading to one or more business areas related to shopping guide information for personnel based on map data in the commercial site, and displaying the path information outwards through the shopping guide device.
Specifically, background management equipment in a business place usually prestores map data in the business place, where the map data mainly includes a place structure of the business place, information of a floor and an area where each merchant is located in the place, location information of an elevator in the place, location information of a security exit, and the like. The background management equipment acquires the position information of the customer through the image acquisition device or acquires the position information of the customer through a shopping guide device selected by the customer, plans a path from the current position to the target position for the customer according to the current position information of the customer and the shopping guide information corresponding to the information inquired by the customer, and displays the planned path to the customer through the shopping guide device.
For example, the customer asks the shopping guide screen for the location information of the bed merchant, and the shopping guide screen sends the inquiry information of the customer to the background management device. After receiving the inquiry information, the back-office management device sets the position of the shopping guide screen as the current position of the customer, and plans one or more paths to the bedding merchant by taking the position of the bedding merchant as a destination, for example: the bed is arranged in the commercial tenant area on the left hand side, and the bed is arranged in the commercial tenant area on the left hand side.
Preferably, the backend management device selects a path with the shortest path from one or more paths planned by the backend management device and feeds the path back to the customer, or selects a path capable of reaching the merchant with the largest traffic from one or more paths planned by the backend management device and feeds the path back to the customer, or selects a path capable of reaching the merchant with the largest privilege from one or more paths planned by the backend management device and feeds the path back to the customer, and the embodiment is not limited.
Fig. 3 is a schematic structural diagram of a shopping guide apparatus according to an embodiment of the present application. The shopping guide device comprises a communication module 31 and a display module 32; the communication module 31 is used for acquiring shopping guide information, and the display module 32 is used for displaying the acquired shopping guide information, wherein the shopping guide information is constructed by human body characteristic information of a person entering a commercial place, which is acquired by carrying out pedestrian detection analysis on the person by using a pedestrian detection algorithm.
In an embodiment, the shopping guide apparatus further includes a voice interaction module 33, configured to obtain inquiry information input by a person, so that the communication module transmits the inquiry information to the outside.
It should be noted that the embodiment of the shopping guide apparatus provided in this embodiment is similar to the above embodiment of the image-based shopping guide method in the commercial site, and therefore, the detailed description thereof is omitted. In addition, it should be understood that the division of each module of the above apparatus is only a logical division, and the actual implementation may be wholly or partially integrated into one physical entity, or may be physically separated.
Fig. 4 is a schematic structural diagram of an electronic terminal according to an embodiment of the present application. This example provides an electronic terminal, includes: a processor 41, a memory 42, and a communicator 43; the memory 42 is connected to the processor 41 and the communicator 43 through a system bus to complete communication with each other, the memory 42 is used for storing computer programs, the communicator 43 is used for communicating with other devices, and the processor 41 is used for running the computer programs, so that the electronic terminal executes the steps of the portrait-based shopping guide method in the commercial site.
The above-mentioned system bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The system bus may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus. The communication interface is used for realizing communication between the database access device and other equipment (such as a client, a read-write library and a read-only library). The Memory may include a Random Access Memory (RAM), and may further include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory.
The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.
In one embodiment, the present application further provides a computer-readable storage medium having a computer program stored thereon, which when executed by a processor, performs the steps of the above portrait-based shopping guide method in a commercial site.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the above method embodiments may be performed by hardware associated with a computer program. The aforementioned computer program may be stored in a computer readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
To sum up, this application provides shopping guide method, terminal, device, medium and system based on portrait in the commercial place, and this application carries out pedestrian detection analysis through gathering customer, acquires customer's human characteristic information and constructs corresponding customer portrait, according to the shopping guide information who is suitable for customer in order to confirm, and give back shopping guide information to customer through intelligent shopping guide device, help customer avoid influencing shopping experience because of too big people flow or information content. Therefore, the application effectively overcomes various defects in the prior art and has high industrial utilization value.
The above embodiments are merely illustrative of the principles and utilities of the present application and are not intended to limit the application. Any person skilled in the art can modify or change the above-described embodiments without departing from the spirit and scope of the present application. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical concepts disclosed in the present application shall be covered by the claims of the present application.
Claims (10)
1. An portrait-based shopping guide method in a commercial site, the method comprising:
carrying out pedestrian detection analysis on personnel entering a commercial place by utilizing a pedestrian detection algorithm to obtain human body characteristic information of the personnel;
constructing a corresponding person portrait according to the acquired human body characteristic information of the person;
and determining shopping guide information suitable for the person according to the constructed person portrait, and sending the shopping guide information to one or more shopping guide devices closest to the current position of the person so as to display the shopping guide information by the shopping guide devices.
2. The method of claim 1, wherein the portrait dimensions of the person portrait comprise: any one or more combinations of facial features, age, gender, merchant stay, amount spent, and number of merchant visits.
3. The method according to claim 1, characterized in that it comprises:
receiving inquiry information input by personnel from the shopping guide device;
and generating shopping guide information corresponding to the inquiry information, and displaying the shopping guide information outwards through the shopping guide device.
4. The method according to claim 1, characterized in that it comprises:
planning one or more paths leading to one or more business areas related to shopping guide information for personnel based on map data in the commercial site, and displaying the path information outwards through the shopping guide device.
5. A shopping guide apparatus, comprising:
the communication module is used for acquiring shopping guide information;
the display module is used for displaying the acquired shopping guide information;
wherein the shopping guide information is constructed by human body characteristic information of a person entering a commercial place, which is acquired by performing pedestrian detection analysis on the person using a pedestrian detection algorithm.
6. The shopper device according to claim 5, further comprising:
and the voice interaction module is used for acquiring inquiry information input by personnel so that the communication module can transmit the inquiry information outwards.
7. The apparatus of claim 5, wherein the type of shopping guide apparatus comprises a 3D simulated shopping guide robot.
8. An electronic terminal, comprising a processor and a memory;
the memory is used for storing a computer program;
the processor is configured to execute the computer program stored in the memory to cause the terminal to perform the representation-based shopping guide method in a commercial site according to any one of claims 1 to 4.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a representation-based shopping guide method in a commercial site according to any one of claims 1 to 4.
10. An image-based shopping guide system in a commercial site, comprising the shopping guide device of claim 5, and further comprising the electronic terminal of claim 8.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008003860A (en) * | 2006-06-22 | 2008-01-10 | Fujitsu Ltd | Guide robot and guide method |
| CN107067284A (en) * | 2017-04-24 | 2017-08-18 | 济南浪潮高新科技投资发展有限公司 | A kind of accurate shopping guide method of individual character applied to big data |
| CN108921660A (en) * | 2018-06-29 | 2018-11-30 | 上海小蚁科技有限公司 | Consumption, which is drawn a portrait, determines method and device, storage medium, terminal |
| CN109165992A (en) * | 2018-07-16 | 2019-01-08 | 北京旷视科技有限公司 | A kind of intelligent shopping guide method, apparatus, system and computer storage medium |
| US20190034995A1 (en) * | 2017-07-31 | 2019-01-31 | Boe Technology Group Co., Ltd. | Intelligent shopping guide method and intelligent shopping guide device |
| CN109472649A (en) * | 2018-11-21 | 2019-03-15 | 奕铭（大连）科技发展有限公司 | A kind of market shopping guide system |
-
2019
- 2019-08-09 CN CN201910734724.1A patent/CN112348607A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008003860A (en) * | 2006-06-22 | 2008-01-10 | Fujitsu Ltd | Guide robot and guide method |
| CN107067284A (en) * | 2017-04-24 | 2017-08-18 | 济南浪潮高新科技投资发展有限公司 | A kind of accurate shopping guide method of individual character applied to big data |
| US20190034995A1 (en) * | 2017-07-31 | 2019-01-31 | Boe Technology Group Co., Ltd. | Intelligent shopping guide method and intelligent shopping guide device |
| CN108921660A (en) * | 2018-06-29 | 2018-11-30 | 上海小蚁科技有限公司 | Consumption, which is drawn a portrait, determines method and device, storage medium, terminal |
| CN109165992A (en) * | 2018-07-16 | 2019-01-08 | 北京旷视科技有限公司 | A kind of intelligent shopping guide method, apparatus, system and computer storage medium |
| CN109472649A (en) * | 2018-11-21 | 2019-03-15 | 奕铭（大连）科技发展有限公司 | A kind of market shopping guide system |
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