WO2020093923A1 - 目标物查找方法和设备 - Google Patents

目标物查找方法和设备 Download PDF

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Publication number
WO2020093923A1
WO2020093923A1 PCT/CN2019/114610 CN2019114610W WO2020093923A1 WO 2020093923 A1 WO2020093923 A1 WO 2020093923A1 CN 2019114610 W CN2019114610 W CN 2019114610W WO 2020093923 A1 WO2020093923 A1 WO 2020093923A1
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WIPO (PCT)
Prior art keywords
information
target
user
navigation
target object
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PCT/CN2019/114610
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English (en)
French (fr)
Inventor
宋淑芬
刘晓鹏
王磊
马胜飞
谢鹏
Original Assignee
京东方科技集团股份有限公司
合肥京东方光电科技有限公司
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Application filed by 京东方科技集团股份有限公司, 合肥京东方光电科技有限公司 filed Critical 京东方科技集团股份有限公司
Priority to US16/963,200 priority Critical patent/US11568473B2/en
Publication of WO2020093923A1 publication Critical patent/WO2020093923A1/zh

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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
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0631—Item recommendations
    • 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
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0623—Item investigation
    • G06Q30/0625—Directed, with specific intent or strategy
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B62—LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
    • B62B—HAND-PROPELLED VEHICLES, e.g. HAND CARTS OR PERAMBULATORS; SLEDGES
    • B62B5/00—Accessories or details specially adapted for hand carts
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/005—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 with correlation of navigation data from several sources, e.g. map or contour matching
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/20—Instruments for performing navigational calculations
    • G01C21/206—Instruments for performing navigational calculations specially adapted for indoor navigation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
    • G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
    • 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
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • 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
    • 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
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0639—Item locations

Definitions

  • the present disclosure relates to the field of intelligent navigation technology, and more particularly to a method and device for searching target objects.
  • a method for finding a target object including:
  • Information collection steps collect user demand information
  • Target determination step determine the target according to user needs information
  • Positioning and navigation steps obtaining user position information and target position information, and generating navigation information based on target position information and user position information;
  • Information output step output navigation information.
  • the user demand information includes at least one of voice information, image information, or text information input by the user.
  • the target object determination step includes: extracting target object-related information from user demand information; determining whether the target object-related information contains a unique identifier for the target object Precise identification information; in response to the target-related information containing precise identification information, determining the target based on the precise identification information; and in response to the target-related information not including precise identification information, recommending the target based on the target-related information .
  • the method before the information collection step, further includes: an information input prompt step: outputting first prompt information regarding input of demand information, wherein the first The prompt information includes at least one of audio information and video information.
  • the method further includes: acquiring the inventory quantity of the target object; from the target object related information Identify the demand quantity of the target object; determine whether the inventory quantity of the target object is less than the demand quantity; in response to the inventory quantity of the target object being less than the demand quantity, output a notice about insufficient inventory and alternative recommended objects related to the target object Second prompt information; determine whether the recommended item is selected; in response to the recommended item is selected, determine the recommended item as the target object, go to the positioning and navigation step; in response to the recommended item is not selected, go to the information input prompt step.
  • the method further includes: acquiring the attention degree of the target object, the attention degree is The current number of users corresponding to the target object; judging whether the target object's attention degree exceeds the first threshold; in response to the target object's attention degree exceeding the first threshold value, outputting about the target object's attention degree being too high and whether to update The third prompt information of the demand information; determine whether the user chooses to update the demand information, if yes, go back to the information collection step, otherwise go to the positioning and navigation step.
  • the method further includes: detecting the distance between the user and the target in real time; determining whether the distance is less than the second threshold; responding When the distance is less than the second threshold, the prompting device near the target is controlled to output fourth prompting information.
  • the prompting device includes an electronic tag
  • the fourth prompting information includes at least one of flashing or color changing.
  • the positioning and navigation step includes: acquiring real-time user location information and target object location information and generating navigation information based on the user real-time location information and target object location information, wherein The navigation information includes navigation route information and navigation prompt information.
  • the information output step includes: outputting navigation information in real time through at least one of audio and video modes.
  • the extracting the target object related information from the user demand information includes: determining whether the user demand information includes preset keywords; in response to the user demand information including Preset keywords, extract target related information according to preset keywords
  • the recommending the target object according to the target object related information includes recommending the target object based on the target object related information and related promotion information.
  • a target object searching device including:
  • Information collection component which is configured to collect user demand information
  • a target determination component configured to determine the target according to user demand information
  • a positioning and navigation component configured to obtain user position information and target position information and generate navigation information based on the target position information and user position information
  • An information output component configured to output navigation information.
  • the target searching device further includes: a distance detection component configured to detect the distance between the user and the target; a control component configured to determine the distance Whether it is less than the distance threshold, and if so, remotely control the electronic tag for the target in communication with the target searching device to output prompt information.
  • a computer-readable storage medium including computer-readable instructions stored thereon, the computer-readable instructions, when executed, implement a target object search method according to some embodiments of the present disclosure .
  • FIG. 1 shows a flowchart of a method for finding an object according to some embodiments of the present disclosure
  • FIG. 2 shows a flowchart of a method for finding an object according to some embodiments of the present disclosure
  • FIG. 3 shows a flowchart of a method for finding an object according to some embodiments of the present disclosure
  • FIG. 4 shows a flowchart of a method for finding an object according to some embodiments of the present disclosure
  • FIG. 5 shows a flowchart of a method for finding an object according to some embodiments of the present disclosure.
  • FIG. 6 shows a structural block diagram of an object search device according to some embodiments of the present disclosure.
  • target object in the present disclosure may refer to an item that a user wants to find or purchase, including, for example, a commodity in a shopping mall or a supermarket, or a goods in a warehouse, etc., and may also be something to be found stored in another target environment.
  • FIG. 1 illustrates an object search method according to some embodiments of the present disclosure.
  • a method for searching for an object according to some embodiments of the present disclosure may be implemented by using a device for searching for an object according to some embodiments of the present disclosure (see FIG. 6 and its corresponding description) in a store, supermarket, or logistics warehouse.
  • the target searching device can be integrated on a supermarket shopping cart or a warehouse transportation cart to facilitate real-time interaction with users.
  • the object searching method according to some embodiments of the present disclosure may also be implemented by using a non-dedicated object searching device, for example, a mobile terminal such as a mobile phone, a tablet computer, and an intelligent shelf system in a supermarket or warehouse wirelessly connected thereto, Positioning navigation system, commodity information system, etc.
  • a non-dedicated object searching device for example, a mobile terminal such as a mobile phone, a tablet computer, and an intelligent shelf system in a supermarket or warehouse wirelessly connected thereto, Positioning navigation system, commodity information system, etc.
  • the method for finding an object may include the following steps S110-S150. The steps are explained in detail below.
  • information collection step collect the demand information of the object.
  • "user” generally refers to a human user in human-computer interaction.
  • users that is, objects
  • guide devices which can be integrated in supermarket shopping carts
  • finding items such as goods or goods
  • warehouse trucks real-time human-computer interaction.
  • Human-computer interaction is the process of information exchange between users and interactive devices (such as computers, smart phones, etc.).
  • the human-computer interaction device needs to collect the information sent by the user, and then feedback based on the information sent by the user to complete the interactive process.
  • the information sent by the user may be expressed as demand information, that is, for example, information of the goods that the user or customer in the supermarket wants to purchase, such as name, category, model, style, manufacturer or brand, and so on.
  • the product information may include precise identification information that identifies the product, that is, identification information that uniquely identifies the product, for example, at least includes the manufacturer or brand, name, model, or style (for example, the user has a clear shopping goal, that is, purchases the specified product); also It may include vague identification information.
  • the demand information only includes the name (for example, the user only wants to buy a certain product but does not specify specific identification information such as brand and style).
  • the demand information may include the user's voice information.
  • the user's voice information can be collected by a voice collection device (such as a microphone) provided on the target object search device.
  • feedback information is output to the user based on the collected information.
  • the user's demand information may also include text information manually input by the user through an input device (such as a keyboard, a touch screen, etc.) on the target search device, and then the demand information may be collected through the input device.
  • the demand information may also be image information. For example, the elderly or people with language disabilities may not be able to accurately express language and input manually.
  • the target object searching device can collect the pictures or texts about the required products provided by the customer through the image acquisition device (such as a camera) to obtain the demand information .
  • the target object searching device may collect only voice information or only image information, and may also collect voice and image information at the same time.
  • S120 Step of determining the target object: determining the target object according to the demand information of the object.
  • the demand information input by the user can be recognized through an information recognition module (for example, a voice recognition module, an image recognition module, etc.), thereby determining the target commodity or item that the user wants to buy or find.
  • the voice recognition module converts the voice information input by the customer into an electric signal that can be recognized by the target searching device (or the positioning module and the navigation module), and the voice device module can be voice recognized by a non-specific person
  • the chip such as Syn7318 voice interaction module chip or other voice interaction chip
  • peripheral related circuits are composed.
  • the main function is to compare the feature vector parameters of the input voice with the reference model in the reference model library, and then compare the highest similarity.
  • the input feature vector is output as the recognition result, and finally achieves the purpose of speech recognition.
  • the target commodity information in the mall can be entered in the target object search device in advance. After the user demand information is identified, the target commodity that the user wants to purchase can be determined by comparing the identified commodity information with the commodity information in the mall.
  • the information related to the target product identified from the user demand information may include precise identification information identifying the product, that is, identification information uniquely identifying the product, for example, including at least a brand, name, model or style, etc., It may also only include vague identification information, for example, the demand information only includes the product category or name (for example, the user may only want to purchase a certain product but does not specify specific identification information such as brand, style, etc.). For the above two situations, you can determine the target product in different ways.
  • Positioning and navigation step acquiring user position information and target position information and generating navigation information according to the target position information and user position information.
  • the navigation route is planned and set based on the position information of the target product and the user And generate navigation information, such as video navigation lines or voice navigation prompts.
  • the navigation information may include at least one of video or audio information.
  • the position of the target product is usually fixed.
  • the location information of the target product can be obtained from the product information database in the store's internal inventory system or the target object search device, or when the target product is determined, the relevant person sends the target product's location information acquisition request based on the feedback information Get it.
  • the acquisition method may be performed according to any one of the above, or other existing methods, and is not specifically limited herein.
  • the user can locate himself through a positioning function (such as a GPS module) integrated in the user terminal (such as a mobile phone), and send the user's location information to the target object searching device through the terminal. Or directly use the GPS module in the target search device installed on the shopping cart to locate.
  • the location information of the user terminal or shopping cart can be regarded as the user's location information.
  • the user's location can be a dynamic location that changes in real time. Therefore, optionally, in order to obtain the real-time user location, the user can locate the user in real time.
  • an integrated local positioning navigation module in a computer system of a supermarket or a mall or in a target object search device may be generated based on target commodity location information and user location information.
  • Generating navigation information may include planning a navigation route and generating real-time navigation prompt information based on the user's real-time location information, including audio and / or video prompt information, so as to guide the customer or user to reach the target product location conveniently and quickly.
  • other devices with positioning and navigation can also be selected, which is not limited herein.
  • the positioning and navigation step S130 may include: acquiring user real-time location information and target object location information and generating navigation information according to the user real-time location information and target object location information, wherein the navigation information includes navigation route information and navigation Prompt information.
  • multiple different routes may be set for the user according to the actual space of the mall for the user to choose.
  • the optimal route can also be selected according to the user's shopping habits in multiple different navigation routes. For example, when the user is used to selecting the shortest route, the route with the shortest distance among multiple routes can be selected for the user.
  • users can also promote commodities or event commodities, so that users can keep abreast of the promotions or activities in the current shopping mall.
  • S140. Information output step output navigation information.
  • the navigation information can be output to the user to display the navigation information to the user, so that the user can search the target product according to the navigation route in the mall.
  • the information output step S140 may include outputting navigation information in real time through at least one of audio and video.
  • the output or display of the navigation information may include at least one of audio playback and video display.
  • the audio mode you can use the speaker to play the voice of navigation information; and for the video mode, you can use the display to display the navigation route and navigation information.
  • the output or display method of the navigation information can also be realized by any one or more of various methods such as text, voice, image, video and so on.
  • the corresponding mode can also be selected according to the hardware device in the target object searching device.
  • the object search method avoids a lot of manpower consumption, reduces labor costs, realizes the automation of item search or supermarket shopping guide, and improves user shopping Experience and significantly improve the efficiency of supermarket shopping guides and warehouse item search, and ultimately achieve effective enhancement of economic benefits.
  • FIG. 2 illustrates a method for finding an object according to some embodiments of the present disclosure.
  • the target determination step S120 shown in FIG. 1 may include the following steps S221-224.
  • the target object related information needs to be extracted from the demand information, that is, the information related to the product or the item that the user wants to buy, Therefore, the target object is determined according to the relevant information.
  • step S221 is completed in the following manner: first, determine whether the user demand information includes preset keywords; second, in response to the user demand information including preset keywords, extract according to the preset keywords Information about the target. For example, when a customer inputs audio or voice information (that is, demand information) through a microphone, keywords can be set in advance, and it is recommended to input according to common language (such as: I want to buy ... / I want to buy ...), which is conducive to the rapid and accurate voice recognition module Grab valid information, that is, information about the target.
  • the target object related information extraction step S221 may also directly identify the user demand information and extract target object related information therefrom.
  • the demand information may not contain the relevant information of the target, that is, the demand information is not related to the search of the target, and the prompt information of the input error may be output to remind the user to re-enter the demand information, and then respond to the user's re-entry, Return to step S110 to collect the demand information again.
  • the target-related information may contain precise identification information and fuzzy identification information, and the two need to be treated differently. Therefore, before determining the target, it is necessary to further identify the target-related information to determine whether it contains precise identification information or fuzzy identification information.
  • S223 In response to the target object related information containing precise identification information, determine the target object according to the precise identification information.
  • the target object can be directly determined based on the precise identification information, because the precise identification information itself can uniquely identify the target object. For example, it can be judged whether it conforms to the precise identification information according to the target-related information in the user demand information, and if it is, then the target device is directly determined based on the precise product information provided by the customer, for example, the product information is a brand A product.
  • the target-related information does not contain accurate identification information or only fuzzy identification information
  • specific target commodities can be predicted or recommended based on the fuzzy information (or information related to the target commodities).
  • the user demand information contains only the product name "shampoo" without specifying the brand, style and other specific identification information.
  • the name “shampoo” can be used in the target object search device or the supermarket networked with the target object search device Search for "shampoo” in the product information database of the system to obtain “shampoo” of multiple specific brands and styles; then you can recommend specific brands and styles to customers based on the promotional information or best-selling information of the products in the supermarket system database Choose one or more "shampoo” products, or directly designate a recommended product as the target product, and then use the positioning and navigation steps to make the customer reach the target product to purchase.
  • the target product directly specified by the system or the target object searching device may not be liked or wanted by the customer, since similar products are generally placed together in the supermarket or shopping mall, the customer is navigated to the specified target After the product, you can abandon the purchase of the target product and choose other similar products nearby.
  • the user may also be prompted to prompt the user that the required information does not meet the requirements, requesting the user to enter the accurate identification information again or to prompt the user of the current promotion Information for reference.
  • FIG. 3 shows a flowchart of a method for finding an object according to some embodiments of the present disclosure.
  • a method for finding an object according to some embodiments of the present disclosure may include steps S301-S340, where S310-S340 are the same as S110-140 in FIG.
  • the target object searching method may further include:
  • S301 Information input prompting step: output first prompt information about input of demand information, wherein the first prompt information includes at least one of audio information and video information.
  • a step S301 of outputting an information collection prompt may be added before the information collection step.
  • the device may issue a first prompt message requesting input of demand information, informing the user that voice or keyboard text input may be used to input shopping requirements, and then enter the information collection step S310-S340.
  • the first prompt information may include audio information, image information, video information, etc.
  • the information collection prompt may be realized by displaying prompt text or image or video through a display screen, or by playing a prompt voice through a speaker.
  • the first prompt information in the prompt step S301 of the information input may include the specification of the user's information input, for example, the input information should include the preset keywords (eg, I want to buy) as described above (see step S221) ... / I want to buy%), which is helpful for the information collection module (such as voice recognition module) to quickly and accurately capture valid information, that is, information about the target.
  • the input information should include the preset keywords (eg, I want to buy) as described above (see step S221) ... / I want to buy) as described above (see step S221) ... / I want to buy).
  • step S320 an additional step may be required to determine whether the stock quantity of the target in the supermarket or warehouse meets the customer's requirements. If the requirement is met, the subsequent positioning and navigation step S330 is continued; otherwise, the customer is reminded of inventory Insufficient and recommend related items. The user can choose whether to accept the recommendation or not. If accepted, the recommended item can be used as a new target, and the subsequent step S330 is continued; otherwise, it prompts to resubmit the demand information, that is, returns to step S301.
  • the following steps S302-S307 may be further included.
  • the target inventory quantity can be obtained from the database of the supermarket or warehouse system.
  • the desired target product may not be one, or may be multiple. therefore.
  • the demand information identified in step S310 may further include the demand quantity of the target commodity.
  • step S304 Determine whether the inventory quantity of the target object is less than the demand quantity. If yes, go to the positioning and navigation step S330, otherwise go to step S305.
  • S305 In response to the inventory quantity of the target object being less than the required quantity, output second prompt information about the inventory shortage notification and the recommended object related to the target object for selection.
  • step S306. Determine whether the user selects the recommended item. If yes, go to step S307. Otherwise, go to step S301, that is, output the first prompt message again.
  • step S307 in response to the recommended object being selected, the recommended object is determined as the target object, and then step S330 is performed.
  • FIG. 4 shows a flowchart of a method for finding an object according to some embodiments of the present disclosure.
  • the target search method may include steps S410-440 that are the same as steps S110-S140 shown in FIG. 1, except that between S420 and S430, the target search The method also includes the following steps S450-480.
  • S450 Determine the attention degree of the target object, where the attention degree is the number of users corresponding to the target object.
  • the attention of the target or target product
  • the attention threshold as an upper limit of whether the attention is too high, it can be called a first threshold.
  • the attention degree of the target object may be defined as the number of users corresponding to the current target object, that is, the number of users who currently follow or want to purchase the target object.
  • the attention of a commodity refers to how many users in the supermarket are currently designated as "target objects" by the commodity. Therefore, according to the size of the degree of attention, it can be judged whether the target location is crowded, and then take corresponding strategies according to whether it is crowded or not, such as prompting the user when the crowd is crowded and suggesting to buy similar products or re-entering the demand information, when not crowded, the subsequent steps can be directly performed (S430 Positioning and navigation steps).
  • the attention degree of the target object may be determined according to the number of users currently paying attention to the target object among all customers in the supermarket or mall, that is, the current cumulative number of users of the target object determined to be the target object.
  • step S460 Determine whether the attention degree of the target object exceeds the first threshold, if not, go to step S430, otherwise go to step S470.
  • the attention degree of the target is R (natural number)
  • the upper limit of the attention degree set in advance that is, the first threshold is S (natural number).
  • R> S similar recommended product information can also be output for the user to choose.
  • the product's attention R decreases by 1, and it returns to the information collection step to re-collect the information; in addition, when the target search device outputs the recommended product, the user can also directly select the recommended product as the target And continue to the next steps. If you receive a disapproval feedback from the user and still want to purchase the product at this time, R will remain unchanged and continue to the next steps.
  • FIG. 5 illustrates a method for finding an object according to some embodiments of the present disclosure.
  • the target object searching method may further include:
  • S560 Determine whether the distance is less than the second threshold
  • step S570 in response to the distance being less than the second threshold, controlling the prompting device near the target object to output fourth prompt information, otherwise returning to step S550, and continuing to detect the distance between the user and the target object.
  • a supermarket can be used Or a prompting device near the target on the intelligent shelf of the warehouse, for example, an electronic price tag or an electronic label used to mark information such as the price and name of the target, and prompting the user, such as flashing or changing color, to help the user quickly find the target.
  • the proximity of the user to the target object can be described by a preset distance threshold, that is, a second threshold.
  • the distance threshold range can be determined according to the size of the shopping mall and the density of the merchandise. Obviously, when the current distance between the user and the target detected in real time is less than the second threshold, it means that the two are very close.
  • the prompting device of the target uses the second prompt information such as flashing and discoloration to prompt the user, which is convenient The user finds the target.
  • real-time detection of the distance between the user and the target object can be achieved through the navigation module in the target object searching device.
  • the prompting device may be an electronic tag for goods or goods, such as an electronic price tag or an electronic tag, the electronic tag may be regarded as a display for displaying information related to the goods or goods Screen.
  • the prompt device built in the electronic price tag can be controlled to prompt, for example, when the electronic price tag is a display screen, the method can be controlled according to the method described in this embodiment.
  • the display screen of the electronic price tag displays a prompt message.
  • the user can be prompted by changing the color displayed on the display screen or flashing the control of the display screen, or flashing while changing the color. This ensures that when the user is near the target product, the target product can be locked according to the above prompting method.
  • the fourth prompt information may also adopt other methods, for example, the prompt device may include an audio output component capable of issuing a voice prompt.
  • the corresponding prompting method can also be selected according to the actual hardware configuration of the prompting device (such as an electronic tag).
  • the prompting device to prompt when the distance between the user and the target product is less than the preset distance threshold, it can ensure that the user finds the desired target product accurately and in time, and improves the efficiency of target product shopping guide or target item search.
  • FIG. 6 shows a structural block diagram of an object search device according to some embodiments of the present disclosure.
  • the target object searching method according to some embodiments of the present disclosure may be completed by the target object searching device shown in FIG. 6.
  • the target object searching device 600 includes:
  • the information collection component 601 is configured to collect user demand information
  • the target determination component 602 is configured to determine the target according to user demand information
  • the positioning and navigation component 603 obtains user position information and target position information, and generates navigation information according to the target position information and user position information;
  • the information output component 604 outputs navigation information.
  • the information collection component 601 may include a voice information collector, such as a microphone for receiving audio signals; and / or an image information collector, such as a camera or camera for collecting or capturing images or videos.
  • a voice information collector such as a microphone for receiving audio signals
  • an image information collector such as a camera or camera for collecting or capturing images or videos.
  • the information output component 604 may include a video output device for displaying information to the user through images, video clips, text, and other visual means, such as a display, or output to the user through auditory means such as sound Information audio output devices, such as speakers.
  • the object determination component 602 may include a voice information recognition circuit and an image information recognition circuit, which may be a circuit system or device configured to have functions of reading, recognizing, and processing voice signals and image signals, respectively.
  • the positioning and navigation component 603 may include a GPS positioning system for positioning and a local navigation module for generating navigation information.
  • specific hardware configurations of the target object searching device may include: MIC array board, SOC main board, GPS, camera, power board, display screen, WIFI antenna, and speaker.
  • the MIC array board is used as a sound collection component for receiving voice information
  • the SOC motherboard is used as the aforementioned processor for data processing, executing computer programs to schedule corresponding hardware to achieve target search, and through the WIFI antenna and cloud server Or computer system or commodity or goods information database of supermarket or warehouse for data communication
  • GPS is used for positioning and navigation
  • camera is used as image acquisition component
  • speaker is used for playing voice
  • display screen is used for outputting image or video information
  • power board is used for Power each component.
  • the target search device is not limited to the above-mentioned structure.
  • the target finding device 600 according to the present disclosure may be set on a smart shopping cart in a supermarket or a cargo transport vehicle in a warehouse to realize real-time human-machine interaction between the user and the device, thereby realizing target automation Find.
  • the target object searching device 600 further includes:
  • the distance detection component 605 is configured to detect the distance between the user and the target in real time
  • the control component 606 is configured to determine whether the distance is less than a distance threshold, and if so, remotely control the electronic tag for the target in communication with the target search device to output prompt information.
  • the distance detection component 605 and the control component 606, as well as the above-mentioned positioning and navigation component 603 and other components may include separate hardware, software, firmware, or a combination thereof that implements the corresponding functions, for example, may be equipped with data transmission and processing capabilities Processors, single-chip computers, chips, discrete logic circuits with logic gate circuits for implementing logic functions on data signals, dedicated integrated circuits with appropriate combinational logic gate circuits, programmable gate arrays (Programmable Gate Array), field Program gate array (Field Programmable Gate Array), etc., or any combination of two or more of the above hardware.
  • Processors single-chip computers, chips, discrete logic circuits with logic gate circuits for implementing logic functions on data signals, dedicated integrated circuits with appropriate combinational logic gate circuits, programmable gate arrays (Programmable Gate Array), field Program gate array (Field Programmable Gate Array), etc., or any combination of two or more of the above hardware.
  • the electronic tag may include an electronic price tag or an electronic tag used to identify goods or items
  • the prompt information may include the electronic tag corresponding to the target object changing color and / or blinking to prompt the user or customer The location of the target.
  • a smart shopping cart including a target finding device according to some embodiments of the present disclosure.
  • the target search device according to the present disclosure may be set in a shopping cart to facilitate customers, or users to automatically, quickly and accurately realize product search and navigation through human-computer interaction with the target search device.
  • a computer-readable storage medium on which a computer-readable instruction is stored in a memory, and when executed, the computer-readable instructions implement an object search method according to some embodiments of the present disclosure.
  • Any process or method description in a flowchart or otherwise described herein may be understood as representing a module, segment, or portion of code that includes one or more executable instructions for implementing custom logic functions or steps of a process, And the scope of the preferred embodiments of the present disclosure includes additional implementations in which the functions may not be performed in the order shown or discussed (including in a substantially simultaneous manner or in reverse order according to the functions involved, which should be It is understood by those skilled in the art to which the embodiments of the present disclosure belong.
  • a "computer-readable medium” may be any device that may contain, store, communicate, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device.
  • Computer-readable media may include, for example, the following items: an electrical connection (electronic device) with one or more wires, a portable computer cartridge (magnetic device), a random access memory (RandomAccess Memory), only Read memory (Read Only Memory), erasable and editable read-only memory (Erasable Programmable Read Only Memory) or flash memory, optical fiber devices, and portable disc read-only memory (Compact Disc Read Only Only Memory).
  • the computer-readable medium may even be paper or other suitable medium on which the program can be printed, because, for example, by optically scanning the paper or other medium, followed by editing, interpretation, or other appropriate if necessary Process to obtain the program electronically and then store it in computer memory.
  • the terms “component”, “module”, “apparatus”, etc. may generally refer to computer-related entities, or a combination of hardware, hardware and software, software, or executed software, unless the context dictates otherwise Explain clearly.
  • such components may be, but are not limited to, processes running on the processor, processors, objects, executable files, threads of execution, programs, and / or computers.
  • both the application running on the controller and the controller can be components.
  • One or more components can reside within a process and / or thread of execution, and a component can be localized on one computer (device) and / or distributed between two or more computers (devices).
  • each functional unit in each embodiment of the present disclosure may be integrated into one processing module, or each unit may exist alone physically, or two or more units may be integrated into one module.
  • the above integrated modules may be implemented in the form of hardware or software function modules. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

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Abstract

一种目标物查找方法和设备。该目标物查找方法包括：采集用户需求信息（S110）；根据用户需求信息确定目标物（S120）；定位用户和目标物并根据定位信息生成导航信息（S130）；以及输出导航信息（S140）。

Description

目标物查找方法和设备
相关申请
本申请要求2018年11月7日提交的申请号为201811316769.9的中国专利申请的优先权，该专利申请的所有内容通过引用合并于此。
技术领域
本公开涉及智能导航技术领域，更具体地涉及一种目标物查找方法和设备。
背景技术
随着社会的发展，超市已经成为了人们日常生活的一部分。当顾客在超市购物时，通常需要根据超市的导购员或者指示牌的指示查找所需的商品。然而，随着商品种类的增多及超市规模的扩大，仅仅依靠导购员或指示牌来导购效率较低，不能满足顾客的需要，严重影响用户体验，而且这样的传统导购方式往往需要消耗较大人力成本，这些都可能使超市的经济效益受到影响。
发明内容
根据本公开的一个方面，提供一种目标物查找方法，包括：
信息采集步骤：采集用户需求信息；
目标物确定步骤：根据用户需求信息确定目标物；
定位导航步骤：获取用户位置信息和目标物位置信息，并根据目标物位置信息和用户位置信息生成导航信息；以及
信息输出步骤：输出导航信息。
在根据本公开的目标物查找方法的一些实施例中，所述用户需求信息包括用户输入的语音信息、图像信息或文字信息中至少一种。
在根据本公开的目标物查找方法的一些实施例中，所述目标物确定步骤包括：从用户需求信息中提取目标物相关信息；判断所述目标物相关信息是否包含用于唯一标识目标物的精确标识信息；响应于所述目标物相关信息包含精确标识信息，根据所述精确标识信息确定目标物；以及响应于所述目标物相关信息不包含精确标识信息，根据目 标物相关信息推荐目标物。
在根据本公开的目标物查找方法的一些实施例中，在所述信息采集步骤之前，所述方法进一步包括：信息输入提示步骤：输出关于需求信息输入的第一提示信息，其中所述第一提示信息包括音频信息和视频信息中至少一种。
在根据本公开的目标物查找方法的一些实施例中，在所述目标物确定步骤之后且在所述定位导航步骤之前，所述方法进一步包括：获取目标物的库存数量；从目标物相关信息中识别目标物的需求数量；判断所述目标物的库存数量是否小于需求数量；响应于所述目标物库存数量小于需求数量，输出关于库存不足通知以及供选择的与目标物相关的推荐物的第二提示信息；判断推荐物是否被选择；响应于推荐物被选择，将推荐物确定为目标物，转到所述定位导航步骤；响应于推荐物未被选择，转到所述信息输入提示步骤。
在根据本公开的目标物查找方法的一些实施例中，在所述目标物确定步骤之后且在所述定位导航步骤之前，所述方法进一步包括：获取目标物的关注度，所述关注度为在当前所述目标物所对应的用户的数量；判断目标物的关注度是否超过第一阈值；响应于目标物的关注度超过第一阈值，输出关于所述目标物关注度过高以及是否更新需求信息的第三提示信息；判断用户是否选择更新需求信息，若是则转回到所述信息采集步骤，否则转到定位导航步骤。
在根据本公开的目标物查找方法的一些实施例中，在目标物确定步骤之后，所述方法进一步包括：实时检测用户与目标物之间的距离；判断所述距离是否小于第二阈值；响应于所述距离小于第二阈值，控制目标物近旁的提示装置输出第四提示信息。
在根据本公开的目标物查找方法的一些实施例中，所述提示装置包括电子标签，并且第四提示信息包括闪烁或变色中至少一种。
在根据本公开的目标物查找方法的一些实施例中，所述定位导航步骤包括：获取用户实时位置信息和目标物位置信息并且根据用户实时位置信息和目标物的位置信息生成导航信息，其中所述导航信息包括导航线路信息和导航提示信息。
在根据本公开的目标物查找方法的一些实施例中，所述信息输出步骤包括：通过音频和视频方式中至少一种实时输出导航信息。
在根据本公开的目标物查找方法的一些实施例中，所述从用户需求信息中提取目标物相关信息包括：判断所述用户需求信息是否包含预设关键词；响应于所述用户需求信息包含预设关键词，根据预设关键词提取目标物相关信息
在根据本公开的目标物查找方法的一些实施例中，所述根据所述目标物相关信息推荐目标物包括根据所述目标物相关信息以及与相关促销信息推荐目标物。
根据本公开的另一方面，提供一种目标物查找设备，包括：
信息采集组件，其配置成采集用户需求信息；
目标物确定组件，其配置成根据用户需求信息确定目标物；
定位导航组件，其配置成获取用户位置信息和目标物位置信息并根据目标物位置信息和用户位置信息生成导航信息；以及
信息输出组件，其配置成输出导航信息。
在根据本公开的目标物查找设备的一些实施例中，该目标物查找设备进一步包括：距离检测组件，其配置成检测用户与目标物之间的距离；控制组件，其配置成判断所述距离是否小于距离阈值，若是，则远程控制与目标物查找设备通信连接的用于目标物的电子标签以输出提示信息。
根据本公开的又一个方面，提供一种计算机可读存储介质，包括存储在其上的计算机可读指令，所述计算机可读指令在被执行时实现根据本公开一些实施例的目标物查找方法。
附图说明
通过阅读下文优选实施方式的详细描述，各种其他的优点和益处对于本领域普通技术人员将变得清楚明了。附图仅用于示出优选实施方式的目的，而并不认为是对本公开的限制。而且在整个附图中，用相同的参考符号表示相同的部件。在附图中：
图1示出了根据本公开一些实施例的目标物查找方法的流程图；
图2示出了根据本公开一些实施例的目标物查找方法的流程图
图3示出了根据本公开一些实施例的目标物查找方法的流程图；
图4示出了根据本公开一些实施例的目标物查找方法的流程图；
图5示出了根据本公开一些实施例的目标物查找方法的流程图； 以及
图6示出了根据本公开一些实施例的目标物查找设备的结构框图。
具体实施方式
下面将参照附图更详细地描述本公开的示例性实施例。虽然附图中显示了本公开的示例性实施例，然而应当理解，可以以各种形式实现本公开而不应被这里阐述的实施例所限制。相反，提供这些实施例是为了能够更透彻地理解本公开。
在相关技术中，例如在超市或商场中，人工导购方法通过导购员或人工制作的广告牌或指示牌进行导购，这种方式功能单一、效率较低且人力成本较大；而现有的购物导航系统大都仅有定位功能，无法对超市内商品数据信息进行统计处理，也无法直观响应顾客。有鉴于此，本公开提供了一种能够至少克服相关技术的上述问题的用于目标物查找方法和设备，其能够广泛用于超市、商场、大型购物中心的商品导购，也可以用于物流仓库的货物查找。本公开中的“目标物”可能指用户想要查找或购买的物品，包括例如商场或超市中的商品或仓库中的货物等，也可以是其他目标环境中储存的待查找的东西。
图1示出根据本公开一些实施例的目标物查找方法。示例性地，根据本公开一些实施例的目标物查找方法可以利用商店、超市或物流仓库等中的根据本公开一些实施例的目标物查找设备(参见图6及其相应描述)来实现。一般地，该目标物查找设备可以集成在超市购物车或仓库运输车上以便于与用户之间的实时交互。此外，根据本公开一些实施例的目标物查找方法也可以利用非专用目标物查找设备实现，例如可以利用手机、平板电脑之类的移动终端连同与其无线连接的超市或仓库中的智能货架系统、定位导航系统、商品信息系统等实现。
如图1所示，本公开一些实施例的用于目标物查找方法可以包括以下步骤S110-S150。下面分别详细解释这些步骤。
S110，信息采集步骤：采集对象的需求信息。
在根据本公开的一些实施例中，“用户”一般是指人机交互中的人类用户。为了克服人工向导或指示牌导购的弊端，实现高效的自动化导购或导引，需要通过用户(即对象)与用于物品(例如商品或货物) 查找的导引设备(其可以集成在超市购物车或仓库运输车上)之间的实时人机交互实现。人机交互就是用户与交互设备(例如计算机、智能手机等)之间信息交换的过程。作为人机交互的第一步，人机交互设备需要采集用户发出的信息，随后根据用户发出的信息进行反馈，从而完成交互过程。
在本公开的一些实施例中，用户发出的信息可以表述为需求信息，即例如超市中的用户或顾客想要购买的商品的信息，例如名称、类别、型号、款式、厂商或品牌等等。该商品信息可以包括标识该商品的精确标识信息，即唯一标识该商品的标识信息，例如至少包括厂商或品牌、名称、型号或款式等(例如用户购物目标明确，即购买指定的商品)；也可以包括模糊的标识信息，例如需求信息中仅包括名称(例如用户只想购买某种商品但并未指定品牌、款式等具体标识信息)。
在步骤S110中，需求信息可以包括用户的语音信息。例如，可以通过设置在目标物查找设备上的语音采集装置(如麦克风)采集用户的语音信息。随后在后续步骤中根据所采集的信息，向用户输出反馈信息。此外，用户的需求信息也可以包括用户通过目标物查找设备上的输入装置(例如键盘、触控屏等)手动输入的文字信息，这时可以通过该输入装置进行需求信息采集。可选地，需求信息还可以是图像信息。例如，老年人或语言障碍者等可能无法准确进行语言表达和手动输入，这时目标物查找设备可以通过图像采集装置(例如摄像头)采集顾客提供的关于所需商品的图片或文字来获取需求信息。在一些实施例中，目标物查找设备可以仅采集语音信息或仅采集图像信息，也可以同时采集语音和图像信息。
S120，目标物确定步骤：根据对象的需求信息确定目标物。
在采集到对象的需求信息之后，可以通过信息识别模块(例如语音识别模块、图像识别模块等)对用户输入的需求信息进行识别，由此确定用户想要购买或查找的目标商品或物品。以需求信息为语音信息为例，语音识别模块将顾客输入的语音信息转换为目标物查找设备(或其中的定位模块及导航模块)可识别的电信号，该语音设备模块可由非特定人语音识别芯片(如Syn7318语音交互模块芯片或其他语音交互芯片)及外围相关电路构成，主要功能是将输入语音的特征矢量参数和参考模型库中的参考模型进行相似性度量比较，然后把相似性 最高的输入特征矢量作为识别结果输出，最终达到语音识别的目的。
在超市或商场中，为了准确地确定目标商品，可以预先在目标物查找设备中录入商场中的全部商品信息。当用户需求信息被识别之后时，可以通过将识别出的商品信息与商场中的商品信息进行对比，从而确定用户想要购买的目标商品。
如上文所述，从用户需求信息中识别出的与目标商品相关的信息可以包括标识该商品的精确标识信息，即唯一标识该商品的标识信息，例如至少包括品牌、名称、型号或款式等，也可能仅包括模糊的标识信息，例如需求信息中仅包括商品类别或名称(例如，用户可能只想购买某种商品但并未指定品牌、款式等具体标识信息)。针对上述两种情况，可以采用不同的方式确定目标商品。
S130，定位导航步骤：获取用户位置信息和目标物位置信息并根据目标物位置信息和用户位置信息生成导航信息。
为了实现基于人机交互的自动化物品查找导引或导购，在确定了目标物之后，需要正确定位用户和目标物位置，然后基于目标商品的位置信息以及用户的位置信息进行导航路线的规划和设置，并生成导航信息，例如视频导航线路或语音导航提示。该导航信息可以包含视频或音频信息中至少一种。
在本步骤S130中，目标商品的位置通常是固定不变的。对于目标商品的位置信息的获取，可以从商场内部的库存系统中或目标物查找设备中的商品信息数据库获取，或者当确定目标商品后相关人员发送目标商品的位置信息获取请求并基于反馈的信息进行获取。在此，对于获取方式可以根据上述任一种，或其他现有方式进行，在此并不做具体的限定。另一方面，用户可以通过用户终端(例如手机)中集成的定位功能(例如GPS模块)来对自身进行定位，并通过该终端将用户位置信息发送至目标物查找设备。或者直接利用安装在购物车上的目标物查找设备中的GPS模块进行定位。由于用户终端或购物车与用户的距离非常近，因此，用户终端或购物车的位置信息可视为是用户的位置信息。与目标商店的固定位置不同，用户的位置可以是实时变化的动态位置。因此，可选地，为了获取实时用户位置，用户可以实时地对用户进行定位。
在根据本公开的一些实施例中，关于导航信息，可以利用超市或 商场的计算机系统中或目标物查找设备中的集成的局域定位导航模块根据目标商品位置信息和用户位置信息生成。生成导航信息可以包括规划导航路线，以及根据用户实时位置信息生成实时导航提示信息，包括音频和/或视频提示信息，以便引导顾客或用户方便快捷地到达目标商品位置。当然，也可以选择其他具有定位及导航的装置进行，在此并不做限定。在一些实施例中，定位导航步骤S130可以包括：获取用户实时位置信息和目标物位置信息并且根据用户实时位置信息和目标物的位置信息生成导航信息，其中所述导航信息包括导航线路信息和导航提示信息。
在一些实施例中，规划导航信息过程中可以根据商场的实际空间为用户设置多条不同的路线以供用户的选择。当然，还可以在多个不同的导航路线中根据用户的购物习惯选取最优路线，例如当用户惯于选择最短路线时，则可以为用户选取多条路线中距离最短的路线。当然，还可以根据商场的促销或活动信息，确定相关商品，并根据促销商品或者活动商品的位置信息，为用户规划可以引导用户至目标商品的过程中途径上述活动商品或促销商品的路线，以便用户在选购目标商品的过程中还可以途径促销商品或活动商品，能够使用户及时了解当前商场的促销或活动情况。
S140，信息输出步骤：输出导航信息。
在经过前述步骤S130规划了导航路线其生成了导航信息之后，可以将该导航信息输出给用户，以向用户展示导航信息，从而可以使得用户在商场中根据该导航路线进行目标商品的查找。在一些实施例中，信息输出步骤S140可以包括通过音频和视频方式中至少一种实时输出导航信息。
具体地，在本步骤中，导航信息的输出或展示可以包括音频播放和视频显示两种方式中至少一种。对于音频方式，可以利用扬声器进行导航信息的语音播放；而对于视频方式，则可以利用显示器显示导航路线和导航信息。关于导航信息的输出或展示方式，也可以通过文字、语音、图像、视频等各种方式中任一种或多种方式实现。具体地，也可以根据目标物查找设备中硬件装置进行对应方式的选取。
在根据本公开一些实施例的目标物查找方法中，通过简单直观的人机交互(语音或图像信息的输入和导航信息的输出)，根据用户需求 信息确定针对目标物的导航信息，从而实现了用户对目标商品或物品位置的快速、便捷、准确的查找。与相关技术的人工导购和超市导航系统相比，根据本公开一些实施例的目标物查找方法避免了大量的人力消耗、降低了人力成本、实现了物品查找或超市导购的自动化、提升了用户购物体验且显著提高了超市导购和仓库物品查找的效率，最终实现了经济效益的有效增强。
图2示出根据本公开一些实施例的目标物查找方法。如图2所示，图1所示的目标物确定步骤S120可以包括下述步骤S221-224。
S221，从用户需求信息中提取目标物相关信息；
由于从用户采集需求信息不一定都与目标物相关，因此在目标物确定过程中，首先需要从需求信息中提取目标物相关信息，即与用户想要购买的商品或查找的物品相关的信息，从而根据该相关信息确定目标物。
在一些实施例中，步骤S221通过下述方式完成：首先，判断所述用户需求信息是否包含预设关键词；其次，响应于所述用户需求信息包含预设关键词，根据预设关键词提取目标物相关信息。例如，当顾客通过麦克风输入音频或语音信息(即需求信息)，可以预先设定关键词，建议按照常用语(如：我想买…/我要买…)输入，这样有利于语音识别模块快速准确抓取有效信息，即目标物相关信息。可选地，对于需求信息不包含预设关键词的情况，目标物相关信息提取步骤S221也可以直接识别用户需求信息，从中提取出目标物相关信息。
当然，需求信息中也可能不包含目标物相关信息，即需求信息与目标物查找毫无关联，则可以输出输入错误的提示信息，以提醒用户重新输入需求信息，随后响应于用户的重新输入，回到步骤S110重新采集需求信息。
S222，判断目标物相关信息是否包含用于唯一标识目标物的精确标识信息。
如上文所述，目标物相关信息中可能包含精确标识信息和模糊标识信息，二者需要区别对待。因此，在确定目标物之前，首先必须对目标物相关信息进行进一步识别以判断其中包含的是精确标识信息还是模糊标识信息。
S223，响应于目标物相关信息包含精确标识信息，根据精确标识 信息确定目标物。
对于精确标识信息，显然可以直接根据精确标识信息确定目标物，因为精确标识信息本身能够唯一标识目标物。例如，可以根据用户需求信息中的目标物相关信息，判断其是否符合精确标识信息，若是则根据顾客提供的精确商品信息，如商品信息为A品牌a商品，直接确定目标设备。
S224，响应于目标物相关信息不包含精确标识信息，根据目标物相关信息推荐目标物。
当目标物相关信息中不包含精确标识信息或仅包含模糊标识信息时，可以根据该模糊信息(或与目标商品相关的信息)预测或推荐具体的目标商品。例如，用户需求信息中仅包含商品名称“洗发水”而并未指定品牌、款式等具体标识信息，这时可以根据名称“洗发水”在目标物查找设备中或与目标物查找设备联网的超市系统的商品信息数据库中搜索“洗发水”，从而得到多个具体品牌和款式的“洗发水”；随后可以根据超市系统数据库中的该类产品的促销信息或畅销信息向顾客推荐特定品牌和款式的一种或多种“洗发水”产品供其选择，或者直接指定所推荐的一款产品作为目标商品，随后通过定位和导航步骤使顾客到达目标商品的位置进行购买。需要说明，尽管系统或目标物查找设备直接指定的目标商品可能并非顾客喜欢的或想要的，但是由于在超市或商场中同类商品一般会被放置在一起，因此顾客被导航到该指定的目标商品之后可以放弃购买该目标商品，而就近挑选其他的同类商品。
此外，可选地，目标物相关信息不包含精确标识信息时，也可以向用户输出用于提示用户需求信息不符合要求的提示信息，请求用户再次输入精确标识信息或者向用户提示当前进行的促销信息以供参考。
图3示出根据本公开一些实施例的目标物查找方法的流程图。如图3所示，根据本公开一些实施例的目标物查找方法可以包括步骤S301-S340，其中S310-S340与图1中的S110-140相同，而与图1不同之处在于，在所述信息采集步骤310之前，该目标物查找方法可以进一步包括：
S301，信息输入提示步骤：输出关于需求信息输入的第一提示信 息，其中所述第一提示信息包括音频信息和视频信息中至少一种。
在一些实施例中，在信息采集步骤之前，可以增加输出信息采集提示的步骤S301。例如在具体的超市应用场景中，当用户开启目标物查找设备时，设备可以发出请求输入需求信息的第一提示信息，告知用户可使用语音或键盘文字输入方式输入购物需求，随后进入信息采集步骤S310-S340。第一提示信息可以包括音频信息、图像信息、视频信息等等，例如信息采集提示可以为通过显示屏显现提示文字或图像或视频，或者是通过扬声器播放提示语音来实现。
此外，信息输入的提示步骤S301中的第一提示信息可以包含关于用户的信息输入的规范，例如输入信息应当包含上文所述的(参见步骤S221)的预设关键词(如：我想买…/我要买…)，这样有利于信息采集模块(例如语音识别模块)快速准确抓取有效信息，即目标物相关信息。
如图3所示，根据本公开一些实施例的目标物查找方法的流程图。在确定了目标物(即步骤S320)之后，可能需要判断超市或仓库中目标物的库存数量是否满足顾客要求的额外步骤，如果满足要求，则继续随后的定位导航步骤S330；否则，提醒顾客库存不足并推荐相关的物品。用户可以选择接受推荐或不接受，如果接受可以将推荐物品作为新的目标物，继续后续步骤S330；否则提示重新提交需求信息，即返回到步骤S301。
具体地，在目标物确定步骤S320之后且在定位导航步骤S330之前，可以进一步包括如下步骤S302-S307。
S302，获取目标物的库存数量。
目标物库存数量可以从超市或仓库系统的数据库中得知。
S303，从目标物相关信息中识别目标物的需求数量。
由于，在用户进行购物的过程中，所需的目标商品可以不是一个，还可能是多个。因此。在本公开实施例中，步骤S310中所识别的需求信息中还可以包括目标商品的需求数量。
S304，判断所述目标物的库存数量是否小于需求数量，若是，转到所述定位导航步骤S330，否则转到步骤S305。
在确定目标物库存数量和需求数量后，对当前商场内的商品的库存数据与用户的需求数量进行对比，从而判断当前商场中库存中的目 标商品是否能够满足用户的需要。
S305，响应于所述目标物库存数量小于需求数量，输出关于库存不足通知以及供选择的与目标物相关的推荐物的第二提示信息。
S306，判断用户是否选择推荐物，若是，转到步骤S307，否则，转到步骤S301，即重新输出第一提示信息。
S307，响应于推荐物被选择，将推荐物确定为目标物，随后转到步骤S330。
由此，通过对目标物的库存数量与需求数量进行对比和判断，能够确保当用户所需的数量超过库存数量时，为用户进行提示，以及实现为用户推荐同类商品的功能。
图4示出根据本公开一些实施例的目标物查找方法的流程图。如图4所示，与图1相比，该目标查找方法可以包括与图1所示的步骤S110-S140相同的步骤S410-440，除此之外，在S420与S430之间，该目标查找方法还包括如下步骤S450-480。
S450，确定目标物的关注度，所述关注度为目标物所对应的用户的数量。
一般地，在商场或超市场景中，在用户进行商品选购的过程中，可能存在多个用户都选购同一商品的情况。在这种情况下，由于顾客集中在相同商品的购物区域中，因此可能存在用户拥挤情况。因此，为了避免出现因选购同一商品人数过多导致的拥堵情况，可以设置一个变量：目标物(或目标商品)的关注度，用于刻画目标物的受关注或被集中购买的程度；此外根据实际情况预先设置一个定量：关注度阈值，作为关注度是否过高的上限，其可以称为第一阈值。在一些实施例中，目标物的关注度可以定义为当前目标物所对应的用户的数量，即当前关注或想要购买目标物的用户的数量。例如在超市场景中，某商品的关注度是指该商品当前被超市中的多少用户确定为“目标物”。于是可以根据关注度的大小判断目标物位置附近是否拥挤，随后根据拥挤与否采取相应策略，例如拥挤时提示用户并建议购买同类商品或重新输入需求信息，不拥挤时可以直接进行后续步骤(S430定位导航步骤)。
在一些实施例中，目标物的关注度可以根据超市或商场内所有顾客中当前关注该目标物的用户的数量确定，即目标物当前累计被确定 为目标物的用户数量。
S460，判断目标物的关注度是否超过第一阈值，若未超过，则转到步骤S430，否则转到步骤S470。
例如，假设目标物关注度为R(自然数)，预先设定的关注度上限，即第一阈值为S(自然数)。可以将R与S进行对比，随后根据比较结果采取相应策略。由此，通过确定所述目标商品的关注值是否超过关注阈值，能够通过对目标商品的关注值以及关注阈值进行对比，实现当前商品选购是否会出现拥挤进行判断，从而避免人数过多导致购买拥挤或排队的情况，并且当确定关注值过高时，能够实现为用户推荐同类的其他商品的功能。
S470，响应于目标物的超过第一阈值，输出关于所述目标物关注度过高以及是否更新需求信息的第三提示信息。
例如，当预先设定的关注阈值S＝10，当前关注度R为8时，R＜S，则表明目标物关注度不高，可以进行后续步骤；当R＝11时，R>S，则说明目前目标物或目标商品被关注过多，如前去购买可能会有拥挤问题，可发出提醒建议用户先购买他物或重新提交购物需求。可选地，在R>S时，也可以输出同类推荐商品信息供用户选择。
S480，判断用户是否选择更新需求信息，若是则转回到信息采集步骤S410，否则转到定位导航步骤S430。
如果接收到用户同意更新需求信息，该商品关注度R减1，转回到信息采集步骤以重新采集信息；此外，当目标物查找设备输出推荐商品时，用户也可以直接选择推荐商品作为目标物，继续后续步骤。若接收到用户发出不同意反馈，仍要此时选购该商品，则R不变，继续后续步骤。
图5示出根据本公开一些实施例的目标物查找方法。如图5所示，图1所示的目标物查找方法，在目标物确定步骤S120之后，该目标物查找方法可以进一步包括：
S550，实时检测用户与目标物之间的距离；
S560，判断所述距离是否小于第二阈值；
S570，响应于所述距离小于第二阈值，控制目标物近旁的提示装置输出第四提示信息，否则回到步骤S550，继续检测用户与目标物之间的距离。
在图5所示的实施例中，在目标物定位导航步骤之后或在导航信息输出步骤之后，为了辅助目标物查找，在用户(例如在导航信息的指引下)接近目标物时，可以利用超市或仓库的智能货架上目标物近旁的提示装置，例如用于标记目标物价格、名称等信息的电子价签或电子标签，向用户发出提示，例如闪烁或变色，以利于用户快速找到目标物。
用户和目标物的接近程度可以通过预先设定的距离阈值，即第二阈值来描述。该距离阈值范围可以根据商场的规模以及商品摆放的密集程度而决定。显然，当实时检测的用户和目标物之间的当前距离小于第二阈值时，说明二者非常接近，这时目标物的提示装置利用闪烁、变色之类的第二提示信息来提示用户，便于用户发现目标物。另外，用户和目标物之间的距离的实时检测可以通过目标物查找设备中的导航模块来实现。
在根据本公开的一些实施例中，提示装置可以为用于商品或货物的电子标签，例如电子价签或电子货签，该电子标签可以看作一种用于显示商品或货物相关信息的显示屏。当确定用户位于目标商品附近时，则可以控制该电子价签中内置的提示装置进行提示，例如，当电子价签为一种显示屏时，则根据本实施例所述的方法，可以控制该电子价签的显示屏显示提示信息。例如，可以通过改变显示屏显示的颜色或者对控制该显示屏进行闪烁，或者在改变颜色的同时并进行闪烁，来提示用户。这样可以确保当用户在目标商品附近时，能够根据上述提示方式锁定目标商品。当然，第四提示信息也可以采用其他方式，例如提示装置可以包括能够发出语音提示的音频输出组件。当然，也可以根据提示装置(例如电子标签)的实际硬件构成选取对应的提示方式。
由此，通过在用户与目标商品距离小于的预设距离阈值时控制提示装置进行提示，能够确保用户准确并及时的查找到所需的目标商品，提高了目标商品导购或目标物品查找效率。
图6示出根据本公开一些实施例的目标物查找设备的结构框图。如上文所述，根据本公开一些实施例的目标物查找方法可以通过如图6所示的目标物查找设备完成。如如图6所示，该目标物查找设备600包括：
信息采集组件601，配置成采集用户需求信息；
目标物确定组件602，配置成根据用户需求信息确定目标物；
定位导航组件603，获取用户位置信息和目标物位置信息，并根据目标物位置信息和用户位置信息生成导航信息；
信息输出组件604，输出导航信息。
在一些实施例中，信息采集组件601可以包括语音信息采集器，例如用于接收音频信号的麦克风；以及/或者图像信息采集器，例如用于采集或拍摄图像或视频的摄像头或相机。
在一些实施例中，信息输出组件604可以包括用于通过图像、视频片段、文本等可视方式向用户展示信息的视频输出装置，例如显示器，或者用于通过声音之类的听觉方式向用户输出信息音频输出装置，例如扬声器。
在一些实施例中，目标物确定组件602可以包括语音信息识别电路和图像信息识别电路，其可以是配置成分别具备语音信号和图像信号读取、辨识、处理等功能的电路系统或装置。
在一些实施例中，定位导航组件603可以包括用于定位的GPS定位系统以及用于生成导航信息的局域导航模块。
具体地，根据本公开一些本实施例的目标物查找设备的具体硬件构成可以包括：MIC阵列板、SOC主板、GPS、摄像头、电源板、显示屏、WIFI天线、扬声器。其中，MIC阵列板作为声音采集部件，用于接收语音信息；SOC主板用作前述的处理器，用于进行数据处理、执行计算机程序以调度相应硬件实现目标物查找，并通过WIFI天线与云端服务器或超市或仓库的计算机系统或商品或货品信息数据库进行数据通信；GPS用于定位和导航；摄像头作为图像采集部件；扬声器用于播放语音；显示屏用于输出图像或视频信息；电源板用于为各个部件供电。当然，根据本公开的目标物查找设备并不限于上述结构。在一些实施例中，根据本公开的目标物查找设备600可以设置在超市的智能购物车或仓库的货物运输车上，以实现用户与该设备之间的实时人机交互，从而实现目标物自动化查找。
如图6所示，在一些实施例中，目标物查找设备600进一步包括：
距离检测组件605，其配置成实时检测用户与目标物之间的距离；
控制组件606，其配置成判断所述距离是否小于距离阈值，若是， 则远程控制与目标物查找设备通信连接的用于目标物的电子标签以输出提示信息。
在一些实施例中，距离检测组件605和控制组件606以及上述定位导航组件603及其他组件可以包括实现相应功能的单独的硬件、软件、固件或它们的组合，例如可以是具备数据收发和处理能力的处理器、单片机、芯片、具有用于对数据信号实现逻辑功能的逻辑门电路的离散逻辑电路、具有合适的组合逻辑门电路的专用集成电路、可编程门阵列(Programmable Gate Array)、现场可编程门阵列(Field Programmable Gate Array)等，或者上述硬件中任意两个或多个的组合。
在一些实施例中，电子标签可以包括用于标识商品或物品的电子价签或电子货签，上述提示信息可以包括目标物对应的电子标签改变颜色和/或进行闪烁，以向用户或顾客提示目标物的位置。
在根据本公开的一些实施例中，提供一种包含根据本公开一些实施例的目标物查找设备的智能购物车。如上文所述，根据本公开的目标物查找设备可以设置在购物车中以方便顾客或用户通过与该目标物查找设备进行人机交互自动、快速、准确地实现商品查找和导航。
在根据本公开一些实施例中，提供一种计算机可读存储介质，其上存储器有计算机可读指令，该计算机可读指令在被执行时实现根据本公开一些实施例的目标物查找方法。
在本说明书的描述中，术语“一个实施例”、“一些实施例”、“示例”、“具体示例”、或“一些示例”等的描述意指结合该实施例或示例描述的具体特征、结构、材料或者特点被包含于本公开的至少一个实施例或示例中。在本说明书中，对上述术语的示意性表述不必针对的是相同的实施例或示例。而且，描述的具体特征、结构、材料或者特点可以在任一个或多个实施例或示例中以合适的方式结合。此外，在不相互矛盾的情况下，本领域的技术人员可以将本说明书中描述的不同实施例或示例以及不同实施例或示例的特征进行结合和组合。
流程图中或在此以其他方式描述的任何过程或方法描述可以被理解为，表示包括一个或多个用于实现定制逻辑功能或过程的步骤的可执行指令的代码的模块、片段或部分，并且本公开的优选实施方式的范围包括另外的实现，其中可以不按所示出或讨论的顺序(包括根据所涉及的功能按基本同时的方式或按相反的顺序)来执行功能，这应 被本公开的实施例所属技术领域的技术人员所理解。
在流程图中表示或在此以其他方式描述的逻辑和/或步骤，例如，可以被认为是用于实现逻辑功能的可执行指令的定序列表，可以具体实现在任何计算机可读介质中，以供指令执行系统、装置或设备(如基于计算机的系统、包括处理器的系统或其他可以从指令执行系统、装置或设备取指令并执行指令的系统)使用，或结合这些指令执行系统、装置或设备而使用。就本说明书而言，“计算机可读介质”可以是任何可以包含、存储、通信、传播或传输程序以供指令执行系统、装置或设备或结合这些指令执行系统、装置或设备而使用的装置。计算机可读介质的更具体的示例可以例如包括以下各项：具有一个或多个布线的电连接部(电子装置)、便携式计算机盘盒(磁装置)、随机存取存储器(RandomAccess Memory)、只读存储器(Read Only Memory)，可擦除可编辑只读存储器(Erasable Programmable Read Only Memory)或闪速存储器、光纤装置、以及便携式光盘只读存储器(Compact Disc Read Only Memory)。另外，计算机可读介质甚至可以是可在其上打印所述程序的纸或其他合适的介质，因为可以例如通过对纸或其他介质进行光学扫描，接着进行编辑、解译或必要时以其他合适方式进行处理来以电子方式获得所述程序，然后将其存储在计算机存储器中。
当在本说明书中使用时，术语“组件”、“模块”、“装置”等等通常可以表示计算机相关实体，或者是硬件、硬件和软件的组合，软件，或者执行的软件，除非上下文另有明确说明。例如，这样的组件可以是但不限于处理器上运行的进程、处理器、对象、可执行文件、执行线程、程序和/或计算机。举例而言，运行在控制器上的应用程序和控制器二者都可以是组件。一个或多个组件可以驻留在进程和/或执行线程内，并且组件可以定位在一台计算机(设备)上和/或分布在两台或更多计算机(设备)之间。
应当理解，本公开的各部分可以用硬件、软件、固件或它们的组合来实现。在上述实施方式中，多个步骤或方法可以用存储在存储器中且由合适的指令执行系统执行的软件或固件来实现。例如，如果用硬件来实现，则可用本领域公知的下列技术中的任一项或它们的组合来实现：具有用于对数据信号实现逻辑功能的逻辑门电路的离散逻辑电路、具有合适的组合逻辑门电路的专用集成电路、可编程门阵列 (Programmable Gate Array)、现场可编程门阵列(Field Programmable Gate Array)等。
本技术领域的普通技术人员可以理解上述实施例方法的全部或部分步骤可以通过程序指令相关的硬件完成，所述程序可以存储于一种计算机可读存储介质中，该程序在执行时，包括执行方法实施例的步骤之一或其组合。
此外，在本公开各个实施例中的各功能单元可以集成在一个处理模块中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个模块中。上述集成的模块既可以采用硬件的形式实现，也可以采用软件功能模块的形式实现。所述集成的模块如果以软件功能模块的形式实现并作为独立的产品销售或使用时，也可以存储在一个计算机可读取存储介质中。
应当注意，在权利要求书中，动词“包括/包含”及其变体的使用并没有排除存在权利要求中未陈述的元件或步骤。措词“一”或“一个”并没有排除多个。
本公开的实施例旨在涵盖落入所附权利要求的宽泛范围之内的所有这样的替换、修改和变型。因此，凡在本公开的精神和原则之内，所做的任何省略、修改、等同替换、改进等，均应包含在本公开的保护范围之内。

Claims (16)

  1. 一种目标物查找方法，包括：
    信息采集步骤：采集用户需求信息；
    目标物确定步骤：根据用户需求信息确定目标物；
    定位导航步骤：获取用户位置信息和目标物位置信息，并根据目标物位置信息和用户位置信息生成导航信息；以及
    信息输出步骤：输出导航信息。
  2. 根据权利要求1所述的方法，其中所述用户需求信息包括用户输入的语音信息、图像信息或文字信息中至少一种。
  3. 根据权利要求2所述的方法，其中所述目标物确定步骤包括：
    从用户需求信息中提取目标物相关信息；
    判断所述目标物相关信息是否包含用于唯一标识目标物的精确标识信息；
    响应于所述目标物相关信息包含精确标识信息，根据所述精确标识信息确定目标物；以及
    响应于所述目标物相关信息不包含精确标识信息，根据目标物相关信息推荐目标物。
  4. 根据权利要求2所述的方法，其中在所述信息采集步骤之前，所述方法进一步包括：
    信息输入提示步骤：输出关于需求信息输入的第一提示信息，其中所述第一提示信息包括音频信息和视频信息中至少一种。
  5. 根据权利要求4所述的方法，其中在所述目标物确定步骤之后且在所述定位导航步骤之前，所述方法进一步包括：
    获取目标物的库存数量；
    从目标物相关信息中识别目标物的需求数量；
    判断所述目标物的库存数量是否小于需求数量；
    响应于所述目标物库存数量小于需求数量，输出关于库存不足通知以及供选择的与目标物相关的推荐物的第二提示信息；
    判断推荐物是否被选择；
    响应于推荐物被选择，将推荐物确定为目标物，转到所述定位导航步骤；
    响应于推荐物未被选择，转到所述信息输入提示步骤。
  6. 根据权利要求1所述的方法，其中在所述目标物确定步骤之后且在所述定位导航步骤之前，所述方法进一步包括：
    获取目标物的关注度，所述关注度为在当前所述目标物所对应的用户的数量；
    判断目标物的关注度是否超过第一阈值；
    响应于目标物的关注度超过第一阈值，输出关于所述目标物关注度过高以及是否更新需求信息的第三提示信息；
    判断用户是否选择更新需求信息，若是则转回到所述信息采集步骤，否则转到定位导航步骤。
  7. 根据权利要求1所述的方法，其中在所述目标物确定步骤之后，所述方法进一步包括：
    实时检测用户与目标物之间的距离；
    判断所述距离是否小于第二阈值；
    响应于所述距离小于第二阈值，控制目标物近旁的提示装置输出第四提示信息。
  8. 根据权利要求7所述方法，其中所述提示装置包括电子标签，并且第四提示信息包括闪烁或变色中至少一种。
  9. 根据权利要求1所述的方法，其中所述定位导航步骤包括：获取用户实时位置信息和目标物位置信息并且根据用户实时位置信息和目标物的位置信息生成导航信息，其中所述导航信息包括导航线路信息和导航提示信息。
  10. 根据权利要求9所述的方法，其中所述信息输出步骤包括：
    通过音频和视频方式中至少一种实时输出导航信息。
  11. 根据权利要求2所述的方法，其中所述从用户需求信息中提取目标物相关信息包括：
    判断所述用户需求信息是否包含预设关键词；
    响应于所述用户需求信息包含预设关键词，根据预设关键词提取目标物相关信息
  12. 根据权利要求3所述的方法，其中所述根据所述目标物相关信息推荐目标物包括根据所述目标物相关信息以及与促销信息推荐目标物。
  13. 一种目标物查找设备，包括：
    信采集组件，其配置成采集用户需求信息；
    目标物确定组件，其配置成根据用户需求信息确定目标物；
    定位导航组件，其配置成获取用户位置信息和目标物位置信息并根据目标物位置信息和用户位置信息生成导航信息；以及
    信息输出组件，其配置成输出导航信息。
  14. 根据权利要求13所述的设备，进一步包括：
    距离检测组件，其配置成检测用户与目标物之间的距离；
    控制组件，其配置成判断所述距离是否小于距离阈值，若是，则远程控制与目标物查找设备通信连接的用于目标物的电子标签以输出提示信息。
  15. 一种智能购物车，包括根据权利要求13或14所述的目标物查找设备。
  16. 一种计算机可读存储介质，包括存储在其上的计算机可读指令，所述计算机可读指令在被执行时实现如权利要求1-12中任一项所述的方法。
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