CN114240578A - Unmanned supermarket intelligent shopping method and system - Google Patents
Unmanned supermarket intelligent shopping method and system Download PDFInfo
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- CN114240578A CN114240578A CN202111613292.2A CN202111613292A CN114240578A CN 114240578 A CN114240578 A CN 114240578A CN 202111613292 A CN202111613292 A CN 202111613292A CN 114240578 A CN114240578 A CN 114240578A
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- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
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- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
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- G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
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- G—PHYSICS
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- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
- G07C9/37—Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
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Abstract
The invention discloses an intelligent shopping method and system for an unmanned supermarket, belonging to the technical field of internet, wherein the shopping method comprises the following specific steps: (1) detecting basic information of a customer to judge and process the basic information; (2) collecting customer request information to perform operation judgment; (3) receiving customer settlement information for commodity selection; (4) classifying the customer selection information; (5) collecting supermarket information for operation analysis; the invention can facilitate shopping for customers, is beneficial to searching for needed articles by the customers, avoids the need of frequently carrying needed articles in the shopping process, can facilitate management of supermarket by supermarket background personnel, and avoids excessive dependence on monitoring equipment in the supermarket to supervise operation of the supermarket.
Description
Technical Field
The invention relates to the technical field of internet, in particular to an intelligent shopping method and system for an unmanned supermarket.
Background
With the development of internet technology and the demand of people for intelligent life, a batch of unmanned supermarkets appear in the market in recent years, however, the existing unmanned supermarkets can be roughly divided into three types: the first type is realized by depending on a vending machine, and the mode requires that a customer autonomously scans codes, selects and pays, finds out a corresponding container by self and then takes out a corresponding article; the second type is that the radio frequency label is attached to the commodity for sale, when the customer finishes shopping and leaves the supermarket through a matched access control, the system automatically acquires the commodity purchased by the customer and finishes settlement; the third type is that a self-service checkout machine is arranged at the exit of the supermarket, and customers autonomously scan codes to checkout, and the three supermarkets all have some common defects: the scale is small, the commodity types are few, shopping guide modes are lacked, and the management of the supermarket is not intelligent enough; therefore, an unmanned supermarket intelligent shopping method and system are provided.
Through retrieval, the Chinese patent number CN201810692843.0 discloses an intelligent shopping method and system for an unmanned supermarket, and although the invention can rapidly and conveniently settle accounts for customers, the customers are required to frequently carry required commodities; in addition, the existing intelligent shopping method and system for the unmanned supermarket are inconvenient for supermarket background personnel to manage the supermarket; therefore, it becomes more important to invent an intelligent shopping method and system for unmanned supermarket;
disclosure of Invention
The invention aims to solve the defects in the prior art and provides an intelligent shopping method and system for an unmanned supermarket.
In order to achieve the purpose, the invention adopts the following technical scheme:
an intelligent shopping method for an unmanned supermarket comprises the following specific steps:
(1) detecting basic information of a customer to judge and process the basic information: the entrance guard module collects the customer information by scanning the face of the customer or the APP two-dimensional code and carries out interception judgment on the customer information according to the collected customer information;
(2) collecting customer request information to make an operational decision: receiving request information sent by a customer, starting a corresponding shopping guide trolley according to the request information of the customer, enabling the shopping guide trolley to follow the customer in real time, and analyzing and judging the operation information of the customer;
(3) receiving customer settlement information for commodity selection: after the customer selects the commodities, the server receives the information of the commodities selected by the user, controls the storage module to compare and select the related commodities and packages the sorted commodities;
(4) classifying the customer selection information: after the commodities are packaged, the server side feeds back packaging information to the user through the APP of the mobile phone side of the customer, receives selection information sent by the customer through the APP, and classifies the packaged commodities according to the selection information;
(5) supermarket information is collected for operation analysis: and collecting the settlement amount of each customer, collecting the information of the passenger flow in the supermarket and the operation information of the supermarket, carrying out operation analysis according to each group of data, and feeding back the analysis result to the staff.
As a further scheme of the present invention, the interception judgment in step (1) specifically comprises the following steps:
the method comprises the following steps: when a customer passes through an entrance guard of an unmanned supermarket, an entrance guard module sends a voice prompt 'face recognition is carried out or an identification code is shown' to the customer;
step two: the entrance guard module collects the relevant identity information of the customer, extracts the relevant customer information from the big data sharing platform, and feeds back the customer that the customer information does not exist and is required to be supplemented if the relevant customer information does not exist;
step three: if the corresponding customer information exists, the credit degree X of the customer is judged, if X is less than 90, the customer is fed back to 'unable to enter the supermarket', and if X is more than 90, the customer is fed back to 'welcome to enter'.
As a further scheme of the invention, the analysis and judgment in the step (2) comprises the following specific steps:
the first step is as follows: a customer scans a code through an APP or manually selects a shopping guide trolley, a shopping guide module receives customer request information and starts the corresponding shopping guide trolley, and the shopping guide trolley receives user operation information in real time;
the second step is that: if the user needs to search the commodities, the shopping guide trolley is in communication connection with the server, commodity information is obtained from the server, commodity position information is extracted, route planning is carried out by the shopping guide trolley according to the commodity position information, and the shopping guide trolley brings the customer to move to the position of the corresponding commodity;
the third step: if the user does not need to search for the commodities, the shopping guide trolley automatically follows the customer.
As a further scheme of the invention, the specific steps of the comparison and selection in the step (3) are as follows:
s1: a customer picks up the RFID tag card corresponding to the commodity and places the RFID tag card into a shopping guide basket;
s2: after the customer selects, the warehousing module scans the RFID tag cards in the shopping guide basket and extracts the commodity information contained in the RFID tag cards;
s3: corresponding commodities are fed back to a customer through the APP to be confirmed, after the customer confirms that the commodities are correct, the server sends commodity information to the warehousing module, and corresponding commodities are grabbed.
As a further scheme of the present invention, the classification processing in step (4) specifically comprises the following steps:
p1: the server side prompts a customer through the APP that the commodity packaging is finished and settlement is required to be carried out;
p2: the customer settles the commodity through the APP, the server receives settlement information, and the APP receives the extraction mode selected by the customer;
p3: if the user selects to take goods on the spot, the packaged goods are sent to a specified goods taking machine through a conveyor belt, and the goods taking code is sent to the APP;
p4: if the user does not select to take the goods on the spot, the APP collects the goods receiving address of the customer and transmits the goods receiving address to the server, and meanwhile, the server automatically arranges the delivery of the rider;
p5: the server detects the goods taking state of the user in real time, if the user confirms that the goods taking is completed, the shopping process is interrupted, and if the user does not confirm that the goods taking is completed in time, a short message is sent to a mobile phone of the user for reminding.
An intelligent shopping system for an unmanned supermarket comprises an entrance guard module, a shopping guide module, a safety monitoring module, a goods shelf module, a storage module and a calculation module;
the access control module is used for access control management when a customer enters or leaves a supermarket;
the shopping guide module is used for providing recommendation, inquiry and shopping guide functions for the customer, and inquiring the specific address of the commodity and leading the customer to go after the customer selects the required commodity;
the safety monitoring module is used for monitoring the safety of the unmanned supermarket and uploading monitoring data to the cloud server for storage;
the goods shelf module is used for displaying sold goods and RFID tag cards corresponding to the goods;
the warehousing module is used for early warning when the stock quantity of supermarket goods is insufficient, packaging the purchased goods for customers and handing over the goods to the customers;
the calculation module is used for calculating the amount of money when the customer checks out the account, calculating the passenger flow of the supermarket and calculating the operation condition of the supermarket, and automatically generates a corresponding data recording table to record all the data.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the intelligent shopping method for the unmanned supermarket, a user searches for needed commodities through a shopping guide trolley, the shopping guide trolley is in communication connection with a server, commodity information is obtained from the server, meanwhile, commodity position information is extracted, the shopping guide trolley plans a route according to the commodity position information and leads a customer to move to the position of the corresponding commodity, the customer picks up an RFID tag card corresponding to the commodity and puts the RFID tag card into a shopping guide basket, shopping can be facilitated for the customer, the customer can find needed goods conveniently, and meanwhile, the situation that the needed commodities need to be carried frequently in the shopping process is avoided;
2. this kind of unmanned supermarket intelligence shopping system is provided with the storage module, the customer takes away the RFID tag card of corresponding commodity on the goods shelves module, the storage module scans the RFID tag card in the shopping guide basket, and draw the commodity information that contains in the RFID tag card, give the customer confirmation through APP feedback with corresponding commodity, the commodity information that the server will confirm to accomplish sends to the storage module, and snatch and pack corresponding commodity, can make things convenient for the management of supermarket backstage personnel to the supermarket, avoid excessively relying on the supervisory equipment of supermarket inside to supervise the operation in supermarket.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
FIG. 1 is a flow chart of an intelligent shopping method for an unmanned supermarket, which is provided by the invention;
FIG. 2 is a system block diagram of an intelligent shopping system for an unmanned supermarket, which is provided by the invention;
fig. 3 is an algorithm flow chart of the intelligent shopping method for the unmanned supermarket.
Detailed Description
Example 1
Referring to fig. 1 and 3, the embodiment discloses an intelligent shopping method for an unmanned supermarket, which comprises the following specific steps:
detecting basic information of a customer to judge and process the basic information: the entrance guard module collects the customer information by scanning the face of the customer or the APP two-dimensional code, and intercepts and judges the customer information according to the collected customer information.
Specifically, when a customer passes through an entrance guard of an unmanned supermarket, an entrance guard module sends a voice prompt to the customer to perform face recognition or show an identification code, meanwhile, the entrance guard module collects relevant identity information of the customer by scanning a face or an APP identification code of the customer, extracts relevant customer information from a big data sharing platform, feeds back the customer that the customer information does not exist and needs to be supplemented if the relevant customer information does not exist, judges the credit degree X of the customer if the corresponding customer information exists, feeds back that the customer cannot enter the supermarket if the credit degree X is less than 90, and feeds back that the customer welcomes to the supermarket if the X is more than 90.
It needs to further explain that the entrance guard module specifically comprises floodgate unit, human infrared sensor unit, face identification camera unit and voice broadcast unit.
Collecting customer request information to make an operational decision: and receiving request information sent by the customer, starting the corresponding shopping guide trolley according to the request information of the customer, enabling the shopping guide trolley to follow the customer in real time, and analyzing and judging the operation information of the customer.
Specifically, the customer sweeps a yard or manual selection shopping guide's dolly through the APP, the shopping guide module receives customer request information, and start corresponding shopping guide's dolly, the shopping guide's dolly receives user operation information in real time, if the user needs to search for commodity, shopping guide's dolly and server communication connection, and acquire commodity information from the server, draw commodity positional information simultaneously, the shopping guide's dolly carries out route planning according to commodity positional information, and lead the customer to remove to corresponding commodity position, if the user does not need to search for commodity, then customer is followed automatically to the shopping guide's dolly.
It should be further explained that after shopping is completed, the shopping guide trolley scans the labels in the basket, moves to the corresponding goods shelf according to each group of commodity information, and sends sorting information to the server, the server receives the sorting information and forwards the sorting information to the goods shelf module, and the goods shelf module takes out the labels through the manipulator to place the labels at the corresponding positions.
Receiving customer settlement information for commodity selection: and after the customer selects the commodities, the server receives the commodity information selected by the user, controls the storage module to compare and select the related commodities, and packs the sorted commodities.
Specifically, customer picks up the RFID tag card that commodity corresponds to put into the shopping guide basket with it, after customer's selection, the storage module scans the RFID tag card in the shopping guide basket, and draws the commodity information that contains in the RFID tag card, feeds back to customer through APP and confirms corresponding commodity, and customer is to confirming the errorless back of commodity, and the server sends commodity information to the storage module, and snatchs corresponding commodity.
It needs further to be explained that, during the backstage storage replenishment, the staff place the goods on the conveyer belt and carry, the server detects the goods position, and after the goods arrived the designated position, the goods shelf module snatchs the goods through the manipulator to put things in good order to corresponding goods shelf position.
Classifying the customer selection information: the commodity packing is accomplished, and the server side feeds back packing information to the user through customer's cell-phone end APP to through the selective information that receives customer and send through the APP, carry out classification to the commodity of accomplishing of packing according to its selective information simultaneously.
The utility model discloses a commodity packing is accomplished to the customer commodity of suggestion through APP by the server side, ask for the settlement, customer settles accounts commodity through APP, the server side receives settlement information, APP receives the mode of drawing that customer selected simultaneously, if the user selects to get goods on the spot, then send the commodity of packing completion to appointed goods machine of getting through the conveyer belt, and will get goods sign indicating number and send to APP, if the user does not select to get goods on the spot, APP collects customer's goods receiving address, and convey it to the server, simultaneously the automatic arrangement rider delivery of server, server real-time detection user gets the goods state simultaneously, if the user confirms to get goods and accomplishes, then interrupt this shopping flow, if the user does not in time confirm to get goods and accomplish, then send the SMS to user's cell-phone and remind.
Supermarket information is collected for operation analysis: and collecting the settlement amount of each customer, collecting the information of the passenger flow in the supermarket and the operation information of the supermarket, carrying out operation analysis according to each group of data, and feeding back the analysis result to the staff.
The user carries out route planning according to commodity position information through the shopping guide trolley, and leads the customer to move to the position of corresponding commodity, and the customer picks up the RFID tag card that the commodity corresponds, and put it into the shopping guide basket, can make things convenient for the customer to shop, be favorable to the customer to look for oneself required article, avoid the shopping in-process to need frequently carry required commodity simultaneously.
Example 2
Referring to fig. 2, the embodiment discloses an intelligent shopping system for an unmanned supermarket, which comprises an access control module, a shopping guide module, a safety monitoring module, a shelf module, a storage module and a calculation module.
The access control module is used for access control management when a customer enters or leaves a supermarket.
The shopping guide module is used for providing recommendation, inquiry and shopping guide functions for the customer, and after the customer selects the required commodity, the customer inquires the specific address of the commodity and leads the customer to go.
The safety monitoring module is used for monitoring the safety of the unmanned supermarket and uploading the monitoring data to the cloud server for storage.
It needs to be further explained that, after a customer in a supermarket takes a display sample on a shelf, the safety monitoring module gives an alarm, and simultaneously sends warning information to the user through the APP, and if the customer does not put the sample back to the corresponding position of the shelf, the customer information is sent to the staff.
The goods shelf module is used for displaying sold goods and RFID tag cards corresponding to the goods;
the warehousing module is used for early warning when the stock quantity of supermarket goods is insufficient, packaging the purchased goods for customers and handing over the goods to the customers.
The calculation module is used for calculating the amount of money when the customer checks out the account, calculating the passenger flow of the supermarket and calculating the operation condition of the supermarket, and automatically generating a corresponding data recording table to record each group of data.
Customer takes the RFID tag card of corresponding commodity on goods shelves module, the storage module scans the RFID tag card in the shopping guide basket, and extract the commodity information that contains in the RFID tag card, will correspond commodity and feed back to customer through the APP and confirm, the commodity information that the server will confirm to accomplish sends to the storage module, and snatch and pack corresponding commodity, can make things convenient for supermarket backstage personnel to the management in supermarket, avoid excessively relying on the supervisory equipment in supermarket to supervise the operation in supermarket.
Claims (6)
1. An intelligent shopping method for an unmanned supermarket is characterized by comprising the following specific steps:
(1) detecting basic information of a customer to judge and process the basic information: the entrance guard module collects the customer information by scanning the face of the customer or the APP two-dimensional code and carries out interception judgment on the customer information according to the collected customer information;
(2) collecting customer request information to make an operational decision: receiving request information sent by a customer, starting a corresponding shopping guide trolley according to the request information of the customer, enabling the shopping guide trolley to follow the customer in real time, and analyzing and judging the operation information of the customer;
(3) receiving customer settlement information for commodity selection: after the customer selects the commodities, the server receives the information of the commodities selected by the user, controls the storage module to compare and select the related commodities and packages the sorted commodities;
(4) classifying the customer selection information: after the commodities are packaged, the server side feeds back packaging information to the user through the APP of the mobile phone side of the customer, receives selection information sent by the customer through the APP, and classifies the packaged commodities according to the selection information;
(5) supermarket information is collected for operation analysis: and collecting the settlement amount of each customer, collecting the information of the passenger flow in the supermarket and the operation information of the supermarket, carrying out operation analysis according to each group of data, and feeding back the analysis result to the staff.
2. The intelligent shopping method for unmanned supermarkets according to claim 1, wherein the intercepting judgment in step (1) specifically comprises the following steps:
the method comprises the following steps: when a customer passes through an entrance guard of an unmanned supermarket, an entrance guard module sends a voice prompt 'face recognition is carried out or an identification code is shown' to the customer;
step two: the entrance guard module collects the relevant identity information of the customer, extracts the relevant customer information from the big data sharing platform, and feeds back the customer that the customer information does not exist and is required to be supplemented if the relevant customer information does not exist;
step three: if the corresponding customer information exists, the credit degree X of the customer is judged, if X is less than 90, the customer is fed back to 'unable to enter the supermarket', and if X is more than 90, the customer is fed back to 'welcome to enter'.
3. The intelligent shopping method for unmanned supermarkets according to claim 1, wherein the analyzing and judging in step (2) specifically comprises the following steps:
the first step is as follows: a customer scans a code through an APP or manually selects a shopping guide trolley, a shopping guide module receives customer request information and starts the corresponding shopping guide trolley, and the shopping guide trolley receives user operation information in real time;
the second step is that: if the user needs to search the commodities, the shopping guide trolley is in communication connection with the server, commodity information is obtained from the server, commodity position information is extracted, route planning is carried out by the shopping guide trolley according to the commodity position information, and the shopping guide trolley brings the customer to move to the position of the corresponding commodity;
the third step: if the user does not need to search for the commodities, the shopping guide trolley automatically follows the customer.
4. The intelligent shopping method for unmanned supermarkets according to claim 1, wherein the comparison and selection in step (3) specifically comprises the following steps:
s1: a customer picks up the RFID tag card corresponding to the commodity and places the RFID tag card into a shopping guide basket;
s2: after the customer selects, the warehousing module scans the RFID tag cards in the shopping guide basket and extracts the commodity information contained in the RFID tag cards;
s3: corresponding commodities are fed back to a customer through the APP to be confirmed, after the customer confirms that the commodities are correct, the server sends commodity information to the warehousing module, and corresponding commodities are grabbed.
5. The intelligent shopping method for unmanned supermarkets according to claim 1, wherein the classification processing in step (4) specifically comprises the following steps:
p1: the server side prompts a customer through the APP that the commodity packaging is finished and settlement is required to be carried out;
p2: the customer settles the commodity through the APP, the server receives settlement information, and the APP receives the extraction mode selected by the customer;
p3: if the user selects to take goods on the spot, the packaged goods are sent to a specified goods taking machine through a conveyor belt, and the goods taking code is sent to the APP;
p4: if the user does not select to take the goods on the spot, the APP collects the goods receiving address of the customer and transmits the goods receiving address to the server, and meanwhile, the server automatically arranges the delivery of the rider;
p5: the server detects the goods taking state of the user in real time, if the user confirms that the goods taking is completed, the shopping process is interrupted, and if the user does not confirm that the goods taking is completed in time, a short message is sent to a mobile phone of the user for reminding.
6. An intelligent shopping system for an unmanned supermarket is characterized by comprising an entrance guard module, a shopping guide module, a safety monitoring module, a goods shelf module, a storage module and a calculation module;
the access control module is used for access control management when a customer enters or leaves a supermarket;
the shopping guide module is used for providing recommendation, inquiry and shopping guide functions for the customer, and inquiring the specific address of the commodity and leading the customer to go after the customer selects the required commodity;
the safety monitoring module is used for monitoring the safety of the unmanned supermarket and uploading monitoring data to the cloud server for storage;
the goods shelf module is used for displaying sold goods and RFID tag cards corresponding to the goods;
the warehousing module is used for early warning when the stock quantity of supermarket goods is insufficient, packaging the purchased goods for customers and handing over the goods to the customers;
the calculation module is used for calculating the amount of money when the customer checks out the account, calculating the passenger flow of the supermarket and calculating the operation condition of the supermarket, and automatically generates a corresponding data recording table to record all the data.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111613292.2A CN114240578A (en) | 2021-12-27 | 2021-12-27 | Unmanned supermarket intelligent shopping method and system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111613292.2A CN114240578A (en) | 2021-12-27 | 2021-12-27 | Unmanned supermarket intelligent shopping method and system |
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| CN114240578A true CN114240578A (en) | 2022-03-25 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115856917A (en) * | 2023-02-27 | 2023-03-28 | 深圳市永泰光电有限公司 | Object identification system and method based on laser radar and camera |
| CN117520856A (en) * | 2023-09-08 | 2024-02-06 | 南京邮电大学 | Commercial ultra-intelligent shopping guide method and system based on big data |
-
2021
- 2021-12-27 CN CN202111613292.2A patent/CN114240578A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115856917A (en) * | 2023-02-27 | 2023-03-28 | 深圳市永泰光电有限公司 | Object identification system and method based on laser radar and camera |
| CN117520856A (en) * | 2023-09-08 | 2024-02-06 | 南京邮电大学 | Commercial ultra-intelligent shopping guide method and system based on big data |
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Application publication date: 20220325 |