CN109410482B - Unmanned convenience store order generation method and system - Google Patents

Unmanned convenience store order generation method and system Download PDF

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Publication number
CN109410482B
CN109410482B CN201811088134.8A CN201811088134A CN109410482B CN 109410482 B CN109410482 B CN 109410482B CN 201811088134 A CN201811088134 A CN 201811088134A CN 109410482 B CN109410482 B CN 109410482B
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user
information
weight
commodities
commodity
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CN109410482A (en
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李园澍
任国栋
吴永强
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Wormpex Technology Beijing Co Ltd
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Wormpex Technology Beijing Co Ltd
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    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
    • G07G1/00—Cash registers
    • G07G1/0036—Checkout procedures
    • G07G1/0045—Checkout procedures with a code reader for reading of an identifying code of the article to be registered, e.g. barcode reader or radio-frequency identity [RFID] reader
    • G07G1/0054—Checkout procedures with a code reader for reading of an identifying code of the article to be registered, e.g. barcode reader or radio-frequency identity [RFID] reader with control of supplementary check-parameters, e.g. weight or number of articles
    • G07G1/0072—Checkout procedures with a code reader for reading of an identifying code of the article to be registered, e.g. barcode reader or radio-frequency identity [RFID] reader with control of supplementary check-parameters, e.g. weight or number of articles with means for detecting the weight of the article of which the code is read, for the verification of the registration
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
    • G07G1/00—Cash registers
    • G07G1/0036—Checkout procedures
    • G07G1/0045—Checkout procedures with a code reader for reading of an identifying code of the article to be registered, e.g. barcode reader or radio-frequency identity [RFID] reader
    • G07G1/009—Checkout procedures with a code reader for reading of an identifying code of the article to be registered, e.g. barcode reader or radio-frequency identity [RFID] reader the reader being an RFID reader
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
    • G07G1/00—Cash registers
    • G07G1/12—Cash registers electronically operated

Abstract

The invention relates to an unmanned convenience order generation method and system, and belongs to the technical field of unmanned convenience stores. The method comprises the following steps: acquiring a commodity taken by a user; detecting the weight gain state of a shelf in a preset range around a user, and acquiring weight gain information; acquiring a user settlement commodity; comparing the weight information and the weight gain information of the different commodities which do not appear in the commodities settled by the user in the commodities taken by the user; and if the weight information of the different commodity is consistent with the weight gain information, generating an order according to the commodity settled by the user. The invention improves the accuracy of the shopping order by verifying the commodity for settlement.

Description

Unmanned convenience store order generation method and system
Technical Field
The invention relates to the technical field of unmanned convenience stores, in particular to an unmanned convenience store order generation method and system.
Background
Unmanned convenience store is a neotype shopping experience, and the user can remove the latency of lining up to settle accounts from, realizes advancing to take goods, takes the neotype shopping experience of just walking. Under the scene of the novel shopping experience, how to accurately generate a shopping order of a user is an important link in the whole shopping process.
During the shopping process, the user may take a commodity and put it back on the shelf after thinking that the commodity is abandoned. While the various detectors in an unmanned convenience store can more accurately identify items that are taken away, accurately identifying items that are returned to the shelves remains a challenge. In a settlement area of an unmanned convenience store, when the settlement commodity of a user is inconsistent with the commodity taken by the identified user, smooth settlement may be affected, and bad experience is brought to the consumer.
Disclosure of Invention
Aiming at the technical problems in the prior art, the invention provides an unmanned convenience store order generation method and system, which are used for accurately generating a shopping order.
According to an aspect of the present invention, there is provided an unmanned convenience store order generation method, comprising:
acquiring a commodity taken by a user;
detecting the weight gain state of a shelf in a preset range around a user, and acquiring weight gain information;
acquiring a user settlement commodity;
comparing the weight information and the weight gain information of the different commodities which do not appear in the commodities settled by the user in the commodities taken by the user; and
and if the weight information of the different commodities is consistent with the weight increasing information, generating an order according to the commodity settled by the user.
Preferably, the method further comprises:
recognizing the action of the user for replacing the commodity; and
and matching the action of putting back the commodity with the weight gain information.
Preferably, the method further comprises:
querying the identified action of placing back the item; and
and acquiring weight gain information corresponding to the action of putting back the commodity.
Preferably, the weight information of the different product in the method is from product information in the RFID tag, or the weight information of the different product is from a gravity sensor of a shelf where the product is located when a user takes the product.
Preferably, in the method, when weight information and weight gain information of a different product that does not appear in the user-settled product among the products taken by the user are compared, when there are a plurality of different products, the number of the different products is matched with the number of times of the motion of putting back the product; and if the number of the different commodities is the same as the times of the actions of putting back the commodities, respectively matching the weight information of the plurality of different commodities with a plurality of weight increasing information of the actions of putting back the commodities for a plurality of times.
Preferably, in the method, when weight information and weight gain information of a different product that does not appear in the user-settled product among the products taken by the user are compared, when the different product is plural, total weight information of the plural different products is matched with total weight gain information of a sum of the plural weight gain information.
Preferably, in the method, further comprising: and if the weight information of the different commodity is inconsistent with the weight gain information, notifying the user.
Preferably, in the method, the weight information and the weight gain information of the different commodity are consistent, that is, the difference between the weight information and the weight gain information of the different commodity is smaller than a preset threshold value.
According to another aspect of the present invention, there is provided an unmanned convenience store order generating system, comprising:
one or more first detectors configured to acquire a user's pick up of merchandise;
one or more gravity sensors configured to acquire weight gain information of a shelf, wherein the gravity sensors on the shelf when located within a preset range around a user are in an activated state;
one or more second detectors configured to acquire user-settled goods; and
a processor configured to compare weight information and weight gain information of a differential commodity of the user taken commodities that is not present in the user settled commodity, generate an order according to the user settled commodity when the weight information and weight gain information of the differential commodity are consistent.
Preferably, the predetermined range is within 1 meter, within 1.5 meters, or within 2 meters.
Preferably, the system further comprises: one or more third detectors configured to monitor the actions of the user; wherein the processor is further configured to identify an action of the user to place back the item; and matching the action of putting back the commodity with the weight gain information.
Preferably, the processor is further configured to: matching the number of the differential commodities with the number of times of actions of putting back the commodities when the differential commodities are multiple; and if the number of the different commodities is the same as the times of the actions of putting back the commodities, respectively matching the weight information of the plurality of different commodities with a plurality of weight increasing information of the actions of putting back the commodities for a plurality of times.
Preferably, the processor is further configured to: when the difference commodity is a plurality of commodities, matching the total weight information of the commodities with the total weight gain information of the sum of the weight gain information.
Preferably, the first detector is a plurality of RFID detectors; the second detector is an RFID detector.
According to the system and the method, when the user puts the identified and added commodities in the shopping commodity list back to the goods shelf, the weight increase of the goods shelf can be sensed, so that when final settlement is carried out, after the difference between the commodities taken during shopping and the settled commodities is compared, whether the settled commodities are correct or not is verified according to the weight increase information of the goods shelf, the problem that when the settled commodities are obtained, wrong settled commodities are obtained due to the fact that the commodity placement positions are poor or the RFID detectors are poor is solved, and the accuracy of shopping orders is improved.
Drawings
Preferred embodiments of the present invention will now be described in further detail with reference to the accompanying drawings, in which:
FIG. 1 is a flow diagram of a method of an unmanned convenience store generating a user order according to one embodiment of the invention;
FIG. 2 is a schematic diagram of an unmanned convenience store ordering system according to one embodiment of the present invention;
FIG. 3 is a flowchart illustrating an embodiment of determining whether weight information of a different product matches weight gain information; and
fig. 4 is a specific flowchart of determining whether the weight information of the different product matches the weight gain information according to another embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the following detailed description, reference is made to the accompanying drawings that form a part hereof and in which is shown by way of illustration specific embodiments of the application. In the drawings, like numerals describe substantially similar components throughout the different views. Various specific embodiments of the present application are described in sufficient detail below to enable those skilled in the art to practice the teachings of the present application. It is to be understood that other embodiments may be utilized and structural, logical or electrical changes may be made to the embodiments of the present application.
The existing unmanned convenience stores adopt RFID tags in many ways. The technical solution of the present invention is described below by taking an RFID tag mode as an example. It will be appreciated by those skilled in the art that the method and system of the present invention may also be applied to unmanned convenience stores based on other technologies such as image recognition, gravity sensors, infrared sensors, etc., or combinations thereof.
The goods placed on the goods shelf of the unmanned convenience store are provided with RFID labels. The RFID tag stores information on the product, such as the product name, price, weight, and the like. In order to obtain the commodities taken by the consumer, the RFID detectors can be used for identifying the RFID tags on the commodities taken by the consumer, so that corresponding commodity information can be obtained according to the RFID tags. In addition, the unmanned convenience store can also apply an image recognition technology, and the video monitoring equipment of the unmanned convenience store monitors the behavior of the user, recognizes the taking action of the user and the taken commodity, and generates an order according to the taken commodity. Furthermore, the unmanned convenience store can also apply the gravity sensing technology, sense the weight change through the gravity sensor on the goods shelves, and the corresponding commodity is identified according to the weight change.
In the settlement area of the unmanned convenience store, the detector of the unmanned convenience store again identifies the settled product of the user before the user leaves the unmanned convenience store. For example, an order is generated by recognizing an RFID tag of an article by an RFID probe provided in a settlement area and reading out article information therefrom.
However, during the shopping process, the consumer may take a product and think that the product is to be discarded and put back on the shelf. And the identification of the behavior of the user to put the goods back on the shelf and the identification of the goods put back have certain difficulty. In addition, in a settlement area of an unmanned convenience store, there is a certain demand for placing the products in order to be able to identify the products, and for example, it is necessary to place the products separately, and it is necessary to adopt a specific placing manner for specific products, and the like. When the consumer is not placed as desired, there are situations where the identification fails. Both of these situations make it difficult for an unmanned convenience store to properly generate orders. The invention provides a method and a system for generating an order of an unmanned convenience store, which can ensure the correctness of a shopping order of a user by verifying and settling commodities when the user returns the commodities.
FIG. 1 is a flow diagram of a method of generating a user shopping order according to one embodiment of the present invention. When the user enters the unmanned convenience store, the user's identity has been recognized and the corresponding user account has also been activated. In this way, user behavior and data related to the user's shopping may be recorded under the user account.
At step 110, items taken by the user are identified while the user is shopping. For example, the shopping item list T1 may be generated from items taken by the user. In some embodiments, the items are identified by the RFID probes based on RFID tags on the items. In the memory partition of RFID Tag, Tag memory roughly includes four independent memory blocks (Bank), Reserved, EPC (electronic product code), TID (Tag identification number) and User. The Reserved area stores Kill pass word (inactivated Password) and Access pass word (Access Password). The EPC area stores an EPC number, commodity information, and the like. The TID field stores tag identification numbers, each TID number being unique. The User area is used for storing User-defined data. Thus, the RFID detector confirms the tag by reading the tag identification number of the TID zone, and obtains the commodity information including the commodity name, price, and weight information by reading the EPC zone. Of course, if the weight information of the product is not included in the product information of the RFID tag, the weight information of the product may be obtained according to the gravity sensor of the shelf where the product is located. In other embodiments, the commodity taken by the user may be identified through an image identification technology, and then commodity information of the commodity is obtained.
At step 120, while the user is shopping, it is monitored whether the weight of the shelves around the location of the user is increased. If the shelf around the user's location is weighted, weight gain information G1 is obtained. By user-around is meant the distance that the user can put back to take the item, for example within 2 meters, 1.5 meters or 1 meter from the user. In some embodiments, while the user is shopping, the user's location is tracked, and depending on where the user is located, the shelves that need to be monitored, e.g., shelves within 2, 1.5, or 1 meters from the user, are determined and the gravity sensors on these shelves are activated. The user position can be accurately positioned by adopting the existing indoor positioning technology or the video monitoring technology for tracking the user position.
And when the weight of the shelf around the position of the user is monitored, recording the weight increase information under the account of the user. The weight gain information may be stored in a weight gain data table. When the situation that the shelf around the user has multiple weight gains in the shopping process of the user is monitored, multiple pieces of corresponding weight gain information exist in the weight gain data table.
According to one embodiment of the invention, the user's action of putting back merchandise may be monitored and matched to weight gain information. And monitoring the action of putting back the commodity by the user through the camera device, and recording the weight gain information and the action of putting back the commodity in the account of the user in a one-to-one correspondence manner. For example, when video monitoring is adopted, when the action of putting the commodity on a shelf by a user is recognized according to video data provided by the camera device, a mark is made on a video frame including the putting-back action in the video data, so that subsequent inquiry is facilitated, and time information of frame data is recorded. The put back action is matched to the weight gain information if the weight gain information sensed by the gravity sensors around the user also occurs within the same or close time. In the weight gain data table, the weight gain information may include: the mark of the occurrence of the putting back action, the time information, the weight information, the number information of the gravity sensor for monitoring, and the like. When the actions of multiple users for putting back commodities are recognized, multiple pieces of similar weight increasing information are included in the weight increasing data table correspondingly.
In step 130, the user is identified in the settlement area of the unmanned convenience store and the settlement item list T2 is generated. In the settlement area of the unmanned convenience store, the goods settled by the user are detected and identified by another detector or a group of detectors. For example, in a settlement area, a user places commodities according to a certain requirement, and then the commodities are recognized by the RFID detector and settled by the user, so that a settlement commodity list is generated. As described above, if the user does not place the goods as desired, or the RFID tag fails to be read, or the RFID detector fails, the user may incorrectly identify the goods for settlement. If these unidentified items are considered to be the user's return items without authentication, then the missed and wrong orders will be very likely to occur. Therefore, the verification that the user put back the merchandise is very meaningful.
At step 140, the shopping item list T1 and the settlement item list T2 are compared.
At step 150, it is judged whether there is a difference commodity in the shopping commodity list T1 and the settlement commodity list T2. If there is no difference between the shopping item list and the settlement item list, all the items taken by the user become settlement items, and no item is put back. Therefore, the product replacement verification is not required. In this case, the order may be generated directly from the settlement item list T2 in step 190.
In step 160, if there is a difference product that appears in the shopping product list but does not appear in the settlement product list, weight information G2 of the difference product is acquired. For the difference goods, the detector of the unmanned convenience store catches the user to take the goods, and if the user does not appear in the settlement goods list, the user may put back the taken goods. If there are items that appear in the settlement item list but do not appear in the shopping item list, such items are not regarded as difference items. This may be related to the rate of recognition of the probe for the user's fetching action. Since the article has been identified at step 110, the weight information of the different article can be read from the article information. Alternatively, in some other embodiments, when an item taken by the user is identified, weight information of the different item is obtained based on the weight decrease of the gravity sensor on the shelf when the item is taken. In still other embodiments, the weight information may be preset for each article and stored on the local memory of the unmanned convenience store. Thus, after the difference product is known, the weight information corresponding to the difference product can be directly obtained from the local memory of the unmanned convenience store.
In step 170, the weight information G2 of the different commodity is compared with the weight gain information G1, and it is determined whether the weight information G2 matches the weight gain information G1. If the weight information G2 of the difference commodity is consistent with the weight gain information G1, the user confirms that the commodity is put back, and the put-back commodity of the user is verified. Next, at step 190, an order may be generated from the settled commodity list. If the weight information G2 of the different commodity is inconsistent with the weight information G1, it may be that the user does not place the commodity as required, or the reading of the RFID tag fails, or the failure of the RFID detector may cause an error in the identification of the settlement commodity for the user, and in step 180, a warning message is sent to the user to prompt the user to replace the commodity so as to identify the settlement commodity again. The alert message may be sent in a variety of ways, such as an alert on APP, a telephone voice alert, or a short message.
According to an embodiment of the present invention, the weight information and the weight gain information of the different commodity are consistent, that is, the difference between the weight information and the weight gain information of the different commodity is smaller than a preset value. The predetermined value may be 30 grams, 20 grams, 10 grams, 5 grams, 3.5 grams, or 2.5 grams. Preferably 5 grams or less. The selection of the preset value may vary according to the weight of the goods. In the case of factory-processed goods, the weight difference between the respective goods is not large, and the preset value can be made smaller. If the weight difference of the fresh commodities or the commodities processed on site is likely to be larger, the preset numerical value can be set to be larger.
According to the system and the method, when the user puts the identified and added commodity in the shopping commodity list back to the shelf, the weight increase of the shelf is sensed, so that whether the settlement commodity list is correct or not is verified according to the weight increase information of the shelf after the shopping commodity list and the settlement commodity list are compared to be different during final settlement, and the problem that the settlement commodity list is mistakenly settled due to poor commodity placing position or low identification rate caused by the problem of an RFID detector when the settlement commodity list is generated is solved.
FIG. 2 is a schematic diagram of an unmanned convenience store ordering system according to one embodiment of the invention. As shown, the unmanned convenience store order system includes: a plurality of first detectors 201 and 203 configured to obtain the goods taken by the user. A plurality of gravity sensors 204 and 206 configured to acquire weight gain information of the shelves. In some embodiments, the plurality of gravity sensors 204 and 206 are activated when the user is within a preset range. As mentioned above, the predetermined range is within 1 meter, within 1.5 meters or within 2 meters. A second detector 207, disposed at the settlement area, configured to acquire the user settlement goods. A processor 208 configured to compare weight information G2 and weight gain information G1 for a difference one of the user taken goods that is not present in the user settled goods. When the weight information G2 of the different commodity is consistent with the weight gain information G1, generating an order according to the commodity settled by the user; or when the weight information G2 of the difference commodity is not consistent with the weight gain information G1, prompting the user to replace the commodity.
In some embodiments, the plurality of first detectors 201 and 203 are a plurality of RFID detectors; the second detector 207 is an RFID detector. In some embodiments, the verification system for the unattended convenience store user to put back the merchandise includes a third detector 209 (e.g., one or more cameras) configured to monitor the user's actions. The processor 208 receives the user video from the third detector, identifies the action of the user to replace the item, and matches the action of replacing the item with the corresponding weight gain information.
According to an embodiment of the present invention, if there are a plurality of the difference commodities, it is more complicated to determine whether the weight information G2 of the difference commodity coincides with the weight gain information G1. Fig. 3 is a flowchart of determining whether the weight information G2 of the difference item is consistent with the weight gain information G1 according to an embodiment of the present invention. As shown in the figure, the judging method includes the following steps:
at step 310, the number of times n2 the item was placed back is obtained.
In step 320, comparing whether the number n1 of the difference commodities is the same as the number n2 of actions of putting back the commodities, if n1 is equal to n2, the difference commodity is put back on the shelf by the user currently, and going to step 330; if n1 is not equal to n2, at step 340, it is confirmed that the weight information of the difference item does not match the weight gain information, and a notification is sent to remind the user to reposition.
In step 330, for convenience of value taking, the weight label of the difference commodity is set as G2iI is 1,2,3 … … m in this step, i is assigned a value of 1 for the first time.
In step 350, the weight data label G1 in the weight gain information is setjJ is 1,1,2 … … m, and in this step j is assigned, the first time j is 1.
At step 360, the weight G2 of the difference commodity is calculatediWeight data G1 in the weight gain informationjThe weight difference E1 k;
in step 370, comparing the weight difference E1k with a weight threshold Es, and if the weight difference E1k is less than or equal to the weight threshold Es, proceeding to step 380; if the weight difference E1 is greater than the weight threshold Es, go to step 400.
In step 380, it is determined whether the current value of i is equal to m, i.e., whether all the difference products have been compared. If not, return to step 330 and reassign i, resulting in the next G2iAnd (4) repeating the process until i is m, and comparing all the difference commodities with the weight gain information. If all the difference goods have the weight G2iWeight data G1 in the weight gain informationjIs less than or equal to the weight threshold Es, it is confirmed in step 390 that the weight information of the difference item matches the weight gain information.
In step 400, it is determined whether the current value of j is equal to m, if not, the process returns to step 350, and j is re-assigned to obtain the next G1jRepeating the above process until j equals m, when the weight of one different commodity is G2iWeight data G1 in all weight gain informationjAfter comparison, all weight differences E1k are greater than the weight threshold Es, which indicates that the weight of the current difference commodity is different from the weight data G1 in all weight gain informationjThere is no match, and it can be confirmed in step 540 that the weight information of the different product does not match the weight gain information without comparing the next different product.
According to another embodiment of the present invention, if there are a plurality of the difference products, the process of determining whether the weight information G2 of the difference product matches the weight gain information G1 is shown in fig. 4.
In step 410, total weight information G2 of all the different commodities is calculatedGeneral assembly。
In step 420, total weight gain information G1 of all weight gain information is calculatedGeneral assembly。
At step 430, total weight information G2 is calculatedGeneral assembly. And total weight gain information G1General assemblyAnd whether it is less than or equal to the total threshold Es is determinedGeneral assembly. If the total weight information G2General assembly. And total weight gain information G1General assemblyIs less than or equal to a total threshold value EsGeneral assemblyThen it is confirmed at step 440 that the weight information G2 of the difference commodity matches the weight gain information G1. Otherwise, it is confirmed at step 450 that the weight information G2 of the difference commodity does not match the weight gain information G1.
As can be seen from the above detailed description, the present invention verifies the goods for settlement, thereby improving the accuracy of generating a shopping order.
The above embodiments are provided only for illustrating the present invention and not for limiting the present invention, and those skilled in the art can make various changes and modifications without departing from the scope of the present invention, and therefore, all equivalent technical solutions should fall within the scope of the present invention.

Claims (10)

1. An unmanned convenience store order generation method, comprising:
acquiring a commodity taken by a user;
detecting the weight gain state of a shelf in a preset range around a user, and acquiring weight gain information;
acquiring a user settlement commodity;
comparing the weight information and the weight gain information of the different commodities which do not appear in the commodities settled by the user in the commodities taken by the user; and
if the weight information of the different commodities is consistent with the weight increasing information, generating an order according to the commodity settled by the user;
further comprising:
recognizing the action of the user for replacing the commodity;
matching the action of putting back the commodity with the weight gain information;
when the weight information and the weight gain information of the different commodities, which do not appear in the user settlement commodities, in the commodities taken by the user are compared, when a plurality of different commodities are available, the number of the different commodities is matched with the number of times of actions of putting back the commodities; and if the number of the different commodities is the same as the times of the actions of putting back the commodities, respectively matching the weight information of the plurality of different commodities with a plurality of weight increasing information of the actions of putting back the commodities for a plurality of times.
2. The method of claim 1, further comprising:
querying the identified action of placing back the item; and
and acquiring weight gain information corresponding to the action of putting back the commodity.
3. The method of claim 1, wherein the weight information of the differentiated product is from product information in an RFID tag, or the weight information of the differentiated product is from a gravity sensor of a shelf where the product is located when the user takes the product.
4. The method according to claim 1 or 2, wherein in comparing weight information and weight gain information of a different commodity which does not appear in the user's settlement commodity among the commodities taken by the user, when the different commodity is plural, total weight information of the plural different commodities is matched with total weight gain information of a sum of the plural weight gain information.
5. The method of claim 1, further comprising: and if the weight information of the different commodity is inconsistent with the weight gain information, notifying the user.
6. The method of claim 1 or 5, wherein the weight information and the weight gain information of the difference commodity are consistent in that a difference between the weight information and the weight gain information of the difference commodity is less than a preset threshold value.
7. An unmanned convenience store order generation system, comprising:
one or more first detectors configured to acquire a user's pick up of merchandise;
one or more gravity sensors configured to acquire weight gain information of a shelf, wherein the gravity sensors on the shelf when located within a preset range around a user are in an activated state;
one or more second detectors configured to acquire user-settled goods; and
a processor configured to compare weight information and weight gain information of a differential commodity, which is not present in the user settled commodity, among the user taken commodities, and generate an order according to the user settled commodity when the weight information and the weight gain information of the differential commodity are consistent;
further comprising: one or more third detectors configured to monitor the actions of the user; wherein the processor is further configured to identify an action of the user to place back the item; matching the action of putting back the commodity with the weight gain information;
matching the number of the differential commodities with the number of times of actions of putting back the commodities when the differential commodities are multiple; and if the number of the different commodities is the same as the times of the actions of putting back the commodities, respectively matching the weight information of the plurality of different commodities with a plurality of weight increasing information of the actions of putting back the commodities for a plurality of times.
8. The system of claim 7, wherein the predetermined range is within 1 meter, within 1.5 meters, or within 2 meters.
9. The system of claim 7, wherein the processor is further configured to: when the difference commodity is a plurality of commodities, matching the total weight information of the commodities with the total weight gain information of the sum of the weight gain information.
10. The system of claim 7, wherein the first probe is an RFID probe; the second detector is an RFID detector.
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