Payment methods, smart scales, smart cash registers and barcode scales

Abstract

This invention relates to a merchandise settlement method, a smart scale, a smart cash register, and a barcode scale. The settlement method includes: acquiring an image and weight information of a target product; recognizing the image of the target product and obtaining at least one recognition result; sorting the at least one recognition result; obtaining the sorted recognition result; retrieving a merchandise information database and matching the sorted recognition result with the weight information of the target product to obtain the merchandise information of the sorted recognition result; and adding the merchandise information of the first-ranked recognition result to the POS system's cash register list or label printer. This invention eliminates the need for manual selection during merchandise settlement, significantly improving checkout efficiency.

Description

Technical Field

[0001] This invention relates to the field of smart scales, specifically to a commodity settlement method, a smart scale, a smart cash register, and a barcode scale. Background Technology

[0002] Currently, smart scales are equipped with AI cameras that automatically identify products and then combine the identified product information with the product's weight for payment. However, because the accuracy of current AI cameras in identifying products is not 100%, manual intervention is required after the AI ​​camera identifies the product information before the results can be transmitted to the POS system's cash register or used for label printing.

[0003] Currently, during the product checkout process, when the AI ​​camera's recognition result is not unique, the operator needs to select the correct result from multiple recognition options before proceeding with the checkout. Even when the AI ​​camera's recognition result is unique, the operator still needs to select the correct result before proceeding. In short, the current product checkout process requires manual operation regardless of whether the AI ​​camera's recognition result is unique, which is cumbersome and prone to errors. Summary of the Invention

[0004] In view of the problems existing in the prior art, the purpose of this invention is to provide a commodity settlement method, a smart scale, a smart cash register and a barcode scale, so as to eliminate the manual selection step in the settlement process, simplify the settlement process and improve the cash register efficiency.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0006] A commodity settlement method, comprising

[0007] S1. Collect images and weight information of the target product;

[0008] S2. Recognize the image of the target product and obtain at least one recognition result;

[0009] S3. Sort the at least one identification result once;

[0010] S4. Obtain the identification results of the first sorting, retrieve the product information database, and match the product information of the first sorting results with the weight information of the target product to obtain the product information of the first sorting results.

[0011] S5. Add the product information of the first sorted identification result to the POS system cash register list or label printer.

[0012] The obtained identification result is at least one screening result that is higher than the preset confidence level.

[0013] The sorting is performed based on the confidence level of the recognition results.

[0014] The product information database includes a specific product information database, which contains product information of specific products. In step S4, when at least two of the identification results match the specific product information database, and one of the identification results is in the first order in a first sort, the product information of the identification results that match the specific product information database is sorted a second time, and the product information of the first order identification result in the second sort is obtained. The second sort is based on the price of the products in the product information.

[0015] The product settlement method further includes step S6, receiving user feedback, and replacing the original matching product information in the POS system cash register list with another matching product information based on the user feedback, or outputting it to the label printer.

[0016] A smart scale, comprising:

[0017] The weighing module is configured to collect the weight information of the target product;

[0018] The image acquisition module is configured to acquire images of the target product;

[0019] The product recognition module is configured to recognize the target product based on an image and obtain at least one recognition result;

[0020] The matching module is configured to retrieve product information from a product information database and perform product information matching on the at least one identification result in combination with the weight information of the target product;

[0021] A sorting module is configured to sort the at least one identification result;

[0022] The feedback module is configured to output the product information that matches the first priority recognition result.

[0023] The sorting of the at least one identification result includes a primary sort and a secondary sort. The primary sort is based on the confidence level of the identification result. The product information database includes a specific product information database, which contains product information of a specific product. The sorting module is further configured to perform a secondary sort on the product information of the identification results that match the specific product information database when at least two identification results match the specific product information database, and one of the identification results is in the first order in the primary sort. The secondary sort is based on the price of the product in the product information.

[0024] The feedback module is also configured to receive user feedback and replace the original matching product information in the POS system's cash register list with another matching product information from the identification result, or output it to a label printer.

[0025] A smart cash register includes a smart scale as described above, and a POS system that is signal-connected to the output module of the smart scale. The POS system is configured to receive product information matching the identification result output by the output module and add it to the cash register list.

[0026] A barcode scale includes a smart scale as described above, and a label printer that is signal-connected to the output module of the smart scale. The label printer is configured to print labels on product information that matches the identification result output by the output module.

[0027] After adopting the above solution, during checkout, if the product information of at least one of the sorted identification results is directly added to the POS system's cashier list or label printer, manual selection is unnecessary, greatly improving checkout efficiency and significantly reducing the error rate caused by manual selection. If the identification results are not unique, user feedback is received, and based on this feedback, the other matching product information from the identification result replaces the original matching product information in the POS system's cashier list or is output to the label printer. Manual confirmation ensures the accuracy of the settlement. Attached Figure Description

[0028] Figure 1 This is a flowchart of an embodiment of the method of the present invention;

[0029] Figure 2 This is a block diagram illustrating the principle of a smart scale.

[0030] Figure 3 This is a schematic diagram of the principle of an intelligent cash register.

[0031] Figure 4 This is a block diagram illustrating the principle of a barcode scale. Implementation

[0032] like Figure 1 As shown, this invention discloses a commodity settlement method, which includes the following steps:

[0033] S1. Collect images and weight information of the target product;

[0034] S2. Recognize the image of the target product and obtain at least one recognition result;

[0035] S3. Sort the at least one identification result once;

[0036] S4. Obtain the identification results of the first sorting, retrieve the product information database, and match the product information of the first sorting results with the weight information of the target product to obtain the product information of the first sorting results.

[0037] S5. Add the product information of the first sorted identification result to the POS system cash register list or label printer.

[0038] In the above method, at least one identification result obtained in step S2 is higher than the screening result under the preset confidence condition, such as a confidence level greater than 70%, 80% or 90%.

[0039] It should be noted that in step S4, the other identification results besides the first priority are retrieved from the product information database and matched with the weight information of the target product to perform product information matching, and then displayed as candidate product information.

[0040] During the settlement process, the initial sorting is based on the confidence level of the identification results. The product information database includes a specific product information database, which contains product information for specific products. In step S4, when at least two identification results match the specific product information database, and one of the identification results is ranked first in the initial sorting, the product information of the identification results matching the specific product information database is sorted a second time, and the product information of the first-ranked identification result in the second sorting is obtained. The second sorting is based on the price of the products in the product information. The specific product information database contains the same type of product from different origins or of different sizes, such as Shanxi Red Fuji apples, Shaanxi Red Fuji apples, and Shandong Red Fuji apples, or domestic cherries and imported cherries. The highest-priced item is ranked first to prevent high-priced goods from being sold at low prices, thus serving as a loss prevention measure.

[0041] It should be noted that when a secondary sort is performed in step S4, step S5 adds the product information of the first-order identification result of the secondary sort to the POS system's cash register list or label printer. When a secondary sort is not performed in step S4, step S5 directly adds the product information of the first-order identification result of the primary sort to the POS system's cash register list or label printer.

[0042] During checkout, the product information of at least one of the sorted identification results will be directly added to the POS system's cashier list or label printer, eliminating the need for manual selection, which greatly improves checkout efficiency and significantly reduces the error rate caused by manual selection.

[0043] To improve settlement accuracy, this invention adds a user feedback step, namely step S6, which receives user feedback and, based on the user feedback, replaces the original matching product information in the POS system's cash register list with another matching product information from the identification result or outputs it to a label printer. The other matching product information from the identification result is the candidate product information mentioned above. The accuracy of settlement is ensured through manual confirmation.

[0044] Based on the same inventive concept, this invention also discloses a smart scale, such as... Figure 2 As shown, the smart scale includes:

[0045] The weighing module is configured to collect the weight information of the target product;

[0046] The image acquisition module is configured to acquire images of the target product;

[0047] The product recognition module is configured to recognize the target product based on an image and obtain at least one recognition result;

[0048] The matching module is configured to retrieve product information from a product information database and perform product information matching on the at least one identification result in combination with the weight information of the target product;

[0049] A sorting module is configured to sort the at least one identification result; the sorting of the at least one identification result includes a primary sort and a secondary sort, wherein the primary sort is based on the confidence level of the identification result; the product information database includes a specific product information database, which contains product information of a specific product; the sorting module is further configured to perform a secondary sort on the product information of the identification result matching the specific product information database when at least two of the identification results match the specific product information database, and one of the identification results is in the first order in the primary sort. This secondary sort is based on the price of the product in the product information.

[0050] The feedback module is configured to output the product information matching the first-order recognition result. This output of product information matching the first-order recognition result is an automatic operation performed by the smart scale, requiring no manual intervention.

[0051] The feedback module is also configured to receive user feedback and replace the original matching product information in the POS system's cashier list with another matching product information from the recognition result, or output it to the label printer. Specifically, after adding the first-ranked matching product information to the POS system's cashier list or the label printer, the module receives user feedback and, based on the user feedback, replaces the original matching product information in the POS system's cashier list with another matching product information from the recognition result, or outputs it to the label printer.

[0052] Based on the above structure, the smart scale can implement the above-mentioned commodity settlement method to improve settlement efficiency.

[0053] Furthermore, the present invention also discloses an intelligent cash register, such as Figure 3 As shown, the smart cash register includes a smart scale with the above-described structure, and a POS system that is signal-connected to the output module of the smart scale. The POS system is configured to receive product information that matches the recognition result output by the output module and add it to the cash register list.

[0054] Furthermore, the present invention also discloses a barcode scale, such as Figure 4 As shown, the barcode scale includes the aforementioned smart scale and a label printer that is signal-connected to the output module of the smart scale. The label printer is configured to print labels for products that match the identification results output by the output module.

[0055] In summary, the key to this invention is that it eliminates the need for manual selection during checkout, simplifying the process, greatly improving checkout efficiency, and significantly reducing the error rate caused by manual selection.

[0056] The above description is merely an embodiment of the present invention and does not constitute any limitation on the technical scope of the present invention. Therefore, any minor modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of the present invention shall still fall within the scope of the technical solution of the present invention.

Claims

1. A commodity settlement method, characterized in that: include S1. Collect images and weight information of the target product; S2. Recognize the image of the target product and obtain at least one recognition result; S3. Sort the at least one identification result once; S4. Obtain the identification result of the first sorting, retrieve the product information database, and match the product information of the first sorting identification result with the weight information of the target product to obtain the product information of the first sorting identification result; the product information database includes a specific product information database, which contains product information of a specific product, and the specific product information database contains the same type of product from different places of origin or different sizes. When at least two of the identification results match the specific product information database, and one of the identification results is ranked first in a first sort, the product information of the identification results that match the specific product information database is sorted a second time, and the product information of the first-ranked identification result in the second sort is obtained; the second sort is based on the price of the product in the product information. S5. Add the product information of the first sorted identification result to the POS system cash register list or label printer.

2. The commodity settlement method according to claim 1, characterized in that: The obtained identification result is at least one screening result that is higher than the preset confidence level.

3. The commodity settlement method according to claim 1, characterized in that: The sorting is performed based on the confidence level of the recognition results.

4. The commodity settlement method according to claim 1, characterized in that: The product settlement method further includes step S6, receiving user feedback, and replacing the original matching product information in the POS system cash register list with another matching product information based on the user feedback, or outputting it to the label printer.

5. A smart scale, characterized in that: include: The weighing module is configured to collect the weight information of the target product; The image acquisition module is configured to acquire images of the target product; The product recognition module is configured to recognize the target product based on an image and obtain at least one recognition result; The matching module is configured to retrieve product information from a product information database and perform product information matching on the at least one identification result in combination with the weight information of the target product; A sorting module is configured to sort the at least one identification result; The sorting of the at least one identification result includes a primary sort and a secondary sort. The primary sort is based on the confidence level of the identification result. The product information database includes a specific product information database, which contains product information for a specific product and includes the same type of product from different origins or of different sizes. The sorting module is further configured to perform a secondary sort on the product information of the identification results matching the specific product information database when at least two identification results match the specific product information database, and one of the identification results is ranked first in the primary sort. This secondary sort is based on the price level of the product information. The feedback module is configured to output the product information that matches the first priority recognition result.

6. The intelligent scale according to claim 5, characterized in that: The feedback module is also configured to receive user feedback and replace the original matching product information in the POS system's cash register list with another matching product information from the identification result, or output it to a label printer.

7. A smart cash register, characterized in that: The invention includes the smart scale as described in any one of claims 5-6, and a POS system that is signal-connected to the output module of the smart scale, wherein the POS system is configured to receive product information matching the identification result output by the output module and add it to the cash register list.

8. A barcode scale, characterized in that: The invention includes a smart scale as described in any one of claims 5-6, and a label printer connected to the output module of the smart scale, wherein the label printer is configured to print labels on product information that matches the recognition result output by the output module.

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