US 12,229,776 B2
Cash handling system and cash transaction method
Ming-Hsun Liu, Taipei (TW); and Yang-Chun Lo, New Taipei (TW)
Assigned to Masterwork Automodules Tech Corp. Ltd, Taipei (TW)
Filed by Masterwork Automodules Tech Corp. Ltd, Taipei (TW)
Filed on Nov. 17, 2020, as Appl. No. 16/950,873.
Application 16/950,873 is a continuation of application No. 16/141,924, filed on Sep. 25, 2018, abandoned.
Claims priority of application No. 107123866 (TW), filed on Jul. 10, 2018; and application No. I/1583 (MO), filed on Sep. 4, 2018.
Prior Publication US 2021/0065196 A1, Mar. 4, 2021
Int. Cl. G06Q 20/40 (2012.01); G06Q 20/10 (2012.01); G06Q 20/20 (2012.01)
CPC G06Q 20/40145 (2013.01) [G06Q 20/108 (2013.01); G06Q 20/20 (2013.01)] 1 Claim
OG exemplary drawing
 
1. A cash handling system, enabling a subsequent payment operation on order data corresponding to a consumer for selecting related products or services, comprising:
at least one order terminal, comprising a first camera configured to capture a first image; and a cash payment terminal, comprising a second camera configured to capture a second image, wherein the cash payment terminal performs functions of an automatic cash handling apparatus and communicates with the at least one order terminal, wherein the at least one order terminal performs the following steps:
capturing the first image, wherein the first image comprises at least one piece of first face data corresponding to the consumer;
transmitting at least one piece of first face data to the cash payment terminal before the order terminal completes linking the at least one piece of first face data and the order data together to generate a client data;
obtaining the order data inputted by the consumer at the at least one order terminal and generating the client data according to the order data and the at least one piece of first face data,
wherein the cash payment terminal divides the at least one piece of first face data into a plurality of face data clusters according to a data clustering algorithm after obtaining the at least one piece of first face data, wherein each of the face data clusters corresponds to each of consumers,
wherein the cash payment terminal obtains the client data and captures the second image and looks for a plurality of pieces of similar face data similar to second face data and located in the at least one piece of first face data by using the second face data obtained by analyzing the second image according to the data clustering algorithm and determines the consumer corresponding to face data to be determined according to the divided face data cluster of the pieces of similar face data to obtain a specific face data,
wherein the cash payment terminal enables the payment operation in response to the specific face data appears in the second image.