- 专利标题: Neural network classifier trained for purchasing differentiation
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申请号: US17171143申请日: 2021-02-09
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公开(公告)号: US11651664B2公开(公告)日: 2023-05-16
- 发明人: Mohammad Khojastepour , Mustafa Arslan , Sampath Rangarajan , Eugene Chai , Carlos Bocanegra
- 申请人: NEC Laboratories America, Inc.
- 申请人地址: US NJ Princeton
- 专利权人: NEC Corporation
- 当前专利权人: NEC Corporation
- 当前专利权人地址: JP Tokyo
- 代理商 Joseph Kolodka
- 主分类号: G07G1/00
- IPC分类号: G07G1/00 ; G06Q20/20 ; G06K7/10 ; G06K19/07 ; G06N3/04 ; G06N3/08 ; G06Q10/08 ; G06Q20/18 ; G07C9/00 ; G06Q10/087
摘要:
Systems and methods for self-checkout at a point-of-sale are provided. The system and method includes using a plurality of radio frequency identification (RFID) transceivers within a store, and an RFID reader configured to receive an RFID code from an RFID tag activated by the plurality of radio frequency identification (RFID) transceivers. The system and method also includes using a classifier configured to determine whether the RFID tag is inside or outside a designated area, wherein the classifier is trained in a manner that a number of items incorrectly identified as being purchased is below a threshold to minimize customer dissatisfaction (CDS) determined as the ratio of the value of items charged to the customer but not purchased by a customer to the total charge to the customer.
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