- Patent Title: Neural network classifier trained for purchasing differentiation
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Application No.: US17171143Application Date: 2021-02-09
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Publication No.: US11651664B2Publication Date: 2023-05-16
- Inventor: Mohammad Khojastepour , Mustafa Arslan , Sampath Rangarajan , Eugene Chai , Carlos Bocanegra
- Applicant: NEC Laboratories America, Inc.
- Applicant Address: US NJ Princeton
- Assignee: NEC Corporation
- Current Assignee: NEC Corporation
- Current Assignee Address: JP Tokyo
- Agent Joseph Kolodka
- Main IPC: G07G1/00
- IPC: G07G1/00 ; G06Q20/20 ; G06K7/10 ; G06K19/07 ; G06N3/04 ; G06N3/08 ; G06Q10/08 ; G06Q20/18 ; G07C9/00 ; G06Q10/087

Abstract:
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.
Public/Granted literature
- US20210248580A1 NEURAL NETWORK CLASSIFIER TRAINED FOR PURCHASING DIFFERENTIATION Public/Granted day:2021-08-12
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