Nec Corporation

Carlos Bocanegra

Mohammad Ali Khojastepour

Sampath Rangarajan

Eugene Chai

Mustafa Arslan

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.

Neural network classifier trained for purchasing differentiation

Systems and methods for is provided for self-checkout at a point-of-sale. The system and method includes a plurality of radio frequency identification (RFID) transceivers, an RFID reader, wherein the RFID reader is configured to receive a response with an RFID code from each of a plurality of RFID tags activated simultaneously by at least one of the plurality of radio frequency identification (RFID) transceivers, and decode the RFID code from the response received from each of the RFID tags, and a classifier configured to determine whether each of the plurality of RFID tags is inside or outside a walk-through checkout area inside a store, wherein the system calculates an amount charged to a customer based on the cost of the items identified as within the walk-through checkout area.

Self checkout system

A computer-implemented method is provided for picking a 16-bit random sequence (RN16) and generating an acknowledgement packet in a tag reading session. The method includes decoding RN16s from signals received by a plurality of antennas by treating signal interference as noise. The method further includes selecting the RN16 from the decoded RN16s based on properties of the decoded RN16s and the signals from which they are decoded in the tag reading session. The method also includes generating the acknowledgement packet based on the selected RN16.

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Boston, MA, United States of America

Carlos Bocanegra