Amazon Technologies, Inc.

Bradley Nathaniel Gray

Jon Robert Ducrou

Ryan David Hapgood

Sergey Parshin

Uladzimir Silchanka

Yeyang Yu

Jeanette Rogers

Matthew Lake

Muthu Pandian Shanmugarajan

Shanmugarajan Muthu Pandian

A system that performs self-diagnosing of unreliable radio frequency identification (RFID) tags in a first location within an environment includes an RFID printer that prints RFID tags in the first location and RFID antennas located at different distances to the first location. The system obtains, for each RFID tag, a first set of RFID parameters of the RFID tag for each RFID antenna when the RFID tag is in the first location. The system generates, for each RFID tag, a model of RFID tag behavior over different distances to an RFID antenna, based at least in part on the first set of RFID parameters obtained for the RFID tag.

Automated RFID tag profiling at application

A system that performs self-calibration for tracking packages includes a frame providing storage locations for storing items, radio frequency identification (RFID) tags disposed in the storage locations, and an RFID antenna(s). The system determines a distance between each RFID tag and the RFID antenna(s) and monitors signal characteristics from each RFID tag. For each RFID tag, the system generates (i) at least one first parameter indicative of an environmental condition(s) at a location of the RFID tag and (ii) at least one second parameter indicative of a response rate behavior of the RFID tag, based on the signal characteristics and the distance between the RFID tag and the RFID antenna(s). The system tracks an RFID tagged item located in one of the storage locations based at least in part on the first and second parameter(s) for each of the RFID tags.

Smart shelf with self calibration

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Auchenflower, Australia

Bradley Nathaniel Gray