公开(公告)号：US20170078840A1

公开(公告)日：2017-03-16

申请号：US14853152

申请日：2015-09-14

Applicant: Amazon Technologies, Inc.

Inventor： Amit Saurav ,  Erin Fern Breslin ,  Xiaotong Zhang ,  Pradeepa Sekar ,  Margot Johnson ,  Samuel Pike Hall, VI ,  Patrick James Boyle ,  Sherman Gregory Griffin ,  Samuel Stevens Heyworth ,  Douglas James Herrington

IPC: H04W4/02

CPC classification number: H04W4/021 ,  G06Q30/02 ,  G06Q30/0255 ,  G06Q30/0258 ,  G06Q30/0259 ,  G06Q30/0261 ,  G06Q30/0272 ,  H04L67/18 ,  H04L67/26

Abstract: Techniques are provided herein for utilizing a dynamic geo-fence management engine. The techniques include receiving a set of parameters corresponding to a virtual geographic perimeter. A user may be determined based at least in part on a geographical location of the user and the set of parameters corresponding to the virtual geographic perimeter. A notification for the user may be generated, the notification being formatted according to a push notification service protocol the notification including the set of parameters. The notification may be provided to a remote computing device. Receipt of the notification by the remote computing device may cause the remote computing device to provide, to the user, information related to the virtual geographic perimeter.

Abstract translation: 本文提供了利用动态地理栅栏管理引擎的技术。 这些技术包括接收对应于虚拟地理周界的一组参数。 可以至少部分地基于用户的地理位置和对应于虚拟地理周界的参数集来确定用户。 可以生成用户的通知，该通知根据推送通知服务协议进行格式化，该通知包括该组参数。 该通知可以被提供给远程计算设备。 由远程计算设备接收通知可能导致远程计算设备向用户提供与虚拟地理周边相关的信息。

公开(公告)号：US11704518B1

公开(公告)日：2023-07-18

申请号：US17746641

申请日：2022-05-17

Applicant: Amazon Technologies, Inc.

Inventor： Sherif Soliman ,  Kevin Tsukahara ,  Erin Fern Breslin ,  Rhia Bucklin ,  Val Fox ,  Ron Christopher Belmarch ,  Nick M. Stangel

IPC: H04N1/04 ,  G06K15/02 ,  G06N3/08

CPC classification number: G06K15/1805 ,  G06K15/1806 ,  G06N3/08

Abstract: Devices and techniques are generally described for per-image printer setting optimization. In some examples, first data representing first input image data may be generated. A classifier network may generate first category data representing a predicted image category for the first input image data based at least in part on the first data. Second data representing a color of a printing medium and third data associated with a material of the printing medium may be determined. First printer configuration data may be determined by searching a first data structure using a combination of the first category data, the second data, and the third data. The first input image data and the first printer configuration data may be sent to the first printer. The first printer may be effective to print the first input image data using settings specified by the first printer configuration data.