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公开(公告)号:US10950105B2
公开(公告)日:2021-03-16
申请号:US16147290
申请日:2018-09-28
Applicant: Intel Corporation
Inventor: Scott Thomas , Daniel Gutwein , John Belstner , Daniel Stokes
Abstract: Systems, apparatuses, and methods for autonomous sensor placement discovery for RFID systems are disclosed. Sensors are deployed in a brick and mortar store that can scan for and receive signals from a plurality of locating tags as well as RFID tags. The locating tags may transmit ultra-wideband signals in response to a scan to provide precise determination of the location of each locating tag relative to a detecting sensor. Each sensor may also include a locating tag to enable determining the location of each sensor. The location information from the locating tags is provided to a gateway, which can provide a display of the locations of sensors and locating tags in the brick and mortar store and areas of no coverage, as well as autonomously control various parameters of the sensors to minimize or eliminate some or all areas of no coverage.
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公开(公告)号:US10706242B2
公开(公告)日:2020-07-07
申请号:US15199400
申请日:2016-06-30
Applicant: INTEL CORPORATION
Inventor: Michael Wu , Addicam V. Sanjay , Daniel Gutwein , Hoang Tran Van , Kalpana Algotar
IPC: G06K7/10
Abstract: In various embodiments, an RFID Antenna/Tag Location Configuration device (RLC) may facilitate placement of one or more RFID antennas in a physical space. The RLC may collect RFID data from tags determine which of the RFID antennas need to be relocated. The RLC may determine, based on collected RFID data, whether each antenna is a dominant antenna and/or has a substantial read rate. If an antenna is not dominant and/or does not exhibit a substantial read-rate, the RLC ma indicate that the antenna should be relocated. The RLC may also be configured to filter collected RFID data prior to using the data for determination of antennas. The RLC may also determine, using the RFID antennas, a physical location of RFID tags in the physical space using detected signal strength for RFID tags. Additional embodiments may be described and/or claimed.
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公开(公告)号:US20190102686A1
公开(公告)日:2019-04-04
申请号:US15721283
申请日:2017-09-29
Applicant: Intel Corporation
Inventor: Shao-Wen Yang , Siew Wen Chin , Addicam V. Sanjay , Jose A. Avalos , Joe Jensen , Michael Millsap , Daniel Gutwein
Abstract: A system includes a self-learning module for creating a self-learned planogram based on images of shelving units at a location and shelving unit tracking. The self-learned planogram includes shelving unit locations for the shelving units. The system also includes a training module for training the merchandise tracking model based on merchandise-shelving unit clustering. The merchandise-shelving unit clustering is based on the self-learned planogram and sensor readings received from sensors at the location. The sensor readings are associated with items at the location. The system further includes a tracking module for tracking and storing locations of the items based on the sensor readings and the merchandise tracking model. The system also includes a planogram compliance module for determining planogram compliance based on comparing the self-learned planogram to the item locations. The system identities actionable insights based on the planogram compliance and additionally includes a display device to present the actionable insights.
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