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公开(公告)号:US10778516B2
公开(公告)日:2020-09-15
申请号:US15698993
申请日:2017-09-08
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor: Soteris Demetriou , Puneet Jain
Abstract: Examples herein relate to determining a next state in which to transition multiple IoT devices within an environment. Examples disclose determining, via operation of a state machine, a current state of the multiple IoT devices within the environment. The state machine receives contextual information. Based on the current state and the contextual information, the state machine determine a next state of the multiple IoT devices in which to transition of the multiple IoT devices within the environment.
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公开(公告)号:US20200034976A1
公开(公告)日:2020-01-30
申请号:US16049107
申请日:2018-07-30
Applicant: Hewlett Packard Enterprise Development LP
Inventor: Theodore A. Stone , Puneet Jain , Nathaniel Stone , Kyu-Han Kim
Abstract: Examples include detecting objects and determining a set of features for the objects. Examples include receiving a first image input, generating a number of feature maps from the first image input using a number of convolution filters, generating a first number of fully connected layers directly based on the number of feature maps, and detecting a number of objects in the first image and determining a set of features for each object from the first number of fully connected layers.
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公开(公告)号:US20190132696A1
公开(公告)日:2019-05-02
申请号:US15796320
申请日:2017-10-27
Applicant: Hewlett Packard Enterprise Development LP
Inventor: Yurong Jiang , Kyu Han Kim , Puneet Jain , Xiaochen Liu
Abstract: An example system comprising: a processing resource; and a memory resource storing machine readable instructions executable to cause the processing resource to: receive a Bluetooth Low Energy (BLE) signal transmitted from a user device; generate, from the BLE signal, a BLE moving pattern of the user device, wherein the BLE moving pattern is generated at a different entity than an entity that transmits the BLE signal; track an object carrying the user device via visual information of the object such that a visual moving pattern of the object is generated from the tracking; determine the visual moving pattern matches the BLE moving pattern; and assign, responsive to the determination, an identity obtained from the user device to the object being tracked via the visual information.
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公开(公告)号:US11012841B2
公开(公告)日:2021-05-18
申请号:US16694324
申请日:2019-11-25
Applicant: Hewlett Packard Enterprise Development LP
Inventor: Yurong Jiang , Kyu Han Kim , Puneet Jain , Xiaochen Liu
Abstract: An example system comprising: a processing resource; and a memory resource storing machine readable instructions executable to cause the processing resource to: receive a Bluetooth Low Energy (BLE) signal transmitted from a user device; generate, from the BLE signal, a BLE moving pattern of the user device, wherein the BLE moving pattern is generated at a different entity than an entity that transmits the BLE signal; track an object carrying the user device via visual information of the object such that a visual moving pattern of the object is generated from the tracking; determine the visual moving pattern matches the BLE moving pattern; and assign, responsive to the determination, an identity obtained from the user device to the object being tracked via the visual information.
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公开(公告)号:US10380889B2
公开(公告)日:2019-08-13
申请号:US15664357
申请日:2017-07-31
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor: Puneet Jain , Soteris Demetriou , Kyu-Han Kim
IPC: B60R25/102 , B60R25/33 , G08G1/123 , G06K9/00
Abstract: Examples provided herein describe a method for determining car positions. For example, a physical processor of an edge computing device may receive position data for a legacy car and information about a make and model of the legacy car. The first edge device may also receive, from a sensor-rich car, a set of sensor data about a set of observed cars in the vicinity of the sensor-rich car, a set of position data for the set of observed cars, and a set of visual data of the set of observed cars, wherein the set of observed cars includes the legacy car and the sensor-rich car. The edge device may then determine an updated position for the legacy car based on the set of position data for the set of observed cars, the set of visual data, and the set of sensor data and provide the updated position of the legacy car.
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公开(公告)号:US11074453B2
公开(公告)日:2021-07-27
申请号:US15884939
申请日:2018-01-31
Applicant: Hewlett Packard Enterprise Development LP
Inventor: Nathaniel Stone , Puneet Jain , Theodore A. Stone , Kyu-Han Kim
Abstract: An example video analytics device can include a memory, a processor executing instructions stored in the memory, an active region detector to identify a plurality of active regions of a plurality of video streams, wherein the plurality of active regions are sections in the plurality of video streams that change from a first frame to a second frame, and a bin packer communicatively coupled with the processor to combine the plurality of active regions to produce a multi-batch of an individual slice, wherein the multi-batch of the individual slice is a batch including the plurality of active regions that is processed at once.
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公开(公告)号:US11158063B2
公开(公告)日:2021-10-26
申请号:US16049107
申请日:2018-07-30
Applicant: Hewlett Packard Enterprise Development LP
Inventor: Theodore A. Stone , Puneet Jain , Nathaniel Stone , Kyu Han Kim
Abstract: Examples include detecting objects and determining a set of features for the objects. Examples include receiving a first image input, generating a number of feature maps from the first image input using a number of convolution filters, generating a first number of fully connected layers directly based on the number of feature maps, and detecting a number of objects in the first image and determining a set of features for each object from the first number of fully connected layers.
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公开(公告)号:US10516982B2
公开(公告)日:2019-12-24
申请号:US15796320
申请日:2017-10-27
Applicant: Hewlett Packard Enterprise Development LP
Inventor: Yurong Jiang , Kyu Han Kim , Puneet Jain , Xiaochen Liu
Abstract: An example system comprising: a processing resource; and a memory resource storing machine readable instructions executable to cause the processing resource to: receive a Bluetooth Low Energy (BLE) signal transmitted from a user device; generate, from the BLE signal, a BLE moving pattern of the user device, wherein the BLE moving pattern is generated at a different entity than an entity that transmits the BLE signal; track an object carrying the user device via visual information of the object such that a visual moving pattern of the object is generated from the tracking; determine the visual moving pattern matches the BLE moving pattern; and assign, responsive to the determination, an identity obtained from the user device to the object being tracked via the visual information.
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公开(公告)号:US20190236372A1
公开(公告)日:2019-08-01
申请号:US15884939
申请日:2018-01-31
Applicant: Hewlett Packard Enterprise Development LP
Inventor: Nathaniel Stone , Puneet Jain , Theodore A. Stone , Kyu-Han Kim
CPC classification number: G06K9/00718 , G06T1/20 , G06T7/254 , G06T2207/10016 , G06T2207/20084
Abstract: An example video analytics device can include a memory, a processor executing instructions stored in the memory, an active region detector to identify a plurality of active regions of a plurality of video streams, wherein the plurality of active regions are sections in the plurality of video streams that change from a first frame to a second frame, and a bin packer communicatively coupled with the processor to combine the plurality of active regions to produce a multi-batch of an individual slice, wherein the multi-batch of the individual slice is a batch including the plurality of active regions that is processed at once.
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公开(公告)号:US11798175B2
公开(公告)日:2023-10-24
申请号:US17498103
申请日:2021-10-11
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor: Theodore Stone , Puneet Jain , Nathaniel Stone , Kyu Han Kim
IPC: G06T7/246 , G06N3/08 , G06V10/75 , G06V10/764 , G06V10/82
CPC classification number: G06T7/248 , G06N3/08 , G06T7/246 , G06V10/75 , G06V10/764 , G06V10/82 , G06T2207/10016 , G06T2207/20081
Abstract: Examples include detecting objects and determining a set of features for the objects. Examples include receiving a first image input, generating a number of feature maps from the first image input using a number of convolution filters, generating a first number of fully connected layers directly based on the number of feature maps, and detecting a number of objects in the first image and determining a set of features for each object from the first number of fully connected layers.
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