公开(公告)号：US20200292656A1

公开(公告)日：2020-09-17

申请号：US16812368

申请日：2020-03-09

Applicant: DSP Group Ltd.

Inventor： Dmitry Lvov

IPC: G01S5/30 ,  G01S15/931 ,  G01S7/524 ,  G01S15/10 ,  G01S11/16

Abstract: There may be provided a method for proximity sensing by a computerized device, the method may include transmitting, by at least one transmitter of a computerized device and during at least one transmission window, one or more transmitted signals, the one or more transmitted signals comprise a transmitted ultrasonic signal; operating at least one receiver of the computerized device to receive, during at least one reception window, one or more received signals that were reflected or scattered due to the transmitting; processing the received signals to provide a processing result, when receiving the received signals by the receiver during the at least one reception window; and determining a proximity of one or more objects to the computerized device based on at least one out of (a) an absence of received signals during the at least one receive window, and (b) the processing results

公开(公告)号：US20200167651A1

公开(公告)日：2020-05-28

申请号：US16693459

申请日：2019-11-25

Applicant: DSP GROUP LTD.

Inventor： Dmitry Lvov ,  LIOR BLANKA

IPC: G06N3/08 ,  G06N3/04

Abstract: A method for distributed neural network processing, the method may include detecting, by a local neural network that belongs to a local device, and based on sensed information, an occurrence of a triggering event for executing or completing a classification or detection process; sending to a remote device, a request for executing or completing the classification or detection process by a remote device that comprises a remote neural network; wherein the remote neural network has more computational resources than the local neural network; determining by the remote device whether to accept the request; and executing or completing, by the remote device, the classification or detection process when determining to accept the request; wherein the executing or completing involves utilizing the remote neural network.