专利检索 ap:("LG ELECTRONICS INC.") AND inv:"Danish Thomas" 第 1 页

1.

发明申请
DEEP LEARNING NEURAL NETWORK BASED SECURITY SYSTEM AND CONTROL METHOD THEREFOR 审中-公开

公开(公告)号：US20200053559A1

公开(公告)日：2020-02-13

申请号：US16344347

申请日：2017-10-23

申请人： LG ELECTRONICS INC.

发明人： Jooyoung KIM , Danish Thomas , Jungjoon LEE , Viswanath GANAPATHY

IPC分类号： H04W12/00 , G06N3/04 , G06K9/62

摘要： The present invention relates to a deep learning neural network based security system and a control method therefor and, more particularly, to a deep learning neural network based security system comprising: at least one WiFi node; and a deep learning module for detecting an object from a WiFi signal received from the WiFi node, wherein the deep learning module identifies information on the object when the object is detected.

2.

发明授权
Deep learning neural network based security system and control method therefor 有权

公开(公告)号：US10785643B2

公开(公告)日：2020-09-22

申请号：US16344347

申请日：2017-10-23

申请人： LG ELECTRONICS INC.

发明人： Jooyoung Kim , Danish Thomas , Jungjoon Lee , Viswanath Ganapathy

IPC分类号： H04W4/38 , H04W36/06 , H04W12/00 , G06K9/62 , G06N3/04

摘要： The present invention relates to a deep learning neural network based security system and a control method therefor and, more particularly, to a deep learning neural network based security system comprising: at least one WiFi node; and a deep learning module for detecting an object from a WiFi signal received from the WiFi node, wherein the deep learning module identifies information on the object when the object is detected.