Invention Grant
- Patent Title: Deep learning neural network based security system and control method therefor
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Application No.: US16344347Application Date: 2017-10-23
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Publication No.: US10785643B2Publication Date: 2020-09-22
- Inventor: Jooyoung Kim , Danish Thomas , Jungjoon Lee , Viswanath Ganapathy
- Applicant: LG ELECTRONICS INC.
- Applicant Address: KR Seoul
- Assignee: LG ELECTRONICS INC.
- Current Assignee: LG ELECTRONICS INC.
- Current Assignee Address: KR Seoul
- Agency: Lee, Hong, Degerman, Kang & Waimey
- International Application: PCT/KR2017/011729 WO 20171023
- International Announcement: WO2018/080124 WO 20180503
- Main IPC: H04W4/38
- IPC: H04W4/38 ; H04W36/06 ; H04W12/00 ; G06K9/62 ; G06N3/04

Abstract:
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.
Public/Granted literature
- US20200053559A1 DEEP LEARNING NEURAL NETWORK BASED SECURITY SYSTEM AND CONTROL METHOD THEREFOR Public/Granted day:2020-02-13
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