Title:
ANTI-DRONE DETECTION METHOD FOR PRIVACY PROTECTION
Document Type and Number:
WIPO Patent Application WO/2023/177117
Kind Code:
A1
Abstract:
The present invention relates to an anti-drone detection method for privacy protection and, more specifically, in order to protect privacy, provides, at a downtown area building including skyscrapers, apartments, hotels, and the like, a drone scanner for detecting, by means of an acoustic detection sensor, a sound (noise) frequency generated from a propeller of a drone, and then detects the sound (noise) frequency generated from the propeller and transmits same to a server if the drone intrudes into a detection area, and compares same to pre-stored data and analyzes same so as to transmit, to a browser of a client computer, a signal notifying of the location and intrusion of the drone, and thus protects privacy. The present invention can detect a drone even if obstacles are present, and can also detect a drone that does not emit RF signals.
Inventors:
YANG JUNG IN (KR)
Application Number:
PCT/KR2023/002795
Publication Date:
September 21, 2023
Filing Date:
February 28, 2023
Export Citation:
Assignee:
SCONEBOX CO LTD (KR)
CONTENTSSQUARE CO LTD (KR)
CONTENTSSQUARE CO LTD (KR)
International Classes:
G08B13/16; B64C39/02; G01H15/00; G06Q50/10; G08B25/10; G08B25/14; H04L12/10
Foreign References:
| KR102305438B1 | 2021-09-27 | |||
| KR20190111629A | 2019-10-02 | |||
| KR102204296B1 | 2021-01-19 | |||
| KR20200061600A | 2020-06-03 | |||
| KR20190036835A | 2019-04-05 | |||
| KR102450210B1 | 2022-10-04 |
Attorney, Agent or Firm:
YOO, Dong Il (KR)
Download PDF: