US 12,221,236 B2
Smart surveillance system and smart surveillance control method using UAV
Joongheon Kim, Seoul (KR); and Haemin Lee, Seoul (KR)
Assigned to Korea University Research and Business Foundation, Seoul (KR)
Filed by Korea University Research and Business Foundation, Seoul (KR)
Filed on Oct. 31, 2022, as Appl. No. 17/977,081.
Claims priority of application No. 10-2021-0164993 (KR), filed on Nov. 26, 2021.
Prior Publication US 2023/0169838 A1, Jun. 1, 2023
Int. Cl. G06N 3/08 (2023.01); B64U 10/13 (2023.01); G08B 13/196 (2006.01); G16Y 20/10 (2020.01); G16Y 40/10 (2020.01); G16Y 40/50 (2020.01); B64U 101/31 (2023.01)
CPC B64U 10/13 (2023.01) [G06N 3/08 (2013.01); G08B 13/1966 (2013.01); G16Y 20/10 (2020.01); G16Y 40/10 (2020.01); G16Y 40/50 (2020.01); B64U 2101/31 (2023.01)] 8 Claims
OG exemplary drawing
 
1. A smart surveillance system comprising:
one unmanned aerial vehicle (UAV) comprising a controller provided with a deep learning auction training network;
a plurality of Internet of Things (IoT) terminals distributed in a surveillance area; and
a plurality of base stations distributed in the surveillance area,
wherein the UAV selects any IoT terminal from among the plurality of IoT terminals using deep learning auction training, receives surveillance data from the selected IoT terminal, and transmits the surveillance data to a data center through the Internet and any one base station among the plurality of base stations, and
wherein the controller starts smart surveillance control while wirelessly transmitting a surveillance data request signal to a plurality of Internet of Things (IoT) terminals distributed in the surveillance area;
receives a quotation weight (bi) from each of the plurality of IoT terminals;
inputs the quotation weight (bi) to the deep learning auction training network provided therein and performs deep learning auction training;
sets a movement route to an IoT terminal having a final weight p detected by performing the deep learning auction training; and
receives surveillance data from the IoT terminal having the final weight p as surveillance information and transmits the surveillance information to the data center through the plurality of base stations and the Internet.