US 12,167,725 B2
Mosquito monitoring and counting system
Anastasiia Romanivna Romanova, Kherson (UA); and Roman Anatolievich Romanov, Kyiv (UA)
Appl. No. 17/613,935
Filed by Anastasiia Romanivna Romanova, Kherson (UA); and Roman Anatolievich Romanov, Kyiv (UA)
PCT Filed May 18, 2020, PCT No. PCT/IB2020/054690
§ 371(c)(1), (2) Date Nov. 23, 2021,
PCT Pub. No. WO2020/240335, PCT Pub. Date Dec. 3, 2020.
Claims priority of application No. a 2019 05652 (UA), filed on May 24, 2019.
Prior Publication US 2022/0217962 A1, Jul. 14, 2022
Int. Cl. A01M 1/02 (2006.01); A01M 1/06 (2006.01); A01M 1/10 (2006.01)
CPC A01M 1/026 (2013.01) [A01M 1/023 (2013.01); A01M 1/06 (2013.01); A01M 1/106 (2013.01)] 9 Claims
OG exemplary drawing
 
1. A mosquito monitoring and counting system, comprising:
a housing comprising a frame, a bottom base attached to the frame, a top cap attached to the frame, at least four panels, and at least four sides extending between said top cap and said bottom base, each of said at least four sides being attached to the frame by being set within a respective first opening of a first set of first openings defined by said frame;
said top cap, bottom base, at least four panels, and at least four sides define an interior portion;
each of said at least four panels of said housing disposed proximate to and beneath said top cap and above said at least four sides, each of said panels being attached to the frame by being set within a respective second opening of a second set of second openings defined by the frame, each of said panels providing a plurality of mesh openings through which insects travel into said interior portion;
a high-speed computer vision camera installed in a trap diffuser within said interior portion of said housing, said trap diffuser comprising a top end and a bottom end, the top end being wider than and longitudinally opposite from the bottom end;
a fan installed within said interior portion and configured to regulate an air stream through said trap diffuser;
an antenna attached to said housing;
a counting sensor installed within said interior portion and configured to detect insects that enter the air stream of the trap diffuser;
a GSM or WIFI module installed within said interior portion; and
a central processing unit installed within said interior portion, based on artificial intelligence through neural networks, is configured to:
process a data array generated by the counting sensor and the high-speed computer vision camera,
count and classify insects into species and subspecies based on processing the data array,
transmit the processed data array comprising the count and the classification of the species and the subspecies of the insects via the GSM or WIFI module using the antenna to a server, and
graphically integrate the processed data array with a mapping service, wherein the processed data array graphically integrated with the mapping service is stored in a cloud storage for access by the users of an application.