A system for insect surveillance and tracking

Patent metadata

Field	Value
Publication number	US-2021329902-A1
Application number	US-201816479634-A
Country	US
Kind code	A1
Filing date	Jan 26, 2018
Priority date	Jan 27, 2017
Publication date	Oct 28, 2021
Grant date	—

Abstract

A mosquito surveillance device includes one or more mosquito traps having a camera capable of taking images of mosquitos and transmitting the images electronically to a receiver. Suitable traps include an ovitrap, for example. Images may be transmitted from inside or outside the trap to a receiver using low bandwidth cellular phone networks. The images are processed and displayed using software forming mosquito data. The images may be analyzed and the number of live mosquitos identified, the number of dead mosquitos identified, the species of mosquitos identified, or mapped vector densities in real time identified preferably at high resolution.

First claim

1 . A mosquito surveillance device comprising:
one or more mosquito traps comprising a camera capable of taking images of mosquitos and transmitting the images electronically to a receiver.

2 . The method of claim 1 wherein the trap is an ovitrap.

3 . The method of claim 1 wherein the camera is a camera phone that is programmable.

4 . The method of claim 1 transmitting the images inside the trap to a receiver using low bandwidth cellular phone networks.

5 . The method of claim 4 wherein the receiver is a central server that is able to transmit the image to one or more users.

6 . The method of claim 1 wherein the images are analyzed and the number of mosquitos are identified.

7 . The method of claim 1 wherein one or more species of the mosquitos are identified.

8 . The method of claim 1 wherein the images are processed and displayed using software forming mosquito data.

9 . The method of claim 8 wherein the mosquito data is mapped vector densities in real time at high resolution.

10 . The method of claim 8 wherein the mosquito data is viewed by health systems or individuals.

11 . The method of claim 1 , wherein the images comprising dead mosquitos.

12 . The method of claim 8 wherein the software comprises vision algorithms.

13 . The method of claim 12 wherein the vision algorithms identities one or more species of the mosquitos.

14 . The method of claim 12 wherein the vision algorithms count the number of mosquitoes.

15 . The method of claim 14 wherein the species of mosquito consist of Culex species and Aedes/Anopheles

Assignees

• Univ Johns Hopkins

Inventors

• Acharya Soumyadipta
• Patterson William
• Glancey Margaret
• Radant Nicholas
• Chang Justin
• Ashman Kimberly

Classifications

• G06V40/10

  Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands · CPC title

• G06V20/52

  Surveillance or monitoring of activities, e.g. for recognising suspicious objects (recognising microscopic objects G06V20/69) · CPC title

• A01M1/026 Primary

  combined with devices for monitoring insect presence, e.g. termites (bait stations A01M1/2005; detecting other animals in a given area A01M31/002) · CPC title

• A01M1/00 Primary

  Stationary means for catching or killing insects · CPC title

• A01M1/106

  for flying insects · CPC title