公开(公告)号：US10278368B1

公开(公告)日：2019-05-07

申请号：US15285866

申请日：2016-10-05

Applicant: Verily Life Sciences LLC

Inventor： Eric Peeters ,  Peter Massaro ,  Tiantian Zha ,  Victor Criswell ,  Nigel Snoad ,  Peter Smith ,  Benjamin Krasnow

IPC: A01K29/00 ,  A01K67/033

Abstract: An insect separating apparatus may include a sensor positioned to detect one or more insects when present within a test chamber. For example, the sensor may emit signals into the test chamber and receive reflected signals indicative of Doppler shifts caused by movement of the one or more insects. Based on information from the sensor, a computing device may determine a characteristic of the one or more insects in the chamber, such as a wing beat frequency, sex, or other characteristic. The computing device may instruct different responses based on the characteristic determined, such as activating an air mover to divert detected mosquitoes out of the test chamber in response to the determined characteristics matching those of female mosquitoes, or deactivating or maintaining the air mover in an inactive condition in response to the determined characteristics matching those of male mosquitoes, for example, to allow passage through the chamber into a collection receptacle.

公开(公告)号：US20240330360A1

公开(公告)日：2024-10-03

申请号：US18740326

申请日：2024-06-11

Applicant: Verily Life Sciences LLC

Inventor： Mark Desnoyer ,  Victor Criswell ,  Josh Livni ,  Yaniv Ovadia ,  Peter Massaro ,  Nigel Snoad ,  Dilip Krishnan ,  Yi Han ,  Tiantian Zha

IPC: G06F16/55 ,  G06F18/24 ,  G06N3/045 ,  G06T1/00

CPC classification number: G06F16/55 ,  G06F18/24 ,  G06N3/045 ,  G06T1/0014

Abstract: Systems and methods for generating insect classifications using predictive models based on sequences of images are disclosed. An example system includes an imaging device configured to capture images of insects and a computing device in communication with the imaging device. The computing device is configured to instruct the imaging device to capture a sequence of images depicting at least a portion of an insect. The computing device is further configured to use a first predictive model to determine a first output corresponding to a first classification of a first image of the sequence of images, the first output including a confidence measure of the first classification. The computing device is further configured to generate classification information based at least in part on the first output.

公开(公告)号：US11793172B1

公开(公告)日：2023-10-24

申请号：US17657388

申请日：2022-03-31

Applicant: Verily Life Sciences LLC

Inventor： Eric Peeters ,  Peter Massaro ,  Tiantian Zha ,  Victor Criswell ,  Nigel Snoad ,  Peter Smith ,  Benjamin Krasnow

IPC: A01K29/00 ,  A01K67/033 ,  A01K1/03

CPC classification number: A01K29/005 ,  A01K1/031 ,  A01K67/033

Abstract: An insect separating apparatus may include a sensor positioned to detect one or more insects when present within a test chamber. For example, the sensor may emit signals into the test chamber and receive reflected signals indicative of Doppler shifts caused by movement of the one or more insects. Based on information from the sensor, a computing device may determine a characteristic of the one or more insects in the chamber, such as a wing beat frequency, sex, or other characteristic. The computing device may instruct different responses based on the characteristic determined, such as activating an air mover to divert detected mosquitos out of the test chamber in response to the determined characteristics matching those of female mosquitos, or deactivating or maintaining the air mover in an inactive condition in response to the determined characteristics matching those of male mosquitos, for example, to allow passage through the chamber into a collection receptacle.

公开(公告)号：US11849714B2

公开(公告)日：2023-12-26

申请号：US16752171

申请日：2020-01-24

Applicant: Verily Life Sciences LLC

Inventor： Scott Ritchie ,  Kyran M. Staunton ,  Wei Xiang ,  Yu Han ,  Nigel Snoad ,  Jianyi Liu ,  Jacob Crawford ,  Mark Desnoyer

IPC: A01M1/10 ,  A01M1/02 ,  A01M1/04 ,  A01M1/14 ,  A01M1/20

CPC classification number: A01M1/106 ,  A01M1/023 ,  A01M1/026 ,  A01M1/04 ,  A01M1/145 ,  A01M1/2016 ,  A01M2200/012

Abstract: An insect trapping system includes an enclosed container having an entrance hole formed in a vertical wall and an acoustic lure device located within the container. The enclosed container may be formed from a transparent material. The system may also include a support stand, formed from a dark-colored material, and used to support the container.

公开(公告)号：US20200349668A1

公开(公告)日：2020-11-05

申请号：US16859397

申请日：2020-04-27

Applicant: Verily Life Sciences LLC

Inventor： Mark Desnoyer ,  Victor Criswell ,  Josh Livni ,  Yaniv Ovadia ,  Peter Massaro ,  Nigel Snoad ,  Dilip Krishnan ,  Yi Han ,  Tiantian Zha

IPC: G06T1/00 ,  G06K9/62 ,  G06N3/04

Abstract: Insects can be classified into a category (e.g., sex category, species category, size category, etc.) using a variety of different classification approaches including, for example, an industrial vision classifier and/or a machine learning classifier. At least some classification approaches may be used in real-time to make real-time decisions and others can be used to validate earlier-made real-time decisions.

公开(公告)号：US20240065252A1

公开(公告)日：2024-02-29

申请号：US18388445

申请日：2023-11-09

Applicant: Verily Life Sciences LLC

Inventor： Scott Ritche ,  Kyran M. Staunton ,  Wei Xiang ,  Yu Han ,  Nigel Snoad ,  Jianyi Liu ,  Jacob Crawford ,  Mark Desnoyer

IPC: A01M1/10 ,  A01M1/02 ,  A01M1/04 ,  A01M1/14 ,  A01M1/20

CPC classification number: A01M1/106 ,  A01M1/023 ,  A01M1/026 ,  A01M1/04 ,  A01M1/145 ,  A01M1/2016 ,  A01M2200/012

Abstract: A system includes an acoustic lure and a sensor package disposed within an interior volume of an insect trapping container and a computing device in communication with the acoustic lure and the sensor package configured to instruct the acoustic lure to output an acoustic tone. The computer device is further configured to receive sensor data from the sensor package, the sensor data representative of insects within the interior volume. Responsive to receiving the sensor data, the computing device is configured to instruct an imaging device to capture image data representative of the insects within the interior volume or determine insect count data based on the sensor data. The computing device is configured to then transmit output data to a remote computing system, the output data including at least one of a first portion of the image data or a second portion of the insect count data.

公开(公告)号：US11291190B1

公开(公告)日：2022-04-05

申请号：US16360358

申请日：2019-03-21

Applicant: Verily Life Sciences LLC

Inventor： Eric Peeters ,  Peter Massaro ,  Tiantian Zha ,  Victor Criswell ,  Nigel Snoad ,  Peter Smith ,  Benjamin Krasnow

IPC: A01K29/00 ,  A01K67/033

Abstract: An insect separating apparatus may include a sensor positioned to detect one or more insects when present within a test chamber. For example, the sensor may emit signals into the test chamber and receive reflected signals indicative of Doppler shifts caused by movement of the one or more insects. Based on information from the sensor, a computing device may determine a characteristic of the one or more insects in the chamber, such as a wing beat frequency, sex, or other characteristic. The computing device may instruct different responses based on the characteristic determined, such as activating an air mover to divert detected mosquitos out of the test chamber in response to the determined characteristics matching those of female mosquitos, or deactivating or maintaining the air mover in an inactive condition in response to the determined characteristics matching those of male mosquitos, for example, to allow passage through the chamber into a collection receptacle.

公开(公告)号：US20180084772A1

公开(公告)日：2018-03-29

申请号：US15697600

申请日：2017-09-07

Applicant: Verily Life Sciences LLC

Inventor： Eric Peeters ,  Timothy Prachar ,  Peter Massaro ,  Yi Han ,  Nigel Snoad

IPC: A01M1/02 ,  A01M1/10 ,  A01M1/14

CPC classification number: A01M1/026 ,  A01M1/106 ,  A01M1/14 ,  H04L67/12 ,  Y02A50/371

Abstract: Systems and methods can be provided to monitor insects (e.g., mosquitoes) in the field and gather data to ground truth one or more sensors or machine learning classification algorithms for classifying insects. A trap with various sensor capabilities can capture various insects and data pertaining to the captured insects. Some embodiments may enable offline identification of information by an entomologist or other individuals and use the identification information to ground-truth the one or more sensors. Using the trap with the various sensor capabilities increases the availability and diversity of training data for machine learning classification algorithms on the primary sensor.

公开(公告)号：US20240281466A1

公开(公告)日：2024-08-22

申请号：US18651983

申请日：2024-05-01

Applicant: Verily Life Sciences LLC

Inventor： Mark Desnoyer ,  Victor Criswell ,  Josh Livni ,  Yaniv Ovadia ,  Peter Massaro ,  Nigel Snoad ,  Dilip Krishnan ,  Yi Han ,  Tiantian Zha

IPC: G06F16/55 ,  G06F18/24 ,  G06N3/045 ,  G06T1/00

CPC classification number: G06F16/55 ,  G06F18/24 ,  G06N3/045 ,  G06T1/0014

Abstract: An insect sortation system is disclosed. The insect sortation system includes a pathway having a first end and a second end; a first outlet extending from the pathway adjacent to the second end; a second outlet extending from the pathway adjacent to the second end; a detector disposed adjacent to the pathway and configured to detect one or more characteristics of mosquitos passing by the detector; a shutter disposed within the pathway between the detector and the second end of the pathway; and one or more sortation devices configured to direct each mosquito of the mosquitos to at least one of the first outlet or the second outlet after passing by the detector.

公开(公告)号：US12038969B2

公开(公告)日：2024-07-16

申请号：US16859397

申请日：2020-04-27

Applicant: Verily Life Sciences LLC

Inventor： Mark Desnoyer ,  Victor Criswell ,  Josh Livni ,  Yaniv Ovadia ,  Peter Massaro ,  Nigel Snoad ,  Dilip Krishnan ,  Yi Han ,  Tiantian Zha

IPC: G06F16/55 ,  G06F18/24 ,  G06N3/045 ,  G06T1/00

CPC classification number: G06F16/55 ,  G06F18/24 ,  G06N3/045 ,  G06T1/0014

Abstract: Insects can be classified into a category (e.g., sex category, species category, size category, etc.) using a variety of different classification approaches including, for example, an industrial vision classifier and/or a machine learning classifier. At least some classification approaches may be used in real-time to make real-time decisions and others can be used to validate earlier-made real-time decisions.