Verily Life Sciences LLC

Victor Criswell

Peter Massaro

Tiantian Zha

Nigel Snoad

Eric Peeters

Roman L Devengenzo

Peter H Smith

Benjamin David Krasnow

Robert Sobecki

Charles Behling

Martin Sheridan

Dilip Krishnan

Mark Desnoyer

Yaniv Ovadia

Josh Livni

Yi Han

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.

Predictive classification of insects

Embodiments of the present disclosure can provide an automated mass rearing system for insect larvae. The automated mass rearing system can facilitate hatching, feeding, monitoring the growth and emergence of insect larvae and pupae. In some embodiments, the automated mass rearing system can include a production unit, a transportation unit, a storage unit, a dispensing unit, and a monitoring unit. In some embodiments, this automated mass rearing system can facilitate mass mosquito growth from egg hatching all the way through to full adults or certain stages in between such as the larvae rearing process (i.e., from larvae to pupae) with little or no human intervention. By automating the rearing and transportation of insect eggs, larvae, and pupae, deaths or developmental issues can be minimized. Various techniques and apparatuses are used in this automation that causes minimal disturbance to the insects during development, and thereby maximizing survival rate and fitness of the insects.

Automated mass rearing system for insect larvae

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.

Automated flying insect separator

An insect sortation system includes a first puff system in a puff-back region for moving insects toward an inlet of an insect pathway and a second puff system in a puff-forward region for moving insects toward an outlet of the pathway. The first puff system is configured to singulate the insects. The second puff system is configured to sort the insects.

Insect singulation and classification

An insect sortation system can track movement of insects along a predefined pathway. The insect sortation system includes a puff-back system for moving insects toward an inlet of the pathway and a puff-forward system for moving insects toward an outlet of the pathway. An overhead imaging system captures images of the insects at one or more locations along the pathway. Once imaged, the insect may 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. Once classified, the insects can be directed to various chambers for subsequent processing.

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.

In one aspect, a singulation chamber apparatus defines a volume having a receiving end and an opposing end. The receiving end may be couplable to an insect chamber for a plurality of ambulatory insects and define an opening to receive the plurality of ambulatory insects from the insect chamber. A surface of the chamber is ramped to provide a pathway between the receiving end and the opposing end such that the opposing end is elevated with respect to the first end via the ramped surface. The pathway has a width sized to accommodate a single-file line of the plurality of ambulatory insects traversing the ramped surface.

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Mountain View, CA, United States of America

Victor Criswell