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.

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.

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.

Abstract: 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.

Abstract: The disclosure relates to systems and methods for dynamic release planning for insect release. One example method includes receiving information indicating a population of wild insects within a geographic region; determining a number of wild insects per unit area within the geographic region; placing, based on the number of wild insects per unit area, one or more insect release points based on the number of wild insects per unit area, each insect release point indicating a release of a predefined quantity of insects; and generating an insect release route through the geographic region, the insect release route passing through each insect release point.

Abstract: Insect storage and dispensing system are described. An example system may include a dispensing container including at least one wall defining an interior volume for retaining a plurality of adult insects. The system may also include a piston that extends through a first opening of the dispensing container so as to expose a top face of the piston to the interior volume. Longitudinal movement of the piston toward a second opening of the dispensing container may dispense a portion of the plurality of insects from the dispensing container when the plurality of insects is retained in the dispensing container.

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.

Abstract: One example method includes receiving information indicating a population of wild insects within a geographic region; determining a number of wild insects per unit area within the geographic region; placing, based on the number of wild insects per unit area, one or more insect release points based on the number of wild insects per unit area, each insect release point indicating a release of a predefined quantity of insects; and generating an insect release route through the geographic region, the insect release route passing through each insect release point.

Abstract: 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.

Abstract: Insect storage and dispensing system are described. An example system may include a dispensing container including at least one wall defining an interior volume for retaining a plurality of adult insects. The system may also include a piston that extends through a first opening of the dispensing container so as to expose a top face of the piston to the interior volume. Longitudinal movement of the piston toward a second opening of the dispensing container may dispense a portion of the plurality of insects from the dispensing container when the plurality of insects is retained in the dispensing container.

Abstract: 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.

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.

Abstract: Insects can be localized and classified using a predictive model. To begin, image data is obtained that corresponds to the insects. Using a predictive model, samples of the image data are evaluated to determine whether the image portions include an insect and, if so, into what category the insect should be classified (e.g., male/female, species A/species B, etc.).

Abstract: Aspects of the subject technology relate to systems and methods for processing voice input data. Voice input data is received from a computing. An intended task is determined based on the received voice input data. Contextual information related to the intended task is obtained. A plurality of services to be accessed at the computing device is determined based on the intended task and the obtained contextual information. Instructions associated with the plurality of services are provided for transmission to the computing device for execution at the computing device.

Abstract: A reformatted insect food product comprising a measured amount of a mixture of at least one nutrient source suitable for an aquatic organism formed into a dispensable unit, and a method of manufacturing a reformatted insect food product comprising: creating a mixture comprising at least one nutrient source suitable for an aquatic organism; separating out a pre-measured amount of the mixture; and forming a dispensable food unit using the measured amount of the mixture.

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.

Abstract: An emergence apparatus may include a container, a sensor, and a shutter. The sensor may be positioned proximate to an opening in the container to detect an adult insect entering or exiting the container. The sensor may also determine a sex of the adult insect. The shutter may also be positioned proximate to the opening to the container and may include an open position and a closed position to control access to the container in response to determining the sex of the adult insect or in response to determining a total number of adult insects of a particular sex within the container.

Abstract: 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.

Abstract: 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.

Abstract: Insect storage and dispensing system are described. An example system may include a dispensing container including at least one wall defining an interior volume for retaining a plurality of adult insects. The system may also include a piston that extends through a first opening of the dispensing container so as to expose a top face of the piston to the interior volume. Longitudinal movement of the piston toward a second opening of the dispensing container may dispense a portion of the plurality of insects from the dispensing container when the plurality of insects is retained in the dispensing container.