Abstract: System and graphical user interface for managing communications between a remote terminal device operated by a remote pilot or other operator and an uncrewed aircraft. Specifically, the systems described herein can be used for secure and reliable generation and transmission of a flight path or route by a ground station located remote from an uncrewed aircraft. Using the generation and transmission schemes described herein, the flight path may be reliably transmitted from the ground station to the uncrewed aircraft and execution of operations corresponding to the generated flight path may be controlled by a ground-based pilot having a valid authentication data stored on a removable media.

Abstract: System and graphical user interface for managing communications between a remote terminal device operated by a remote pilot or other operator and an uncrewed aircraft. Specifically, the systems described herein can be used for secure and reliable generation and transmission of a flight path or route by a ground station located remote from an uncrewed aircraft. Using the generation and transmission schemes described herein, the flight path may be reliably transmitted from the ground station to the uncrewed aircraft and execution of operations corresponding to the generated flight path may be controlled by a ground-based pilot having a valid authentication data stored on a removable media.

Abstract: Implementations are described herein for leveraging digital media files retrieved and/or created by users to predict/determine topics of potential relevance to the users. In various implementations, digital media file(s) created and/or retrieved by a user with a client device may be applied as input across trained machine learning model(s), which in some cases are local to the client device, to generate output that indicates object(s) detected in the digital media file(s). Data indicative of the indicated object(s) may be provided to a remote computing system without providing the digital media file(s) themselves. In some implementations, information associated with the indicated object(s) may be retrieved and proactively output to the user. In some implementations, a frequency at which objects occur across a corpus of digital media files may be considered when determining a likelihood that a detected object is potentially relevant to a user.

Abstract: This application is directed to a speaker device having a rounded enclosure. The rounded enclosure includes two housing elements that are coupled to each other and have a substantially continuous transition. The rounded enclosure has a circular cross section defined by a first radius. A first housing element includes and extends past the circular cross section, and a second housing element has a second maximum radius that is smaller than the first radius. A speaker unit and a circuit board are arranged within the rounded enclosure. The circuit board is electrically coupled to the speaker unit. At least a portion of the first housing element includes perforations configured to enable transmission of sound generated by the speaker unit out of the speaker device. The second housing element has a power connector that is electrically coupled to the circuit board and is configured to receive power from an external power supply.

Abstract: Implementations are described herein for leveraging digital media files retrieved and/or created by users to predict/determine topics of potential relevance to the users. In various implementations, digital media file(s) created and/or retrieved by a user with a client device may be applied as input across trained machine learning model(s), which in some cases are local to the client device, to generate output that indicates object(s) detected in the digital media file(s). Data indicative of the indicated object(s) may be provided to a remote computing system without providing the digital media file(s) themselves. In some implementations, information associated with the indicated object(s) may be retrieved and proactively output to the user. In some implementations, a frequency at which objects occur across a corpus of digital media files may be considered when determining a likelihood that a detected object is potentially relevant to a user.

Abstract: Implementations are described herein for leveraging digital media files retrieved and/or created by users to predict/determine topics of potential relevance to the users. In various implementations, digital media file(s) created and/or retrieved by a user with a client device may be applied as input across trained machine learning model(s), which in some cases are local to the client device, to generate output that indicates object(s) detected in the digital media file(s). Data indicative of the indicated object(s) may be provided to a remote computing system without providing the digital media file(s) themselves. In some implementations, information associated with the indicated object(s) may be retrieved and proactively output to the user. In some implementations, a frequency at which objects occur across a corpus of digital media files may be considered when determining a likelihood that a detected object is potentially relevant to a user.

Abstract: This application is directed to a speaker device having a rounded enclosure. The rounded enclosure includes two housing elements that are coupled to each other and have a substantially continuous transition. The rounded enclosure has a circular cross section defined by a first radius. A first housing element includes and extends past the circular cross section, and a second housing element has a second maximum radius that is smaller than the first radius. A speaker unit and a circuit board are arranged within the rounded enclosure. The circuit board is electrically coupled to the speaker unit. At least a portion of the first housing element includes perforations configured to enable transmission of sound generated by the speaker unit out of the speaker device. The second housing element has a power connector that is electrically coupled to the circuit board and is configured to receive power from an external power supply.

Abstract: This application is directed to a speaker device having a rounded enclosure. The rounded enclosure includes two housing elements that are coupled to each other and have a substantially continuous transition. The rounded enclosure has a circular cross section defined by a first radius. A first housing element includes and extends past the circular cross section, and a second housing element has a second maximum radius that is smaller than the first radius. A speaker unit and a circuit board are arranged within the rounded enclosure. The circuit board is electrically coupled to the speaker unit. At least a portion of the first housing element includes perforations configured to enable transmission of sound generated by the speaker unit out of the speaker device. The second housing element has a power connector that is electrically coupled to the circuit board and is configured to receive power from an external power supply.

Abstract: Implementations are described herein for leveraging digital media files retrieved and/or created by users to predict/determine topics of potential relevance to the users. In various implementations, digital media file(s) created and/or retrieved by a user with a client device may be applied as input across trained machine learning model(s), which in some cases are local to the client device, to generate output that indicates object(s) detected in the digital media file(s). Data indicative of the indicated object(s) may be provided to a remote computing system without providing the digital media file(s) themselves. In some implementations, information associated with the indicated object(s) may be retrieved and proactively output to the user. In some implementations, a frequency at which objects occur across a corpus of digital media files may be considered when determining a likelihood that a detected object is potentially relevant to a user.

Abstract: Implementations are described herein for leveraging digital media files retrieved and/or created by users to predict/determine topics of potential relevance to the users. In various implementations, digital media file(s) created and/or retrieved by a user with a client device may be applied as input across trained machine learning model(s), which in some cases are local to the client device, to generate output that indicates object(s) detected in the digital media file(s). Data indicative of the indicated object(s) may be provided to a remote computing system without providing the digital media file(s) themselves. In some implementations, information associated with the indicated object(s) may be retrieved and proactively output to the user. In some implementations, a frequency at which objects occur across a corpus of digital media files may be considered when determining a likelihood that a detected object is potentially relevant to a user.

Abstract: Implementations are described herein for leveraging digital media files retrieved and/or created by users to predict/determine topics of potential relevance to the users. In various implementations, digital media file(s) created and/or retrieved by a user with a client device may be applied as input across trained machine learning model(s), which in some cases are local to the client device, to generate output that indicates object(s) detected in the digital media file(s). Data indicative of the indicated object(s) may be provided to a remote computing system without providing the digital media file(s) themselves. In some implementations, information associated with the indicated object(s) may be retrieved and proactively output to the user. In some implementations, a frequency at which objects occur across a corpus of digital media files may be considered when determining a likelihood that a detected object is potentially relevant to a user.

Abstract: This application is directed to a speaker device having a rounded enclosure. The rounded enclosure includes two housing elements that are coupled to each other and have a substantially continuous transition. The rounded enclosure has a circular cross section defined by a first radius. A first housing element includes and extends past the circular cross section, and a second housing element has a second maximum radius that is smaller than the first radius. A speaker unit and a circuit board are arranged within the rounded enclosure. The circuit board is electrically coupled to the speaker unit. At least a portion of the first housing element includes perforations configured to enable transmission of sound generated by the speaker unit out of the speaker device. The second housing element has a power connector that is electrically coupled to the circuit board and is configured to receive power from an external power supply.

Abstract: This application is directed to a compact voice-activated electronic device with speakers and electronic components and a dual waveguide/heatsink structure configured to direct sound from the speakers to the outside of the device and to dissipate to the outside of the device heat from the electronic components.

Abstract: In one embodiment, a camera includes an image sensor within a camera housing that converts light entering the camera housing through an optical filter into digital image data. The optical filter can have a variable opacity. A processor in communication with the image sensor identifies operation settings for the optical filter and adjusts an opacity level of the optical filter over an exposure period in accordance with the operation settings for the optical filter. In addition, the processor modifies values of the digital image data based at least on the operation settings for the optical filter.

Abstract: Example implementations may relate to accurate pallet insertion. An example system may include a forklifted configured with a base and a tine coupled to the base. The tine may include a first proximity sensor positioned on a first side of the tine and a second proximity sensor positioned on a second side of the tine. The system may also include a computing system configured to receive, from the first sensor and the second sensor, sensor data indicative of proximity of the tine relative to opposing surfaces of a pocket of a pallet and navigate the forklift relative to the pallet based on the sensor data.

Abstract: This application is directed to a compact voice-activated electronic device with speakers and electronic components and a dual waveguide/heatsink structure configured to direct sound from the speakers to the outside of the device and to dissipate to the outside of the device heat from the electronic components.

Abstract: In one embodiment, a camera includes an image sensor within a camera housing that converts light entering the camera housing through an optical filter into digital image data. The optical filter can have a variable opacity. A processor in communication with the image sensor identifies operation settings for the optical filter and adjusts an opacity level of the optical filter over an exposure period in accordance with the operation settings for the optical filter. In addition, the processor modifies values of the digital image data based at least on the operation settings for the optical filter.

Abstract: Example implementations may relate to accurate pallet insertion. An example system may include a forklifted configured with a base and a tine coupled to the base. The tine may include a first proximity sensor positioned on a first side of the tine and a second proximity sensor positioned on a second side of the tine. The system may also include a computing system configured to receive, from the first sensor and the second sensor, sensor data indicative of proximity of the tine relative to opposing surfaces of a pocket of a pallet and navigate the forklift relative to the pallet based on the sensor data.

Abstract: In one embodiment, a camera includes an image sensor within a camera housing that converts light entering the camera housing through an optical filter into digital image data. The optical filter can have a variable opacity. A processor in communication with the image sensor identifies operation settings for the optical filter and adjusts an opacity level of the optical filter over an exposure period in accordance with the operation settings for the optical filter. In addition, the processor modifies values of the digital image data based at least on the operation settings for the optical filter.

Abstract: In one embodiment, a camera includes an image sensor within a camera housing that converts light entering the camera housing through an optical filter into digital image data. The optical filter can have a variable opacity. A processor in communication with the image sensor identifies operation settings for the optical filter and adjusts an opacity level of the optical filter over an exposure period in accordance with the operation settings for the optical filter. In addition, the processor modifies values of the digital image data based at least on the operation settings for the optical filter.