Abstract: One or more first device fingerprints are obtained from one or more first wireless connections of a connected device in one or more first wireless networks. One or more second device fingerprints are obtained from one or more second wireless connections of the connected device in one or more second wireless networks. In response to finding a match between the one or more first device fingerprints and the one or more second device fingerprints, an enhanced service is entitled to the connected device.

Abstract: Systems, methods, and non-transitory media are provided for low-power visual tracking systems. An example method can include receiving one or more images captured by each image sensor system from a set of image sensor systems on a first device, the one or more images capturing a set of patterns on a second device, wherein the first device has lower power requirements than the second device, the set of patterns having a predetermined configuration on the second device; determining, from the one or more images captured by each image sensor system, a set of pixels corresponding to the set of patterns on the second device; determining, based on the set of pixels corresponding to the set of patterns, a location and relative pose in space of each pattern; and determining, based on the location and relative pose of each pattern, a pose of the first device relative to the second device.

Abstract: In some aspects, a head mounted device may include an eye portion configured to face an eye of a user wearing the head mounted device, where the eye portion includes a display. The head mounted device may include at least one light emitter configured to emit light for illuminating at least a portion of a nose of the user. The head mounted device may include at least one image sensor configured to capture an image of at least a portion of the nose of the user for use in determining a shift or a rotation of the head mounted device relative to the user. Numerous other aspects are provided.

Abstract: There is provided a method comprising receiving a domain name system (DNS) query from a client computing device, decrypting the DNS query by a DNS resolver device, and requesting reputation information related to the FQDN from an agent device of the router apparatus. If a matching FQDN is not found in a local database, the DNS query is allowed to proceed from the DNS resolver device to a cloud DNS resolver, the IP and MAC address of the client computing device are logged and mapped to the local database, the reputation information related to the FQDN is requested from a cloud FQDN server, and if the reputation information indicates that the FQDN should be blocked, the local database is updated with the reputation information and further queries to the FQDN are blocked.

Abstract: A fluid delivery device is disclosed. The fluid delivery device includes a fluid flow meter. The fluid flow meter is enclosed in an insulated box. An intake is provided on the insulated box for providing a forced cooling gas flow over the fluid flow meter. An exhaust is provided on the insulated box from which the forced cooling gas exits the insulated box.

Abstract: An image sensor including a planar sensor array, a lens configured to form an optical image on the planar sensor array and characterized by a locus of focal points on a curved surface, and a cover glass with multiple thickness levels or multiple cover glasses of different sizes. The one or more cover glasses are configured to shift the locus of focal points for large field angles, such that there are multiple intersections between the planar sensor array and the locus of focal points for a large FOV, and thus multiple zones with best focus on the planar sensor array.

Abstract: There is provided a method comprising receiving a domain name system (DNS) query from a client computing device, decrypting the DNS query by a DNS resolver device, and requesting reputation information related to the FQDN from an agent device of the router apparatus. If a matching FQDN is not found in a local database, the DNS query is allowed to proceed from the DNS resolver device to a cloud DNS resolver, the IP and MAC address of the client computing device are logged and mapped to the local database, the reputation information related to the FQDN is requested from a cloud FQDN server, and if the reputation information indicates that the FQDN should be blocked, the local database is updated with the reputation information and further queries to the FQDN are blocked.

Abstract: An image sensor device includes two or more image sensor arrays (or two or more regions of an image sensor array) and a low-power processor in a same package for capturing two or more images of an object, such as an eye of a user, using light in two or more wavelength bands, such as visible band, near-infrared band, and short-wave infrared band. The image sensor device includes one or more lens assemblies and/or a beam splitter for forming an image of the object on each of the two or more image sensor arrays. The image sensor device also includes one or more filters configured to select light from multiple wavelength bands for imaging by the respective image sensor arrays.

Abstract: There is provided a method comprising receiving a domain name system (DNS) query from a client computing device, decrypting the DNS query by a DNS resolver device, and requesting reputation information related to the FQDN from an agent device of the router apparatus. If a matching FQDN is not found in a local database, the DNS query is allowed to proceed from the DNS resolver device to a cloud DNS resolver, the IP and MAC address of the client computing device are logged and mapped to the local database, the reputation information related to the FQDN is requested from a cloud FQDN server, and if the reputation information indicates that the FQDN should be blocked, the local database is updated with the reputation information and further queries to the FQDN are blocked.

Abstract: Various aspects of the present disclosure generally relate to a sensor module. In some aspects, a sensor module may include a collar configured to be attached to a camera module for a user device. The collar may include a first opening that is configured to align with an aperture of a camera of the camera module, and a second opening. The sensor module may include a sensor embedded in the collar. The sensor may be aligned with the second opening of the collar. Numerous other aspects are provided.

Abstract: Various aspects of the present disclosure generally relate to optical character detection. In some aspects, a user device may receive, from a vision sensor, a first image that is associated with a first optical character image. The user device may determine, using an image processing model, that the first image depicts the first optical character image. The user device may cause, based at least in part on determining that the first image depicts the first optical character image, a camera to capture a second image that is associated with a second optical character image. The user device may perform an action associated with the second image. Numerous other aspects are provided.

Abstract: In some aspects, a head mounted device may include an eye portion configured to face an eye of a user wearing the head mounted device, where the eye portion includes a display. The head mounted device may include at least one light emitter configured to emit light for illuminating at least a portion of a nose of the user. The head mounted device may include at least one image sensor configured to capture an image of at least a portion of the nose of the user for use in determining a shift or a rotation of the head mounted device relative to the user. Numerous other aspects are provided.

Abstract: An image sensor device includes two or more image sensor arrays (or two or more regions of an image sensor array) and a low-power processor in a same package for capturing two or more images of an object, such as an eye of a user, using light in two or more wavelength bands, such as visible band, near-infrared band, and short-wave infrared band. The image sensor device includes one or more lens assemblies and/or a beam splitter for forming an image of the object on each of the two or more image sensor arrays. The image sensor device also includes one or more filters configured to select light from multiple wavelength bands for imaging by the respective image sensor arrays.

Abstract: In one example, an image sensor module comprises one or more covers having at least a first opening and a second opening, a first lens mounted in the first opening and having a first field of view (FOV) centered at a first axis having a first orientation, a second lens mounted in the second opening and having a second FOV centered at a second axis having a second orientation different from the first orientation, a first image sensor housed within the one or more covers and configured to detect light via the first lens, and a second image sensor housed within the one or more covers and configured to detect light via the second lens. The first image sensor and the second image sensor are configured to provide, based on the detected light, image data of a combined FOV larger than each of the first FOV and the second FOV.

Abstract: An image sensor including a planar sensor array, a lens configured to form an optical image on the planar sensor array and characterized by a locus of focal points on a curved surface, and a cover glass with multiple thickness levels or multiple cover glasses of different sizes. The one or more cover glasses are configured to shift the locus of focal points for large field angles, such that there are multiple intersections between the planar sensor array and the locus of focal points for a large FOV, and thus multiple zones with best focus on the planar sensor array.

Abstract: Various aspects of the present disclosure generally relate to a sensor module. In some aspects, a sensor module may include a collar configured to be attached to a camera module for a user device. The collar may include a first opening that is configured to align with an aperture of a camera of the camera module, and a second opening. The sensor module may include a sensor embedded in the collar. The sensor may be aligned with the second opening of the collar. Numerous other aspects are provided.

Abstract: Systems, methods, and non-transitory media are provided for low-power visual tracking systems. An example method can include receiving one or more images captured by each image sensor system from a set of image sensor systems on a first device, the one or more images capturing a set of patterns on a second device, wherein the first device has lower power requirements than the second device, the set of patterns having a predetermined configuration on the second device; determining, from the one or more images captured by each image sensor system, a set of pixels corresponding to the set of patterns on the second device; determining, based on the set of pixels corresponding to the set of patterns, a location and relative pose in space of each pattern; and determining, based on the location and relative pose of each pattern, a pose of the first device relative to the second device.

Abstract: Various aspects of the present disclosure generally relate to a sensor module. In some aspects, a sensor module may include a collar configured to be attached to a camera module for a user device. The collar may include a first opening that is configured to align with an aperture of a camera of the camera module, and a second opening. The sensor module may include a sensor embedded in the collar. The sensor may be aligned with the second opening of the collar. Numerous other aspects are provided.

Abstract: Technologies for processing a three-dimensional (3D) underwater scene is disclosed. A computing device receives a data set representative of an underwater environment corresponding to sonar data generated by a sonar transducer assembly and receiving parameters. The data set includes 3D volumetric points representative of at least one 3D volumetric data set at one or more time points. The computing device applies segmentation modes on the data set, in which each segmentation mode generates a processed subset of the 3D volumetric points. Each processed subset includes one or more 3D volumetric objects. The computing device classifies one or more 3D volumetric objects based on a combination of the plurality of processed subsets.

Abstract: Various aspects of the present disclosure generally relate to optical character detection. In some aspects, a user device may receive, from a vision sensor, a first image that is associated with a first optical character image. The user device may determine, using an image processing model, that the first image depicts the first optical character image. The user device may cause, based at least in part on determining that the first image depicts the first optical character image, a camera to capture a second image that is associated with a second optical character image. The user device may perform an action associated with the second image. Numerous other aspects are provided.