Abstract: A method includes: accessing a floorplan representing the floorspace; and extracting from the floorplan a set of floorplan features representing areas of interest in the floorspace. The method also includes, calculating a set of target locations relative to the floorplan that, when occupied by the set of sensor blocks: locate the areas of interest in the floorspace within fields of view of the set sensor blocks; and yield a minimum overlap in fields of view of adjacent sensor blocks in the set of sensor blocks. The method further includes, for each sensor block in the sensor blocks installed over the floorspace: receiving, from the sensor block, an image of the floorspace; based on overlaps in the image with images from other sensor blocks in sensor blocks, estimating an installed location of the sensor block; and mapping the sensor block to a target location in the set of target locations.

Abstract: A system for repeatably mounting an image sensor to a grid ceiling comprising: a mounting member defining an upper face; a set of magnets fixed to the upper face and characterized by a height greater than a protrusion distance of the outer surface of a ceiling tile of the grid ceiling below a grid segment of the grid ceiling; a detachable registration feature transiently coupled to the mounting member, configured to align with the grid ceiling while the set of magnetics are magnetically coupled to the grid ceiling, configured to adhere to the grid ceiling while the set of magnets are magnetically coupled to the grid ceiling, and configured to detach from the upper face and remain adhered to the grid ceiling in response to vertical displacement of the mounting member away from the grid ceiling.

Abstract: One variation of a method for monitoring occupancy in a work area includes, at a sensor block: transitioning from an inactive state into an active state when an output of a motion sensor indicates motion in a work area; during a scan cycle in the active state, recording an image through an optical sensor at a time, detecting a set of humans in the image, detecting a second set of human effects in the image, predicting a second set of humans occupying but absent the work area based on the second set of human effects, and estimating a total occupancy in the work area at the time based on the set of humans and the second set of humans; and transmitting the total occupancy to a remote computer system for update of a scheduler for the work area.

Abstract: A method including, accessing an occupancy of the workspace. The method also includes, in response to the occupancy status indicating vacancy: at a first time, recording a first image and a second image of the workspace, the first image and the second image characterized by a first resolution; and executing an arrival detection model based on the first and second image. The method further includes, in response to detecting arrival at the workspace: at a third time, recording a third image of the workspace, the third image characterized by a second resolution greater than the first resolution; and executing an occupancy detection model based on the third image. The method additionally includes, in response to detecting occupancy of the workspace: updating the occupancy status to indicate occupancy; and transmitting the occupancy status to a remote scheduling system.

Abstract: A method includes: recording an image at a sensor block, the sensor block; detecting a set of objects in the image based on an object classification model; generating a feature vector for the image based on the set of objects; accessing a workstation template for the work area, the workstation template defining a set of default objects for each workstation in the work area; identifying a subset of objects comprising an intersection of the set of default objects and the set of objects; removing the subset of objects from the feature vector; accessing an occupancy template for the work area, the occupancy template defining a set of significant objects; classifying the workstation as occupied based on the feature vector and the set of significant objects; and rendering a representation of the workstation at a work area interface, the representation indicating occupancy of the workstation.

Abstract: One variation of a method for monitoring occupancy in a work area includes, at a sensor block: transitioning from an inactive state into an active state when an output of a motion sensor indicates motion in a work area; during a scan cycle in the active state, recording an image through an optical sensor at a time, detecting a set of humans in the image, detecting a second set of human effects in the image, predicting a second set of humans occupying but absent the work area based on the second set of human effects, and estimating a total occupancy in the work area at the time based on the set of humans and the second set of humans; and transmitting the total occupancy to a remote computer system for update of a scheduler for the work area.

Abstract: A method including, accessing an occupancy of the workspace. The method also includes, in response to the occupancy status indicating vacancy: at a first time, recording a first image and a second image of the workspace, the first image and the second image characterized by a first resolution; and executing an arrival detection model based on the first and second image. The method further includes, in response to detecting arrival at the workspace: at a third time, recording a third image of the workspace, the third image characterized by a second resolution greater than the first resolution; and executing an occupancy detection model based on the third image. The method additionally includes, in response to detecting occupancy of the workspace: updating the occupancy status to indicate occupancy; and transmitting the occupancy status to a remote scheduling system.

Abstract: A method including, accessing an occupancy of the workspace. The method also includes, in response to the occupancy status indicating vacancy: at a first time, recording a first image and a second image of the workspace, the first image and the second image characterized by a first resolution; and executing an arrival detection model based on the first and second image. The method further includes, in response to detecting arrival at the workspace: at a third time, recording a third image of the workspace, the third image characterized by a second resolution greater than the first resolution; and executing an occupancy detection model based on the third image. The method additionally includes, in response to detecting occupancy of the workspace: updating the occupancy status to indicate occupancy; and transmitting the occupancy status to a remote scheduling system.

Abstract: One variation of a method for monitoring occupancy in a work area includes, at a sensor block: transitioning from an inactive state into an active state when an output of a motion sensor indicates motion in a work area; during a scan cycle in the active state, recording an image through an optical sensor at a time, detecting a set of humans in the image, detecting a second set of human effects in the image, predicting a second set of humans occupying but absent the work area based on the second set of human effects, and estimating a total occupancy in the work area at the time based on the set of humans and the second set of humans; and transmitting the total occupancy to a remote computer system for update of a scheduler for the work area.

Abstract: One variation of a method for monitoring occupancy in a work area includes, at a sensor block: transitioning from an inactive state into an active state when an output of a motion sensor indicates motion in a work area; during a scan cycle in the active state, recording an image through an optical sensor at a time, detecting a set of humans in the image, detecting a second set of human effects in the image, predicting a second set of humans occupying but absent the work area based on the second set of human effects, and estimating a total occupancy in the work area at the time based on the set of humans and the second set of humans; and transmitting the total occupancy to a remote computer system for update of a scheduler for the work area.

Abstract: One variation of a method for monitoring occupancy in a work area includes, at a sensor block: transitioning from an inactive state into an active state when an output of a motion sensor indicates motion in a work area; during a scan cycle in the active state, recording an image through an optical sensor at a time, detecting a set of humans in the image, detecting a second set of human effects in the image, predicting a second set of humans occupying but absent the work area based on the second set of human effects, and estimating a total occupancy in the work area at the time based on the set of humans and the second set of humans; and transmitting the total occupancy to a remote computer system for update of a scheduler for the work area.

Abstract: One variation of a method for monitoring occupancy in a work area includes, at a sensor block: transitioning from an inactive state into an active state when an output of a motion sensor indicates motion in a work area; during a scan cycle in the active state, recording an image through an optical sensor at a time, detecting a set of humans in the image, detecting a second set of human effects in the image, predicting a second set of humans occupying but absent the work area based on the second set of human effects, and estimating a total occupancy in the work area at the time based on the set of humans and the second set of humans; and transmitting the total occupancy to a remote computer system for update of a scheduler for the work area.

Abstract: One variation of a method for monitoring occupancy in a work area includes, at a sensor block: transitioning from an inactive state into an active state when an output of a motion sensor indicates motion in a work area; during a scan cycle in the active state, recording an image through an optical sensor at a time, detecting a set of humans in the image, detecting a second set of human effects in the image, predicting a second set of humans occupying but absent the work area based on the second set of human effects, and estimating a total occupancy in the work area at the time based on the set of humans and the second set of humans; and transmitting the total occupancy to a remote computer system for update of a scheduler for the work area.

Abstract: A method includes: accessing a floorplan representing the floorspace; and extracting from the floorplan a set of floorplan features representing areas of interest in the floorspace. The method also includes, calculating a set of target locations relative to the floorplan that, when occupied by the set of sensor blocks: locate the areas of interest in the floorspace within fields of view of the set sensor blocks; and yield a minimum overlap in fields of view of adjacent sensor blocks in the set of sensor blocks. The method further includes, for each sensor block in the sensor blocks installed over the floorspace: receiving, from the sensor block, an image of the floorspace; based on overlaps in the image with images from other sensor blocks in sensor blocks, estimating an installed location of the sensor block; and mapping the sensor block to a target location in the set of target locations.

Abstract: One variation of a method for monitoring occupancy in a work area includes, at a sensor block: transitioning from an inactive state into an active state when an output of a motion sensor indicates motion in a work area; during a scan cycle in the active state, recording an image through an optical sensor at a time, detecting a set of humans in the image, detecting a second set of human effects in the image, predicting a second set of humans occupying but absent the work area based on the second set of human effects, and estimating a total occupancy in the work area at the time based on the set of humans and the second set of humans; and transmitting the total occupancy to a remote computer system for update of a scheduler for the work area.

Abstract: In various embodiments of the present invention data is transmitted in light emitted by a light source by generating a continuous-time data signal and generating, based thereon, a drive signal that provides power to the light source, thereby causing the light source to emit light; variations in the amplitude of the drive signal represent information in the continuous-time data signal. A change in average power delivered to the light source as a result of the variations in the amplitude of the drive signal is detected and power to the light source is adjusted to compensate.

Abstract: In various embodiments of the present invention data is transmitted in light emitted by a light source by generating a continuous-time data signal and generating, based thereon, a drive signal that provides power to the light source, thereby causing the light source to emit light; variations in the amplitude of the drive signal represent information in the continuous-time data signal. A change in average power delivered to the light source as a result of the variations in the amplitude of the drive signal is detected and power to the light source is adjusted to compensate.

Abstract: In various embodiments of the present invention data is transmitted in light emitted by a light source by generating a continuous-time data signal and generating, based thereon, a drive signal that provides power to the light source, thereby causing the light source to emit light; variations in the amplitude of the drive signal represent information in the continuous-time data signal. A change in average power delivered to the light source as a result of the variations in the amplitude of the drive signal is detected and power to the light source is adjusted to compensate.

Abstract: In one aspect, the present disclosure relates to a method for a method for hiding a camera preview feed of a mobile device application. The method may proceed by the mobile device application enabling an imaging sensor of the mobile device, where the software of the mobile device requires the mobile device application to display the camera preview feed when the imaging sensor is enabled. The method may continue by creating a camera preview surface for displaying the camera preview feed. The method may further continue by modifying the camera preview surface to be hidden from the mobile device user. The method may end by setting the camera preview feed to be displayed on the camera preview surface. In another aspect, the present disclosure further relates to modifying the camera preview surface by resizing the camera preview surface to be one pixel large.

Abstract: In one aspect, the present disclosure relates to a method for a method for hiding a camera preview feed of a mobile device application. The method may proceed by the mobile device application enabling an imaging sensor of the mobile device, where the software of the mobile device requires the mobile device application to display the camera preview feed when the imaging sensor is enabled. The method may continue by creating a camera preview surface for displaying the camera preview feed. The method may further continue by modifying the camera preview surface to be hidden from the mobile device user. The method may end by setting the camera preview feed to be displayed on the camera preview surface. In another aspect, the present disclosure further relates to modifying the camera preview surface by resizing the camera preview surface to be one pixel large.