Abstract: Machine learning-based methods are disclosed to intelligently generate dynamic workflows, such as dynamic call lists and priority levels of alarm notifications. To generate a dynamic call list based on an alarm notification, the system may identify electronic devices present in an area using emitted passive electromagnetic signals (e.g., RF signals such as Bluetooth, WiFi, and/or cellular). The identification of the electronic devices may be associated with known and/or unknown individuals on the premises. The RF signal data may be processed using at least one ML model to determine the severity of the alarm. Based on the processed data, the system may assign a priority level to the alarm, where the priority level may range from level 0 (no action) to level 4 (dispatch law enforcement immediately). The disclosed methods use trained machine learning models to generate a dynamic call list and identify false alarms with increased accuracy.

Abstract: The present technology is generally directed to control systems for centralized appliance hubs and related devices, systems, and methods. In some embodiments, an appliance hub includes an onboard controller and one or more functional components. The onboard controller can be operably coupled to individual ones of the functional components, and can receive instructions for controlling individual ones of the functional components. In some embodiments, a plurality of the appliance hubs are mounted to a ceiling or otherwise arranged within an enclosure to form an appliance hub system. In some embodiments, the onboard controllers of multiple appliance hubs can be communicatively coupled to a system controller that can send instructions to the onboard controllers of one or more of the appliance hubs to individually control operation of the onboard lighting, HVAC, sensors, and/or other functional components carried by the appliance hubs.

Abstract: The present technology is generally directed to centralized appliance hubs with enhanced acoustic performance and related methods. In at least some embodiments, an appliance hub includes a frame, one or more panels attached to the first side of the frame, and an insulating layer attached to the second side of the frame opposite the first side. The insulating layer can be tuned or otherwise configured to absorb and/or attenuate sound within a first frequency range, and all or a subset of the one or more panels can be configured to absorb and/or attenuate sound within a second frequency range different than the frequency range. In some embodiments, at least one of the panels may be made of a perforated metal having perforations arranged in a manner to attenuate sound within the predetermined frequency range.

Abstract: The present technology is generally directed to appliance hubs and related systems and methods. In some embodiments, an appliance hub includes a frame assembly and one or more panel assemblies mounted thereto. Individual panels of the panel assemblies can be removably coupled to the frame. At least some of the panels can include one or more functional components, such as one lighting elements, acoustic controls, speakers, vents, mechanical/electrical/plumbing (“MEP”) components, and/or other devices. Accordingly, the frame assembly can be used to manufacture many differently configured appliance hubs with different arrangements of panels and devices positioned thereon. Further, the ability to remove or partially remove individual panels of the appliance hubs after the appliance hub is installed in a ceiling or other upper portion of a room allows for maintenance of existing devices of the appliance hub and/or replacement of devices or the panels themselves.

Abstract: Enabling a computer to automatically enter information into a unified database from heterogenous documents. An image file is received. The image file is displayed in a first area of a window rendered on a tangible display device. The fields for data entry are displayed in a second area of the window. Optical character recognition is performed on the image file. At least one parameter of text is identified in the image file. The at least one parameter of the text is compared to at least one of a plurality of stored parameters. The text is sorted according to the at least one of the plurality of stored parameters into a plurality of categories, wherein sorted text is formed. The fields are auto-populated and displayed in the second area of the window based on the sorted text.

Abstract: Enabling a computer to automatically enter information into a unified database from heterogenous documents. An image file is received. The image file is displayed in a first area of a window rendered on a tangible display device. The fields for data entry are displayed in a second area of the window. Optical character recognition is performed on the image file. At least one parameter of text is identified in the image file. The at least one parameter of the text is compared to at least one of a plurality of stored parameters. The text is sorted according to the at least one of the plurality of stored parameters into a plurality of categories, wherein sorted text is formed. The fields are auto-populated and displayed in the second area of the window based on the sorted text.

Abstract: A filter for trapping solids and methods for using the same. The filter can include at least two support members that can be oriented in a first direction, and at least two support members that can be oriented in a second direction. The second direction can be generally orthogonal to the first direction. A housing can encase and surround the support members, and can thereby form an opening therethrough. The housing can include one or more apertures providing a flow path from within the housing to outside the housing. A first end can permit fluid flow into the housing, and a second end can at least partially restrict fluid flow therethrough.

Abstract: A filter for trapping solids and methods for using the same. The filter can include at least two support members that can be oriented in a first direction, and at least two support members that can be oriented in a second direction. The second direction can be generally orthogonal to the first direction. A housing can encase and surround the support members, and can thereby form an opening therethrough. The housing can include one or more apertures providing a flow path from within the housing to outside the housing. A first end can permit fluid flow into the housing, and a second end can at least partially restrict fluid flow therethrough.

Abstract: A multi-institution scheduling system comprises an administration component adapted for establishing parameters for a first program in the multi-institution scheduling system, the parameters including at least one other program that can share shifts with the first program. The multi-institution scheduling system comprises a scheduling component adapted for creating a shift for the first program, including designating whether the at least one other program has access to the shift for scheduling.

Abstract: A method and computer input device are provided for controlling a displayed object. Using the method and computer input device, an indication of the amount of rotation and translation of the computer input device is received. A decision is then made as to whether to use the amount of rotation of the computer input device to control a displayed object based on the amount of translation of the computer input device.

Abstract: A computer input device and computer system are provided that determine a height of the computer input device over a surface. Based on the height, an audio signal generator generates an audio driver signal. The audio driver signal is applied to an audio signal generate that generates an audio signal based on the audio driver signal.

Abstract: A computer input device includes a camera for capturing an image of a pattern on a surface. A processor in the computer input device determines equations for lines from the image of the pattern, applies the line equations to a transform to form transformed line equations, and uses the transformed line equations to determine the height of the computer input device above the surface.

Abstract: In an input device, a camera captures images of a surface. Using the images, the input device determines its orientation. Data representing the orientation of the input device and data representing the captured image are communicated from the input device to a host computing device.

Abstract: A pad for a computer input device includes a top surface over which the input device is slid and a bottom surface, opposite the top surface, for contacting a support surface. The bottom surface having a raised pivot portion allowing movement of the pad about the pivot portion.