Abstract: Systems, methods, and computer-executable instructions for identifying a convergence of objects includes receiving, at a device, a first beacon from a beacon transmitter located within a first location. A first location is identified based on the first beacon. A second beacon is received that is transmitted from a wearable worn by an object. The object associated with the second beacon is identified. A convergence time of the object and device is determined. A camera associated with the first location is determined. Video data associated with the camera is retrieved. Video of the first location at the convergence time is retrieved from the video data.

Abstract: Systems, methods, and computer-executable instructions for identifying a convergence of objects includes receiving, at a device, a first beacon from a beacon transmitter located within a first location. A first location is identified based on the first beacon. A second beacon is received that is transmitted from a wearable worn by a patient. The patient associated with the second beacon is identified. A convergence time and a previous convergence time of the patient and device are determined. An out of compliance event based on the current convergence time and the previous convergence time is determined. An alert is generated based on the out of compliance event. The alert includes the first location.

Abstract: Systems, methods, and computer-executable instructions for providing privacy to relative location data includes receiving a request for a location of an object. Privacy settings associated with the object are retrieved. A position of the object within a construct of a physical space is determined. An area within the construct of the physical space based on the position is determined. A location value of the object based on the area and the privacy settings is determined. The location value in response to the request for the location of the object is returned.

Abstract: Systems, methods, and computer-executable instructions for providing privacy to proximity data. A beacon identifier associated with a first object is received. Privacy data associated with the beacon identifier is determined. A filter determination of the beacon identifier based on the first privacy data is determined. An indication to filter the beacon identifier is provided. The beacon identifier is filtered, such that a running application is never aware of the detected beacon identifier.

Abstract: Systems, methods, and computer-executable instructions for determining a temperature of an individual including receiving, from a first camera, first image frames. The individual is detected in the first image frames. Facial features of the individual are detected from the first image frames. A brain thermal tunnel location is determined from the facial features of the individual. A second camera provides second image frames that include thermal data. The brain thermal tunnel locations from the first image frames are mapped to the second image frames. For each second image frame, a temperature of the individual is determined based on the mapped brain thermal tunnel location. A combined temperature is determined based on the temperatures determined from the second image frames.

Abstract: Systems, methods, and computer-executable instructions for contact tracing including receiving a first beacon identifier associated with a first person and a second beacon identifier associated with a second person over a time period from a plurality of readers. A location of the first person and the second person is determined. Health data associated with the first person is received. The first person is determined to be sick and a sick period of time is determined. Two or more people, including the second person, are determined to have been within a proximity of the first person during the sick period of time. A list of the two or more people is generated.

Abstract: A method of deploying a new operating system on a plurality of data processors. Hardware and driver information is determined from the data processors. A general disk image for all of the data processors is prepared in a preinstallation environment. Hardware and software components for a specific target data processor are added to or associated with the preinstallation environment to create an installation operating system for that data processor. The components of the installation operating system are installed on the target data processor, thereby replacing the data processor's operating system with the new operating system of the preinstallation environment.

Abstract: A method of deploying a new operating system on a plurality of data processors. Hardware and driver information is determined from the data processors. A general disk image for all of the data processors is prepared in a preinstallation environment. Hardware and software components for a specific target data processor are added to or associated with the preinstallation environment to create an installation operating system for that data processor. The components of the installation operating system are installed on the target data processor, thereby replacing the data processor's operating system with the new operating system of the preinstallation environment.