Abstract:
Each of a plurality of assets within a building are configured to access a cellular network in order to ascertain its specific location, to perform self-diagnostics on itself, and to transmit an assistance request when the self-diagnostics indicates a potential problem. The assistance request may include the specific location of the asset and an indication of the potential problem. A server is operably couplable to the cellular network and is configured to receive the assistance requests from the assets, formulate a service request for responding to at least some of the received assistance requests, assign each of the service requests to a corresponding one of one or more automated asset maintenance assistants, and transmit each of the service requests to the assigned automated asset maintenance assistant instructing the assigned automated asset maintenance assistant to respond to the corresponding assistance request.
Abstract:
A method includes receiving vehicle data for a plurality of vehicles in a parking facility over time, the vehicle data including a time t1 indicating when each of the vehicles leaves its corresponding parking spot in the parking facility, and a time t2 indicating when each of the plurality of vehicles reaches an exit of the parking facility. An egress time is determined for each of the plurality of vehicles based at least in part on the corresponding times t1 and t2. A timestamp is assigned to each of the egress times, resulting in timestamped egress times. A current egress time of the parking facility is estimated based at least in part on the timestamped egress times. An action recommendation is based at least in part on the current egress time of the parking facility and is outputted for subsequent viewing by the driver of the particular vehicle.
Abstract:
A method includes receiving vehicle data for a plurality of vehicles in a parking facility over time, the vehicle data including a time t1 indicating when each of the vehicles leaves its corresponding parking spot in the parking facility, and a time t2 indicating when each of the plurality of vehicles reaches an exit of the parking facility. An egress time is determined for each of the plurality of vehicles based at least in part on the corresponding times t1 and t2. A timestamp is assigned to each of the egress times, resulting in timestamped egress times. A current egress time of the parking facility is estimated based at least in part on the timestamped egress times. An action recommendation is based at least in part on the current egress time of the parking facility and is outputted for subsequent viewing by the driver of the particular vehicle.
Abstract:
A system and method for developing and maintaining temperature-compensated altitude information are disclosed. One method includes receiving a message including an outside air temperature value for a prospective geographic position of a vehicle, and an altitude value and a barometric corrected altitude value for a current geographic position of the vehicle. The method determines if the outside air temperature value for the prospective geographic position of the vehicle is not equal to a current outside air temperature value, and updates the outside air temperature value for the prospective geographic position of the vehicle with the current outside air temperature value if the outside air temperature value for the prospective geographic position of the vehicle is not equal to the current outside air temperature value.
Abstract:
Provided are systems and methods for controlling a search and rescue (SAR) light on a rotorcraft. The system includes a processor programmed to: for each cartesian input point in a sequence defining a cartesian pattern, determine an initial light head orientation as a function of the real-time rotorcraft state; generate and transmit a pan command and a tilt command as a function of the initial light head orientation and the cartesian input point; and identify a delta-range. A pan-tilt-zoom (PTZ) camera is configured to continuously slave and have a field of view centered on a beam axis of the SAR light. The PTZ camera captures a video stream and transmits it; zooms in on the field of view of the PTZ camera when the delta-range is positive; and zooms out on the field of view of the PTZ camera when the delta-range is negative.
Abstract:
Provided are systems and methods for controlling a search and rescue (SAR) light on a rotorcraft. The system includes a processor programmed to: for each cartesian input point in a sequence defining a cartesian pattern, determine an initial light head orientation as a function of the real-time rotorcraft state; generate and transmit a pan command and a tilt command as a function of the initial light head orientation and the cartesian input point; and identify a delta-range. A pan-tilt-zoom (PTZ) camera is configured to continuously slave and have a field of view centered on a beam axis of the SAR light. The PTZ camera captures a video stream and transmits it; zooms in on the field of view of the PTZ camera when the delta-range is positive; and zooms out on the field of view of the PTZ camera when the delta-range is negative.
Abstract:
Methods and systems are provided for displaying information on a display device of an aircraft. The method comprises receiving aircraft data from one or more aircraft components; displaying on a user interface the aircraft data and at least one interactive display element associated with an autopilot control function; receiving user input based on an interaction with the at least one interactive display element; and selectively changing an appearance of the at least one interactive display element based on the user input.
Abstract:
During a deployment phase, each worker that enters a secure area is identified. The behavior of each worker is monitored while the worker is in the secure area in order to develop an Artificial Intelligence (AI) model that is specific to each worker and is representative of at least part of the behavior of the corresponding worker in the secure area. During an operational phase, each worker that enters the secure area is identified. The behavior of each worker is monitored while the worker is in the secure area. The current behavior of each worker in the secure area is compared with the behavior represented by the AI model that corresponds to the worker. An alarm is raised when the current behavior of one or more workers diverges from the behavior represented by the AI model that corresponds to the worker.
Abstract:
Each of a plurality of assets within a building are configured to access a cellular network in order to ascertain its specific location, to perform self-diagnostics on itself, and to transmit an assistance request when the self-diagnostics indicates a potential problem. The assistance request may include the specific location of the asset and an indication of the potential problem. A server is operably couplable to the cellular network and is configured to receive the assistance requests from the assets, formulate a service request for responding to at least some of the received assistance requests, assign each of the service requests to a corresponding one of one or more automated asset maintenance assistants, and transmit each of the service requests to the assigned automated asset maintenance assistant instructing the assigned automated asset maintenance assistant to respond to the corresponding assistance request.
Abstract:
During a deployment phase, each worker that enters a secure area is identified. The behavior of each worker is monitored while the worker is in the secure area in order to develop an Artificial Intelligence (AI) model that is specific to each worker and is representative of at least part of the behavior of the corresponding worker in the secure area. During an operational phase, each worker that enters the secure area is identified. The behavior of each worker is monitored while the worker is in the secure area. The current behavior of each worker in the secure area is compared with the behavior represented by the AI model that corresponds to the worker. An alarm is raised when the current behavior of one or more workers diverges from the behavior represented by the AI model that corresponds to the worker.