Abstract: A building sensor node of a sensor network system, wherein the sensor node includes one or more memory devices configured to store instructions thereon, that, when executed by one or more processors, cause the one or more processors to execute a first function to provide a first functionality, wherein the first function is associated with a next function identifier of a next function. The instructions further cause the one or more processors to transition between a number of states of a state machine based on the next function identifier, verify execution of the next function by comparing the next function identifier to a table of allowed transitions receive an additional function from a server, and update the sensor node to provide a second functionality to the sensor node without rebooting the sensor node based on the additional function received from the server.

Abstract: A server system can receive an assertion of an alarm condition from a security system that processes sensor signals from sensors and that triggers the alarm condition. The server system is can send messages to determined nearby sensors to start sending data back to the server system according to the alarm condition. The server system can analyze sensor data received from the sensors. The analysis includes a verification of the alarm condition, a determination of how often queried data is requested, and a determination of which of selected data received from selected sensors to forward to one or more mixed reality devices. The server system can forward data to the one or more mixed reality.

Abstract: Disclosed are techniques that use mixed reality, e.g., augmented reality and virtual reality technologies to improve analysis of security situations. The techniques allow a guard (or other user in a facility) to observe persons in a facility and determine merely by looking at such persons through a mixed reality device whether those persons are authorized to be in the facility or not, irrespective of whether those persons are required or not required to publically display some credentials, such as a badge or the like.

Abstract: A system includes plural sensor devices installed at a premises and a server computer coupled to a network and in communication with a gateway, which receives a risk profile for a physical premises, collect sensor information from the plural sensor devices and receives data feeds relevant to a location of the physical premises and execute one or more learning models to continually analyze the collected sensor information and data feeds to produce operational decisions based on the sensor information and data feeds to predict changes to risk profiles based on the continual analysis of sensor information and which determines responses to new risk profiles that are produced. The system also includes an engine for monitoring the sensor devices to recognize occurrences of events, and ask, through an interface to a human for additional information to confirm an occurrence of one or more of the events.

Abstract: Disclosed are techniques that use mixed reality, e.g., augmented reality and virtual reality technologies to improve analysis of retail processes and activity in retail establishments. A server system receives images from a mixed reality device, which images including representations of physical objects and receives voice data from the mixed reality device and executes a cognitive agent to process the voice data received from the mixed reality device that generates a set of virtual objects that include data describing merchandising process concepts regarding the set of physical objects, based on input queries received in the voice data and sending by a server system, the set of virtual objects to the mixed reality device.

Abstract: A distributed device network including a number of device nodes connected to a wireless mesh network and including memory configured to store instructions thereon. The instructions cause the one or more processors to receive, from a server by a first device node of the number of device nodes, a first packaged application, the first packaged application including a first functionality, execute, by the first device node, the first packaged application to provide the first functionality receive, from the server by a second device node of the number of device nodes, a second packaged application, the second packaged application including a second functionality, execute, by the second device node, the second packaged application to provide the second functionality, wherein the number of device nodes are resource-constrained devices that cooperate to perform one or more functions of a cloud computing system.

Abstract: Systems (100) and methods for determining a location of a tag (310). The methods involve: receiving, at each detector of a plurality of detectors (202-216, 306, 308), a device transmission periodically transmitted from the tag; determining, by the detectors, Received Signal Strength Indictors (“RSSIs”) for the device transmission received thereat; determining, by a computing device (218), a probable location of the tag within the passage, first demarcated area or second demarcated area using the RSSIs and relationships between the RSSIs; determining a first likelihood value indicating the likelihood that the probable location is correct; and determining an estimated location of the tag within the passage, first demarcated area or second demarcated area based on the probable location when the first likelihood value meets a first criteria.

Abstract: A device, such as a constrained device that includes a processing device and memory, schedules user-defined independently executable functions to execute from a single stack common to all user-defined independently executable functions according to availability and priority of the user-defined independently executable functions relative to other user-defined independently executable functions and preempts currently running user-defined independently executable function by placing the particular user-defined independently executable function on a single stack that has register values for the currently running user-defined independently executable function.

Abstract: Described is a system that includes a queue cluster including first network devices that cooperate to communicate with end nodes of a network and to store information from the end nodes in memory, a processing cluster comprising second network devices that cooperate to perform one or more tasks on the information from the queue cluster, and a database cluster including third network devices that cooperate to provide storage for use by the processing cluster, with the queue cluster, the processing cluster, and the database cluster being part of a local network that is connectable to an external network, the local network including a wireless mesh network and for the one or more tasks, a network device among the second network devices is selected as a leader responsible for task execution.

Abstract: A building sensor node of a sensor network system, wherein the sensor node includes one or more memory devices configured to store instructions thereon, that, when executed by one or more processors, cause the one or more processors to execute a first function to provide a first functionality, wherein the first function is associated with a next function identifier of a next function. The instructions further cause the one or more processors to transition between a number of states of a state machine based on the next function identifier, verify execution of the next function by comparing the next function identifier to a table of allowed transitions receive an additional function from a server, and update the sensor node to provide a second functionality to the sensor node without rebooting the sensor node based on the additional function received from the server.

Abstract: A networked system for managing a physical intrusion detection/alarm includes an upper tier of server devices, comprising: processor devices and memory in communication with the processor devices, a middle tier of gateway devices that are in communication with upper tier servers, and a lower level tier of devices that comprise fully functional nodes with at least some of the functional nodes including an application layer that execute routines to provide node functions, and a device to manage the lower tier of devices, the device instantiating a program manager that executes a state machine to control the application layer in each of the at least some of the functional nodes.

Abstract: A networked system for managing a physical intrusion detection/alarm includes an upper tier of server devices, comprising: processor devices and memory in communication with the processor devices, a middle tier of gateway devices that are in communication with upper tier servers, and a lower level tier of devices that comprise fully functional nodes with at least some of the functional nodes including an application layer that execute routines to provide node functions, and a device to manage the lower tier of devices, the device instantiating a program manager that executes a state machine to control the application layer in each of the at least some of the functional nodes.

Abstract: Disclosed are techniques that use mixed reality, e.g., augmented reality and virtual reality technologies to improve analysis of retail processes and activity in retail establishments. A server system receives images from a mixed reality device, which images including representations of physical objects and receives voice data from the mixed reality device and executes a cognitive agent to process the voice data received from the mixed reality device that generates a set of virtual objects that include data describing merchandising process concepts regarding the set of physical objects, based on input queries received in the voice data and sending by a server system, the set of virtual objects to the mixed reality device.

Abstract: A networked system for managing a physical intrusion detection/alarm includes an upper tier of server devices, comprising: processor devices and memory in communication with the processor devices, a middle tier of gateway devices that are in communication with upper tier servers, and a lower level tier of devices that comprise fully functional nodes with at least some of the functional nodes including an application layer that execute routines to provide node functions, and a device to manage the lower tier of devices, the device instantiating a program manager that executes a state machine to control the application layer in each of the at least some of the functional nodes.

Abstract: Systems (100) and methods for determining a location of a tag (310). The methods involve: receiving, at each detector of a plurality of detectors (202-216, 306, 308), a device transmission periodically transmitted from the tag; determining, by the detectors, Received Signal Strength Indictors (“RSSIs”) for the device transmission received thereat; determining, by a computing device (218), a probable location of the tag within the passage, first demarcated area or second demarcated area using the RSSIs and relationships between the RSSIs; determining a first likelihood value indicating the likelihood that the probable location is correct; and determining an estimated location of the tag within the passage, first demarcated area or second demarcated area based on the probable location when the first likelihood value meets a first criteria.

Abstract: A system includes plural sensor devices installed at a premises and a server computer coupled to a network and in communication with a gateway, which receives a risk profile for a physical premises, collect sensor information from the plural sensor devices and receives data feeds relevant to a location of the physical premises and execute one or more learning models to continually analyze the collected sensor information and data feeds to produce operational decisions based on the sensor information and data feeds to predict changes to risk profiles based on the continual analysis of sensor information and which determines responses to new risk profiles that are produced. The system also includes an engine for monitoring the sensor devices to recognize occurrences of events, and ask, through an interface to a human for additional information to confirm an occurrence of one or more of the events.

Abstract: A networked system for managing a physical intrusion detection/alarm includes an upper tier of server devices, comprising: processor devices and memory in communication with the processor devices, a middle tier of gateway devices that are in communication with upper tier servers, and a lower level tier of devices that comprise fully functional nodes with at least some of the functional nodes including an application layer that execute routines to provide node functions, and a device to manage the lower tier of devices, the device instantiating a program manager that executes a state machine to control the application layer in each of the at least some of the functional nodes.

Abstract: Embodiments of intrusion detection systems are described and which include an intrusion detection panel that receives binary and metadata sensor data from which the presence of an alarm condition is detected. In addition sensor devices analyze sensor data received from other sensor devices that are in a peer to peer relationship with the corresponding sensor device to validate whether the indicated alarm condition is a valid alarm or a false alarm.

Abstract: Disclosed are techniques that use mixed reality, e.g., augmented reality and virtual reality technologies to improve analysis of retail processes and activity in retail establishments. A server system receives images from a mixed reality device, which images including representations of physical objects and receives voice data from the mixed reality device and executes a cognitive agent to process the voice data received from the mixed reality device that generates a set of virtual objects that include data describing merchandising process concepts regarding the set of physical objects, based on input queries received in the voice data and sending by a server system, the set of virtual objects to the mixed reality device.

Abstract: Systems (100) and methods for determining a location of a tag (310). The methods involve: receiving, at each detector of a plurality of detectors (202-216, 306, 308), a device transmission periodically transmitted from the tag; determining, by the detectors, Received Signal Strength Indictors (“RSSIs”) for the device transmission received thereat; determining, by a computing device (218), a probable location of the tag within the passage, first demarcated area or second demarcated area using the RSSIs and relationships between the RSSIs; determining a first likelihood value indicating the likelihood that the probable location is correct; and determining an estimated location of the tag within the passage, first demarcated area or second demarcated area based on the probable location when the first likelihood value meets a first criteria.