Abstract: A tracking device is described. The tracking device receives, from a management server, pressure measurement thresholds. The tracking device monitors pressure measurements of the asset. Based on the pressure measurements, the tracking device enters an active mode of operation. When operating in the active mode of operation, the tracking device transmits sensor measurements of the asset to the management server. The tracking device determines new pressure measurements of the asset. Based on the new pressure measurements, the tracking device enters a passive mode of operation. When operating in the passive mode of operation, no data is transmitted or received from/to the tracking device to/from the management server.

Abstract: A method for flight data object realization includes storing a graph database that defines nodes populated with properties, receiving relationships among data items stored in data stores, transforming the relationships into edges in the graph database, receiving a query to create the flight data object, accessing the graph database, extracting particular properties from the graph database in response to the query, fetching from the data stores particular data items in response to the particular properties, generating the flight data object with the particular data items, creating a visual presentation of the flight data object, and presenting the flight data object.

Abstract: Machine vision devices may be configured to automatically connect to a remote management server (e.g., a “cloud”-based management server), and may offload and/or communicate images and analyses to the remote management server via wired or wireless communications. The machine vision devices may further communicate with the management server, user computing devices, and/or human machine interface devices, e.g., to provide remote access to the machine vision device, provide real-time information from the machine vision device, receive configurations/updates, provide interactive graphical user interfaces, and/or the like.

Abstract: A controller device may connect to one or more expansion modules for capability expansion. The controller device may be configured to automatically detect and identify connected expansions modules. The controller device may be configured to further automatically detect an order in which the expansion modules are connected. A graphical user interface may be provided including a visualization of the system configuration including the order of the expansion modules.

Abstract: An intrusion detection apparatus and method thereof are provided. The intrusion detection apparatus includes a status detection device, a front-end signal processor, a delay device, and a signal sampler. The status detection device is configured to generate an indicating signal according to an opened status of the case. The front-end signal processor receives the indicating signal and performs a noise filtering function on the indicating signal so as to generate a processed indicating signal. The delay device delays the processed indicating signal to generate a delayed indicating signal. The signal sampler samples the processed indicating signal to generate a detection result according to the delayed indicating signal.

Abstract: A method and apparatus to automatically control the timing of an image acquisition by an imaging system in developing a correlation model of movement of a target within a patient.

Abstract: A controller device may connect to one or more expansion modules for capability expansion. The controller device may be configured to automatically detect and identify connected expansions modules. The controller device may be configured to further automatically detect an order in which the expansion modules are connected. A graphical user interface may be provided including a visualization of the system configuration including the order of the expansion modules.

Abstract: Machine vision devices may be configured to automatically connect to a remote management server (e.g., a “cloud”-based management server), and may offload and/or communicate images and analyses to the remote management server via wired or wireless communications. The machine vision devices may further communicate with the management server, user computing devices, and/or human machine interface devices, e.g., to provide remote access to the machine vision device, provide real-time information from the machine vision device, receive configurations/updates, provide interactive graphical user interfaces, and/or the like.

Abstract: A tracking device is described. The tracking device receives, from a management server, pressure measurement thresholds. The tracking device monitors pressure measurements of the asset. Based on the pressure measurements, the tracking device enters an active mode of operation. When operating in the active mode of operation, the tracking device transmits sensor measurements of the asset to the management server. The tracking device determines new pressure measurements of the asset. Based on the new pressure measurements, the tracking device enters a passive mode of operation. When operating in the passive mode of operation, no data is transmitted or received from/to the tracking device to/from the management server.

Abstract: A tracking device is described. The tracking device receives, from a management server, configuration parameters including a first data transmission rate and a second data transmission rate. The tracking device automatically enters into an active mode of the tracking device. When operating in an active mode, the tracking device, is operative to transmit, in response to determining based on first motion sensor measurements that the asset is stationary, first location data at the first data transmission rate. In response to determining, based on second motion sensor measurements and motion definition parameters, that the asset is mobile, the tracking device is operative to transmit, second location data of the asset at the second data transmission rate.

Abstract: A tracking device is described. The tracking device receives, from a management server, configuration parameters including a first data transmission rate and a second data transmission rate. The tracking device automatically enters into an active mode of the tracking device. When operating in an active mode, the tracking device, is operative to transmit, in response to determining based on first motion sensor measurements that the asset is stationary, first location data at the first data transmission rate. In response to determining, based on second motion sensor measurements and motion definition parameters, that the asset is mobile, the tracking device is operative to transmit, second location data of the asset at the second data transmission rate.

Abstract: A tracking device is described. The tracking device receives, from a management server, configuration parameters including a first data transmission rate and a second data transmission rate. The tracking device automatically enters into an active mode of the tracking device. When operating in an active mode, the tracking device, is operative to transmit, in response to determining based on first motion sensor measurements that the asset is stationary, first location data at the first data transmission rate. In response to determining, based on second motion sensor measurements and motion definition parameters, that the asset is mobile, the tracking device is operative to transmit, second location data of the asset at the second data transmission rate.

Abstract: A method and apparatus to automatically control the timing of an image acquisition by an imaging system in developing a correlation model of movement of a target within a patient.

Abstract: A method and apparatus to automatically control the timing of an image acquisition by an imaging system in developing a correlation model of movement of a target within a patient.

Abstract: A method and apparatus to automatically control the timing of an image acquisition by an imaging system in developing a correlation model of movement of a target within a patient.

Abstract: A method and apparatus to automatically control the timing of an image acquisition by an imaging system in developing a correlation model of movement of a target within a patient.

Abstract: A method and apparatus to develop an advanced correlation model of movement of a target within a patient, which needs less data points and can adapt to the changes of respiration behavior automatically.

Abstract: A method and apparatus to develop an advanced correlation model of movement of a target within a patient, which needs less data points and can adapt to the changes of respiration behavior automatically.

Abstract: A method and apparatus to automatically control the timing of an image acquisition by an imaging system in developing a correlation model of movement of a target within a patient.