Abstract:
According to one or more embodiments of the disclosure, thing discovery and configuration for an Internet of Things (IoT) integrated developer environment (IDE) is shown and described. In particular, in one embodiment, a computer operates an IoT IDE that discovers real-world physical devices within a computer network that are available to participate with the IoT IDE. The IoT IDE may then determine a respective functionality of each of the real-world physical devices, and virtually represents the real-world physical devices as selectable options within the IoT IDE for an IoT application, where a respective virtual representation of each of the real-world physical devices is configured within the IoT IDE with the corresponding respective functionality of that real-world physical device. Simulating the IoT application within the IoT IDE then relays input and/or output (I/O) between the IoT IDE and a selected set of real-world physical devices according to their corresponding respective functionality.
Abstract:
Disclosed are systems, methods, and computer-readable media for a hybrid cloud structure for machine-learning based object recognition. In one aspect, a system includes one or more video-capable access points; and one or more processors configured to receive image data from the one or more video-capable access points; perform, at a first processor of the one or more processors, a first process to detect one or more objects of interest in the image data; generate vector IDs for one or more objects detected in the image data; perform, at a second processor of the one or more processors, a second process to identify the one or more objects in the vector IDs; and generate at least one offline trail for the one or more objects based on statistics associated with the one or more objects identified.
Abstract:
According to one or more embodiments of the disclosure, thing discovery and configuration for an Internet of Things (IoT) integrated developer environment (IDE) is shown and described. In particular, in one embodiment, a computer operates an IoT IDE that discovers real-world physical devices within a computer network that are available to participate with the IoT IDE. The IoT IDE may then determine a respective functionality of each of the real-world physical devices, and virtually represents the real-world physical devices as selectable options within the IoT IDE for an IoT application, where a respective virtual representation of each of the real-world physical devices is configured within the IoT IDE with the corresponding respective functionality of that real-world physical device. Simulating the IoT application within the IoT IDE then relays input and/or output (I/O) between the IoT IDE and a selected set of real-world physical devices according to their corresponding respective functionality.
Abstract:
In one embodiment, a graphical user interface (GUI) is established for an Internet of Things (IoT) integrated developer environment (IDE) with one or more visual developer tools. Real and/or virtual nodes are provided within the IoT IDE having connectivity and functionality, and a plurality are connected as a logical and executable graph for a flow-based programming framework virtualized across one or more IoT layers. The nodes may then be programmed based on respective connectivity and functionality, such that the logical and executable graph has real and/or virtual inputs, real and/or virtual processing functions, and real and/or virtual actions. Upon deploying the node programming to one or more corresponding platform emulators configured to execute the node programming, the logical and executable graph may be simulated by executing the node programming to produce the one or more actions based on the one or more inputs and the one or more processing functions.
Abstract:
In one embodiment, a graphical user interface (GUI) is established for an Internet of Things (IoT) integrated developer environment (IDE) with one or more visual developer tools. Real and/or virtual nodes are provided within the IoT IDE having connectivity and functionality, and a plurality are connected as a logical and executable graph for a flow-based programming framework virtualized across one or more IoT layers. The nodes may then be programmed based on respective connectivity and functionality, such that the logical and executable graph has real and/or virtual inputs, real and/or virtual processing functions, and real and/or virtual actions. Upon deploying the node programming to one or more corresponding platform emulators configured to execute the node programming, the logical and executable graph may be simulated by executing the node programming to produce the one or more actions based on the one or more inputs and the one or more processing functions.