[Problem] A device capable of supplying data required for providing a service is efficiently specified among multiple devices connected to a network.

[Solution] A distributed device management system 10 specifies a device 16 capable of supplying request data used for providing a service, from among a plurality of devices 16 connected to a network. Device management function units 14 are disposed so as to be geographically distributed and manage the states of the devices located in deployed areas. A device specifying function unit 12 has a device inquiry cache DB1 in which a response log including the type of data which was previously required for the service and an identifier of the device management function unit 14 that manages the device 16 which was capable of supplying the data is recorded. In a case where this request data coincides with the type of data included in the response log, an inquiry is transmitted to the device management function unit 14 associated with the request data in the response log.

A system for monitoring a device includes, among other things, at least one sensor adjacent a device, and a controller coupled to the at least one sensor. The controller includes a comparison module operable to determine that at least one predetermined criterion is met in response to comparing one or more values sensed by the least one sensor, the at least one predetermined criterion based on a total number of cycles associated with operation of the device. A method of monitoring a device is also disclosed.

A method, computer program product, and computing system for synchronizing machine vision and audio is executed on a computing device and includes obtaining encounter information of a patient encounter, wherein the encounter information includes machine vision encounter information and audio encounter information. The machine vision encounter information and the audio encounter information are temporally-aligned to produce a temporarily-aligned encounter recording.

A method, computer program product, and computing system for automating a monitoring process is executed on a computing device and includes obtaining encounter information of a patient encounter. The encounter information is processed to determine if the encounter information is indicative of a potential medical situation. An inquiry is initiated concerning the potential medical situation.

A data tracking apparatus, method, and non-transitory tangible machine-readable medium thereof are provided. The data tracking apparatus includes a storage device, a display screen, and a processor. The storage device stores a fact dataset, wherein the fact dataset is continuously updated by a stream of data. The display screen displays a user interface, wherein the user interface comprises a plurality of options related to the fact dataset. The processor establishes a tracking rule in response to one of the options being selected and updates the user interface so that the user interface further includes a tracking item corresponding to the tracking rule. The processor derives a tracking result by querying the updated fact dataset according to the tracking rule in response to the tracking item being selected.

Internet of Things (IoT) appliances are gaining consumer traction, from smart thermostats to smart speakers. These devices generally have limited user interfaces, most often small buttons and touchscreens, or rely on voice control. Further, these devices know little about their surroundingsunaware of objects, people and activities around them. Consequently, interactions with these smart devices can be cumbersome and limited. The present invention presents an approach that enriches IoT experiences with rich touch and object sensing, offering a complementary input channel and increased contextual awareness. The present invention incorporates a range sensing technology into the computing devices, providing an expansive ad hoc plane of sensing just above the surface with which a device is associated. Additionally, the present invention can recognize and track a wide array of objects, including finger touches and hand gestures. The present invention can also track people and estimate which way they are facing.

A method, computer program product, and computing system for tracking encounter participants is executed on a computing device and includes obtaining encounter information of a patient encounter, wherein the encounter information includes machine vision encounter information obtained via one or more machine vision systems. The machine vision encounter information is processed to identify one or more humanoid shapes.

The example embodiments are directed to a system and methods for determining to update a machine learning model based on model degradation. In one example, the method may include one or more of receiving data acquired at an edge of an Internet of things (IoT) network from an industrial asset, executing a machine learning model with the received data as input to generate a predictive output associated with the industrial asset, determining that a performance of the machine learning model on the edge has degraded based on the generated predictive output of the machine learning model, and transmitting information about the degraded performance of the machine learning model to a central server within the IoT network.

A method, computer program product, and computing system for tracking encounter participants is executed on a computing device and includes obtaining encounter information of a patient encounter, wherein the encounter information includes machine vision encounter information obtained via one or more machine vision systems. The machine vision encounter information is processed to identify one or more humanoid shapes.

This disclosure relates generally to Internet of Things (IoT), and more particularly to method, system, and framework for implementing IoT applications. In one embodiment, a method is provided for implementing a software application for an IoT device. The method may include defining, by an IoT implementation framework, a set of events and a set of actions for the IT implementation based on a process flow and configuration metadata. The method may further include creating, by the implementation framework, a set of custom actions, for the IT implementation, based on the set of events, the set of actions, and the configuration metadata. The method may further include processing, by the implementation framework, a set of messages received from the IoT device based on the process flow, the set of custom actions, and a set of pre-built actions.