G06V10/7784

Systems and methods for data collection and signal conditioning in an industrial environment

Systems and methods for data collection and signal processing are disclosed, including a plurality of variable groups of analog sensor inputs, the analog sensors operationally coupled to an industrial environment. The inputs of the sensors may be received by an analog crosspoint switch, where the signals are monitored, data collection may be adaptively scheduled, front end signal conditioning may occur, and a noise value determined.

Systems and methods for data collection and processing with IP front-end signal conditioning

Systems and methods for data collection and processing system are disclosed. A multiplexer in a data collector may receive a plurality of sensor channels, wherein each of the plurality of sensor channels is coupled to at least one of a plurality of industrial sensors operationally coupled to an industrial environment. The multiplexor may perform signal conditioning including generating a timing signal from a trigger channel and deriving a relative phase between a trigger channel and an input channel in response to the timing signal. The signal conditioning may include internet protocol (IP) front-end end signal conditioning to improve a signal-to-noise ratio.

Systems, methods and apparatus for providing a reduced dimensionality view of data collected on a self-organizing network

The present disclosure describes systems and methods for interpreting data from a plurality of input sensors, wherein each of the plurality of input sensors is operationally coupled to a component of an industrial environment. Methods including operating a self-organizing network on the data from the plurality of input sensors, thereby determining a structure in the data, determining a reduced dimensionality view of the data in response to the determined structure in the data, wherein the reduced dimensionality view includes fewer dimensions than the data from the plurality of input sensors, and providing the reduced dimensionality view to a user interface are disclosed together with systems therefore.

Methods and systems of diagnosing machine components using neural networks and having bandwidth allocation

Systems and methods for data collection in an industrial environment are disclosed. A system may include a data collector to collect data from a subset of a plurality of input channels based on a selected data collection routine, and a data acquisition and analysis circuit for receiving the collected data and analyzing the collected data using an expert system analysis circuit to determine an occurrence of an anomalous condition for a machine component based on an analysis. The expert system analysis circuit may utilize a neural network. The data analysis circuit may determine an aggregate rate of data being collected and, if the aggregate rate exceeds a current bandwidth allocation rate associated with the network infrastructure, request an increase to the current bandwidth allocation rate from the network infrastructure.

Machine learning based prediction of human interactions with autonomous vehicles

Systems and methods for predicting user interaction with vehicles. A computing device receives an image and a video segment of a road scene, the first at least one of an image and a video segment being taken from a perspective of a participant in the road scene and then generates stimulus data based on the image and the video segment. Stimulus data is transmitted to a user interface and response data is received, which includes at least one of an action and a likelihood of the action corresponding to another participant in the road scene. The computing device aggregates a subset of the plurality of response data to form statistical data and a model is created based on the statistical data. The model is applied to another image or video segment and a prediction of user behavior in the another image or video segment is generated.

Human-assisted machine learning through geometric manipulation and refinement

Systems and methods are provided for feature detection such that users can apply advanced machine learning and artificial intelligence (AI) without the need for a deep understanding of existing algorithms and techniques. Embodiments of the present disclosure provide systems and methods than enable easy access to a suite of machine learning algorithms and techniques, an intuitive interface for training an AI to recognize image features based on geometric “correct and refine” recursion, and real-time visualizations of training effectiveness.

Analysis device

An analysis device includes an analysis unit configured to receive scattered light, transmitted light, fluorescence, or electromagnetic waves from an observed object located in a light irradiation region light-irradiated from a light source and analyze the observed object on the basis of a signal extracted on the basis of a time axis of an electrical signal output from a light-receiving unit configured to convert the received light or electromagnetic waves into the electrical signal.

Systems and methods for data collection providing a haptic user interface

Systems, methods and apparatus for data collection in an industrial environment having wearable haptic stimulators are disclosed. Data received from a plurality of sensors operationally coupled to a machine of an industrial environment, where the data is representative of a sensed condition, may be used to determine at least one haptic stimulation that corresponds to the received data. In response to the determined haptic stimulation, at least one signal may be sent to at least one wearable haptic stimulator, wherein the wearable haptic stimulator is responsive to the signal.

Systems and methods for data collection having intelligent data collection bands

Systems and methods of data collection and processing including a plurality of variable groups of industrial sensor inputs, each of the plurality of variable groups of industrial sensor inputs operationally coupled to an industrial environment and a multiplexer including a plurality of sensor channels, wherein each of the plurality of sensor channels is communicatively coupled to at least one of the plurality of variable groups of sensor inputs and including an expert system or a graphical user interface (GUI) to define at least one of intelligent data collection bands or diagnostics for the industrial environment.

Systems and methods for data collection utilizing relative phase detection

Methods and systems for monitoring data collection are described. The system can include a data acquisition circuit structured to interpret a plurality of detection values, each of the plurality of detection values corresponding to at least one of a plurality of input sensors communicatively coupled to the data acquisition circuit; a signal evaluation circuit comprising: a timer circuit structured to generate at least one timing signal; and a phase detection circuit structured to determine a relative phase difference between at least one of the plurality of detection values and the at least one timing signal from the timer circuit; and a response circuit structured to perform at least one operation in response to the relative phase difference.