Abstract: A method for detecting structural defects includes generating a first probabilistic map of a critical location of a structural component based on a physics model of the critical location, capturing data of the critical location, generating a second probabilistic map based on an analysis of the captured data of the critical location, aligning the first probabilistic map and the second probabilistic map, combining the aligned first and second probabilistic maps, and determining if the structural component includes a structural defect based on the combined probabilistic maps.

Abstract: Methods, systems, and/or apparatuses are described for detecting relevant motion of objects of interest (e.g., persons and vehicles) in surveillance videos. As described herein input data based on a plurality of captured images and/or video is received. The input data may then be pre-processed and used as an input into a convolution network that may, in some instances, have elements that perform both spatial-wise max pooling and temporal-wise max pooling. Based on The convolution network may be used to generate a plurality of prediction results of relevant motion of the objects of interest.

Abstract: A method of performing context-based autonomous perception is provided. The method includes acquiring perception sensor data as an image by an autonomous perception system that includes a processing system coupled to a perception sensor system. Feature extraction is performed on the image by the autonomous perception system. The feature extraction identifies one or more features in the image. Contextual information associated with one or more conditions present upon acquiring the perception sensor data is determined. One or more labeled reference images are retrieved from at least one of a contextually-indexed database based on the contextual information, a feature-indexed database based on at least one of the features extracted, and a combined contextually- and feature-indexed database. The image is parsed, and one or more semantic labels are transferred from the one or more labeled reference images to form a semantically labeled version of the image.

Abstract: A cache associated with a voice recognition engine may be configured to receive an audio file corresponding to a voice query. The voice query may be received by the voice recognition engine from a user device in response to receipt of the voice query by the user device at the user device. The cache may be configured to determine an audio fingerprint based on the audio file and to determine whether the audio fingerprint corresponds to one of a plurality of audio transcriptions stored in the cache. The audio transcriptions may correspond to popular voice queries received at the voice recognition engine and processed by a server capable of performing automated speech recognition. In response to determining that the audio fingerprint corresponds to a given one of the stored audio transcriptions, the audio file may be processed based on the stored audio transcription.

Abstract: Methods, systems, and apparatuses for predicting an end of a command in a voice recognition input are described herein. The system may receive data comprising a voice input. The system may receive a signal comprising a voice input. The system may detect, in the voice input, data that is associated with a first portion of a command. The system may predict, based on the first portion and while the voice input is being received, a second portion of the command. The prediction may be generated by a machine learning algorithm that is trained based at least in part on historical data comprising user input data. The system may cause execution of the command, based on the first portion and the predicted second portion, prior to an end of the voice input.

Abstract: A remote SERS spectrum detection system and a method thereof. The system includes: a pulsed laser light source, configured to emit Raman excitation light; an optical fiber Raman coupling module, configured to couple the Raman excitation light; the optical fiber Raman probe, configured to transmit the Raman excitation light to an object to be measured to generate a SERS signal light, a backscattered SERS signal light being coupled to a monochromator through the optical fiber Raman coupling module; the monochromator, configured to split the backscattered SERS signal light, to obtain backscattered SERS signal lights at different wavelengths; a high-speed photodetector, configured to convert the backscattered SERS signal lights into time-resolved electrical signals; a processor, for analyzing electrical signals, retrieving a SERS spectrum of the remote object to be measured, and controlling automatic scanning of a grating in the monochromator to achieve clock synchronization.

Abstract: A sewage/wastewater biological treatment system-sewage (wastewater) synergistic treatment acceleration device, which includes four components of a reaction assembly, a signal transmission assembly, a control assembly, and a housing carrying assembly. The reaction assembly can realize the colonization/proliferation of functional microorganisms, participate in the interface electron transfer between the electrode-microbe-sewage as an electron donor/receptor and electrode interface of the (bio)electrochemical reaction, and optimize the flow characteristics in the sewage/wastewater treatment system. The signal transmission assembly enables the conduction of applied voltage and real-time signal acquisition and transmission of key parameters. The monitoring assembly implements intelligent controllability of the present invention. The housing carrying assembly enables integrated assembly of single device and multi-device serial/parallel operation assembly.

Abstract: A cache associated with a voice recognition engine may be configured to receive an audio file corresponding to a voice query. The voice query may be received by the voice recognition engine from a user device in response to receipt of the voice query by the user device at the user device. The cache may be configured to determine an audio fingerprint based on the audio file and to determine whether the audio fingerprint corresponds to one of a plurality of audio transcriptions stored in the cache. The audio transcriptions may correspond to popular voice queries received at the voice recognition engine and processed by a server capable of performing automated speech recognition. In response to determining that the audio fingerprint corresponds to a given one of the stored audio transcriptions, the audio file may be processed based on the stored audio transcription.

Abstract: A voice enabled device can assist a computing device, such as a server, in processing/analyzing a voice input. The voice enabled device can initiate a network communication session and transmit the voice input to the computing device. The computing device can classify the voice input as a type of communication session (e.g., conversation, etc . . . ). Based on the type of communication session, the computing device can either remain in communication with the voice enabled device and continue to process voice input or terminate the communication after instructing the voice enabled device to process the voice input.

Abstract: A method of structural masking for progressive health monitoring of a structural component includes receiving a current image of the structural component. A processor aligns the current image and a reference image of the structural component. The processor performs a structure estimation on the current image and the reference image to produce a current structure estimate image and a reference structure estimate image. The processor generates a structural mask from the reference structure estimate image. The processor masks the current structure estimate image with the structural mask to identify one or more health monitoring analysis regions including a potential defect or damaged area appearing in the masked current structure estimate image that does not appear in the reference structure estimate image.

Abstract: A method and system for performing automated defect detection is disclosed. The system may include at least one database, an image capture device and a processor. The method may comprise providing at least one database for storing information used in processing data to detect a defect in at least one member of a plurality of members in a device. The information may include a plurality of different modes of data. The method may further comprise providing a processing unit for processing the information; receiving, by the database, updates to the information; identifying a potential defect in a first mode of data; applying, by the processing unit, analysis of a second mode of data, the analysis of the second mode of data triggered by the identifying, the second mode of data different than the first mode of data; and reporting defects based on the results of the applying.

Abstract: A camera system may automatically identify high frequency motion regions in a field of view of the camera system. Analysis of motion events detected at different regions of a scene in the field of view, may be performed. Similar events frequently occurring at a certain region may be recorded/accumulated and compared to a threshold. Regions with high frequency activity may be determined and a user may be notified. If the user is not interested in events within the high activity regions, the regions may be ignored and notifications to the user may cease. The camera system may determine specific actions/events occurring in a region, such as a person approaching or leaving a home.

Abstract: Methods, systems, and/or apparatuses are described for detecting relevant motion of objects of interest (e.g., persons and vehicles) in surveillance videos. As described herein input data based on a plurality of captured images and/or video is received. The input data may then be pre-processed and used as an input into a convolution network that may, in some instances, have elements that perform both spatial-wise max pooling and temporal-wise max pooling. Based on The convolution network may be used to generate a plurality of prediction results of relevant motion of the objects of interest.

Abstract: A method for detecting a crack in a structural component includes receiving, with a processor, signals indicative of at least one image for a critical location in the structural component; determining, with the processor, at least one shape in the at least one image, the at least one shape being representative of a structure of the critical location; representing, with the processor, at least one region around the structure into a matrix; and applying, with the processor, image processing on the matrix to detect cracks in the at least one region of the structural component.

Abstract: An electronic landing platform state module is configured to generate a state estimation of a platform surface at sea includes a plurality of electronic platform state process modules configured to receive an output from a respective spectral sensor. The plurality of electronic platform state process modules are further configured to output a monitored spectral platform state signal in response to applying a spectral process on a respective output. Each spectral process corresponds to a particular spectral modality of the respective spectral sensor. The electronic landing platform state module further includes an electronic platform state estimator module configured to determine a corrected dynamic state of the platform in response to fusing together the individual monitored spectral platform state signals.

Abstract: Some embodiments in this disclosure provide a method to control lens of a camera module, a lens control terminal and a storage media, wherein the method to control lens of a camera module includes receiving power-off signal of the camera module; controlling the lens moving towards a zero position gradually, till the lens moves back to the zero position; powering off the camera module.

Abstract: Methods and systems for more efficient analyses of and response to voice commands and queries are provided. The system may be configured to receive one or more of audio files corresponding to a voice query and determine, for each of the audio files, whether the audio file is a first type of audio file capable of being processed based on a characteristic of the audio file or a second type of audio file that cannot, and may require further processing in order to recognize the voice query associated with the audio file. The system may process each of the first type of audio files and respond to the associated voice queries. The system may also determine a priority for each of the second type of audio files for further processing of the second type of audio files.