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公开(公告)号：US20190317079A1
公开(公告)日：2019-10-17
申请号：US16161458
申请日：2018-10-16
Applicant: SIGHTLINE INNOVATION INC.
Inventor： Wallace TRENHOLM , Mark ALEXIUK , Hieu DANG , Siavash MALEKTAJI
Abstract: A system and method for identifying an analyte based on the presence of at least one volatile organic compound (“VOC”) in the analyte. The method includes: receiving image data from a sensor array, the sensor array having been exposed to the analyte, the sensor array including at least one sensor configured to respond to the presence of the at least one VOC in the analyte; processing the image data to derive one or more input image features; and using a trained machine learning classification technique, detecting the at least one VOC and classifying the analyte based on the one or more input image features, the machine learning classification technique trained using one or more reference images of known analytes.
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公开(公告)号：US20180017501A1
公开(公告)日：2018-01-18
申请号：US15648645
申请日：2017-07-13
Applicant: SIGHTLINE INNOVATION INC.
Inventor： Wallace TRENHOLM , Maithili MAVINKURVE , Jason CASSIDY
IPC: G01N21/88 , G01N21/95 , G01N21/956 , G01R31/308 , H01L21/66 , G01R31/28
CPC classification number: G01N21/88 , G01B9/02091 , G01N21/4795 , G01N21/9501 , G01N21/956 , G01N21/95623 , G01N2021/8825 , G01R31/2831 , G01R31/308 , H01L22/12
Abstract: Systems and methods for surface inspection for imaging an object via an optical coherence tomography (OCT) imaging modality are provided. The system includes an OCT imaging module for generating imaging data from a surface under inspection, including: an electromagnetic radiation source for interrogating the object with light; an optical system having an interferometer for generating an interference pattern corresponding to the light backscattered from the object; and a detector for detecting the interference pattern and generating imaging data therefrom; a motion controller device for moving at least one component of the OCT imaging module relative to the object, the motion controller device moving the OCT imaging module such that a surface of the object is within a depth of field of the OCT imaging module; and a computational module for: aggregating the imaging data; and determining the presence or absence of surface defects in the imaging data.
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公开(公告)号：US20190138786A1
公开(公告)日：2019-05-09
申请号：US15997917
申请日：2018-06-05
Applicant: SIGHTLINE INNOVATION INC.
Inventor： Wallace TRENHOLM , Mark ALEXIUK , Hieu DANG , Siavash MALEKTAJI , Kamal DARCHINIMARAGHEH
Abstract: A method and system for analysis of an object of interest in a scene using 3D reconstruction. The method includes: receiving image data comprising a plurality of images captured of the scene, the image data comprising multiple perspectives of the scene; generating at least one reconstructed image by determining three-dimensional structures of the object from the imaging data using a reconstruction technique, the three-dimensional structures comprising depth information of the object; identifying the object from each of the reconstructed images, using a trained machine learning model, by segmenting the object in the reconstructed image, segmentation comprises isolating patterns in the reconstructed image that are classifiable as the object, the machine learning model trained using previous reconstructed multiple perspective images with identified objects; and outputting the analysis of the reconstructed images.
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公开(公告)号：US20190137256A1
公开(公告)日：2019-05-09
申请号：US16006032
申请日：2018-06-12
Applicant: SIGHTLINE INNOVATION INC.
Inventor： Wallace TRENHOLM , Lorenzo PONS
CPC classification number: G01B9/02091 , G01B9/02063 , G01B11/026 , G01B11/2441 , G01S17/88
Abstract: A system and method for surface inspection of an object using optical coherence tomography (OCT) is provided. The method includes determining a surface profile of the object, the surface profile includes one or more regions on a surface of the object; moving the object relative to the OCT scanner head; and for each of the one or more regions on the surface of the object, performing: determining a working distance where the surface of the object at the respective region is within a present depth of field; determining an angle where the respective region is at the determined working distance from an OCT scanner head; directing the OCT scanner head at the determined angle towards the respective region when the respective region is at the determined working distance along the respective angle; and performing an A-scan of the object when the respective region is within the present depth of field.
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公开(公告)号：US20200167656A1
公开(公告)日：2020-05-28
申请号：US16613843
申请日：2018-05-16
Applicant: SIGHTLINE INNOVATION INC.
Inventor： Wallace TRENHOLM , Mark ALEXIUK , Hieu DANG , Siavash MALEKTAJI , Kamal DARCHINIMARAGHEH
Abstract: A system and method for non-destructive optical coherence tomography (OCT) is provided. The system includes: an input interface for receiving OCT data including at least a C-scan; a processing unit executable to detect a feature on a surface or subsurface of the object, trained using a training set and configured to: separate the C-scan into A-scans; using a neural network, successively analyze each A-scan to detect the presence of an A-scan feature associated with the object; separate the C-scan into B-scans; segment each of the B-scans to determine thresholds associated with the object; using a neural network, successively analyze each segmented B-scan to detect the presence of an B-scan feature associated with the object; convert the C-scan to one or more two-dimensional representations; and using a neural network, detect the presence of an C-scan feature associated with the object.
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Patent Agency Ranking
公开(公告)号：US20200003543A1
公开(公告)日：2020-01-02
申请号：US16460628
申请日：2019-07-02
Applicant: SIGHTLINE INNOVATION INC.
Inventor： Wallace TRENHOLM , Lorenzo PONS
Abstract: A system and method for surface inspection of an object using optical coherence tomography (OCT) with anticipatory depth of field adjustment is provided. The method includes determining a present working distance and one or more forward working distances; determining a present depth of field in which the surface of the object is in focus at the location of the present working distance and at as many of the consecutive forward surface locations as determined possible; changing to the present depth of field; performing an A-scan of the object; moving the object such that the scanner head is directed at each of the consecutive forward surface locations determined to be in the present depth of field; and performing an A-scan at each of the consecutive forward surface locations determined to be in the present depth of field.
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公开(公告)号：US20190139214A1
公开(公告)日：2019-05-09
申请号：US16006043
申请日：2018-06-12
Applicant: SIGHTLINE INNOVATION INC.
Inventor： Wallace TRENHOLM , Lorenzo PONS , Mark ALEXIUK , Hieu DANG , Siavash MALEKTAJI , Kamal DARCHINIMARAGHEH
Abstract: A method and system for analysis of interferometric domain optical coherence tomography (OCT) data of an object. The method includes: receiving the OCT data comprising one or more A-scans; successively analyzing each of the one or more A-scans, using a trained feed-forward neural network, to detect one or more features associated with the object by associating A-scan raw data with a descriptor for each of the one or more features, the feed-forward neural network trained using previous A-scans with one or more known features; generating location data associated with the one or more features for localizing the one or more features in the one or more A-scans; and outputting the feature detection and the location data.
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公开(公告)号：US20180003706A1
公开(公告)日：2018-01-04
申请号：US15637168
申请日：2017-06-29
Applicant: SIGHTLINE INNOVATION INC.
Inventor： Wallace TRENHOLM , Maithili MAVINKURVE , Jason CASSIDY
IPC: G01N33/543 , G06N3/02 , B01L3/00 , G01N21/45 , G01B9/02
CPC classification number: G01N33/54373 , B01L3/502715 , B01L3/502761 , B01L2200/10 , B01L2300/0654 , B01L2300/0681 , G01B9/02091 , G01N21/35 , G01N21/45 , G01N21/553 , G01N21/554 , G01N21/65 , G01N21/658 , G01N21/7703 , G01N2021/458 , G01N2021/7779 , G01N2021/7789 , G01N2201/0221 , G01N2201/12 , G06N3/02
Abstract: Systems, methods, and modules for detecting a biomarker in a sample are described. A system for detecting presence or absence of a biomarker in a sample includes: a light source for producing electromagnetic radiation for interrogating the sample; a biosensor module including: a waveguide for guiding the electromagnetic radiation, the waveguide exposed to the sample; and a recognition element affixed to the waveguide and configured to bind to the biomarker; a detector for receiving the electromagnetic radiation from the waveguide and detecting a signal corresponding to an interaction of the electromagnetic radiation with the biomarker bound to the recognition element, in accordance with at least one detection modality; and a computing device for analyzing data related to the signal in order to detect presence or absence of the biomarker in the sample.
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公开(公告)号：US20190137253A1
公开(公告)日：2019-05-09
申请号：US16006039
申请日：2018-06-12
Applicant: SIGHTLINE INNOVATION INC.
Inventor： Wallace TRENHOLM , Lorenzo PONS
Abstract: A system and method for surface inspection of an object using multiplexed optical coherence tomography (OCT) is provided. The method includes moving the object relative to two or more scanner heads along a direction of travel; alternatingly directing a sample beam to each of the two or more scanner heads; and when the sample beam is directed at each respective scanner head, scanning comprising: steering the sample beam from the respective scanner head to an unscanned region on the surface of the object; and performing an A-scan of the object.
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公开(公告)号：US20190019061A1
公开(公告)日：2019-01-17
申请号：US15997966
申请日：2018-06-05
Applicant: SIGHTLINE INNOVATION INC.
Inventor： Wallace TRENHOLM , Mark ALEXIUK , Hieu DANG , Siavash MALEKTAJI , Kamal DARCHINIMARAGHEH
Abstract: A method and system for increasing data quality of a dataset for semi-supervised machine learning analysis. The method includes: receiving known class label information for a portion of the data in the dataset; receiving clustering parameters from a user; determining a data cleanliness factor, and where the data cleanliness factor is below a predetermined cleanliness threshold: assigning data without class label information as a data point to a cluster using the clustering parameters, each cluster having a cluster class label associated with such cluster; and determining a measure of assignment, and where the measure of assignment for each data point is below a predetermined assignment threshold, receiving a class label for such data points, otherwise, assigning the respective cluster class label to each data point with the respective measure of assignment below the predetermined assignment threshold; and otherwise, outputting the dataset with associated class labels for machine learning analysis.
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