- Patent Title: Detecting one or more objects in an image, or sequence of images, and determining a category and one or more descriptors for each of the one or more objects, generating synthetic training data, and training a neural network with the synthetic training data
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Application No.: US16138918Application Date: 2018-09-21
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Publication No.: US10915730B2Publication Date: 2021-02-09
- Inventor: Leslie Karpas , Francis Bitonti , Azam Khan
- Applicant: LexSet.ai LLC
- Applicant Address: US NY Brooklyn
- Assignee: LexSet.ai LLC
- Current Assignee: LexSet.ai LLC
- Current Assignee Address: US NY Brooklyn
- Agency: Fogg & Powers LLC
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T19/20 ; G06N3/08 ; G06T7/13 ; G06T7/73 ; G06T7/80 ; G06K9/62 ; G06N3/04 ; G06F30/23

Abstract:
In an embodiment, an image-capture system, includes an image-capture device and computing circuitry. The image-capture device is configured to capture an image of a region of space that includes an object. And the computing circuitry is coupled to the image-capture device and is configured to detect a representation of the object in the image, to determine a representation of a boundary of the detected representation, to provide image information corresponding to the detected representation to an image-analysis system, to receive, from the image-analysis system, an identifier of a category to which the object belongs, and a descriptor of the object, and to generate a representation of a list that includes the identifier and the descriptor.
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