Invention Grant
- Patent Title: Systems and methods for product identification using image analysis and trained neural network
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Application No.: US16947142Application Date: 2020-07-20
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Publication No.: US11294952B2Publication Date: 2022-04-05
- Inventor: Yu-Cheng Tsai , Dongming Jiang , Georgiy Goldenberg
- Applicant: CaaStle, Inc.
- Applicant Address: US NY New York
- Assignee: CaaStle, Inc.
- Current Assignee: CaaStle, Inc.
- Current Assignee Address: US NY New York
- Agency: Bookoff McAndrews, PLLC
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06F16/583 ; G06T7/194 ; G06K9/62 ; G06Q30/06

Abstract:
Disclosed are methods, systems, and non-transitory computer-readable medium for analysis of images including wearable items. For example, a method may include obtaining a first set of images, each of the first set of images depicting a product; obtaining a first set of labels associated with the first set of images; training an image segmentation neural network based on the first set of images and the first set of labels; obtaining a second set of images, each of the second set of images depicting a known product; obtaining a second set of labels associated with the second set of images; training an image classification neural network based on the second set of images and the second set of labels; receiving a query image depicting a product that is not yet identified; and performing image segmentation of the query image and identifying the product in the image by performing image analysis.
Public/Granted literature
- US20210248178A1 SYSTEMS AND METHODS FOR PRODUCT IDENTIFICATION USING IMAGE ANALYSIS AND TRAINED NEURAL NETWORK Public/Granted day:2021-08-12
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