Patents by Inventor Christian Georghe

Christian Georghe has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11718114
    Abstract: Embodiments of the present invention provide a method, system and computer program product for templated pattern-based self-directed garment assembly. In an embodiment of the invention, a self-directed garment assembly method includes loading into memory a template of patterns forming a garment and retrieving from memory, at least one data record specifying at least one assembly instruction for assembling the garment from the patterns of the template. Thereafter, the assembly instruction may be embedded in the template adjacent to at least one of the patterns. Finally, the template is printed on a large format printer with the at least one assembly instructions onto fabric selected as a basis for the garment.
    Type: Grant
    Filed: December 4, 2019
    Date of Patent: August 8, 2023
    Assignee: Resonance Companies LLC
    Inventor: Christian Georghe
  • Patent number: 11341360
    Abstract: A unit-of-one pattern creation method for bespoke garment fabrication includes loading into memory a test image of a base garment fitted on a model, processing the test image in a first convolutional neural network to generate different classifications for different portions of the base garment and flattening the different classified portions of the base garment to produce corresponding flattened patterns of the base garment. Thereafter, an image of a unique individual wearing a customer specific garment is acquired and processed in a second recurrent neural network trained with the different classifications of the first convolutional neural network. In response to the receipt of the acquired image in the second recurrent neural network, the second recurrent neural network classifies different portions of the acquired image and flattens the classified different portions of the acquired image in order to produce corresponding flattened patterns for a customized version of the base garment.
    Type: Grant
    Filed: December 3, 2019
    Date of Patent: May 24, 2022
    Assignee: RESONANCE COMPANIES LLC
    Inventor: Christian Georghe
  • Publication number: 20210170770
    Abstract: Embodiments of the present invention provide a method, system and computer program product for templated pattern-based self-directed garment assembly. In an embodiment of the invention, a self-directed garment assembly method includes loading into memory a template of patterns forming a garment and retrieving from memory, at least one data record specifying at least one assembly instruction for assembling the garment from the patterns of the template. Thereafter, the assembly instruction may be embedded in the template adjacent to at least one of the patterns. Finally, the template is printed on a large format printer with the at least one assembly instructions onto fabric selected as a basis for the garment.
    Type: Application
    Filed: December 4, 2019
    Publication date: June 10, 2021
    Inventor: Christian Georghe
  • Publication number: 20210166068
    Abstract: A unit-of-one pattern creation method for bespoke garment fabrication includes loading into memory a test image of a base garment fitted on a model, processing the test image in a first convolutional neural network to generate different classifications for different portions of the base garment and flattening the different classified portions of the base garment to produce corresponding flattened patterns of the base garment. Thereafter, an image of a unique individual wearing a customer specific garment is acquired and processed in a second recurrent neural network trained with the different classifications of the first convolutional neural network. In response to the receipt of the acquired image in the second recurrent neural network, the second recurrent neural network classifies different portions of the acquired image and flattens the classified different portions of the acquired image in order to produce corresponding flattened patterns for a customized version of the base garment.
    Type: Application
    Filed: December 3, 2019
    Publication date: June 3, 2021
    Inventor: Christian Georghe
  • Patent number: 10860908
    Abstract: Embodiments of the present provide a method, system and computer program product for garment labeling by way of digitally engineered pattern garment assembly. In particular, a garment labeling method includes loading into memory a digitally engineered specification of patterns forming a garment and retrieving from memory, at least one data record pertaining to the garment. For example, the data may be a serial number of the garment so as to indicate an authenticity of the garment. Thereafter the data is transformed from the at least one data record into a symbol such as a bar code and more specifically a two-dimensional bar code such as a quick response (QR) code. Then, the symbol may be embedded onto one of the patterns of the template and the digitally engineered specification may printed with the symbol onto fabric selected as a basis for the garment so as to form the unassembled set of patterns forming the garment.
    Type: Grant
    Filed: December 3, 2019
    Date of Patent: December 8, 2020
    Assignee: RESONANCE COMPANIES LLC
    Inventor: Christian Georghe