Patents by Inventor Madirakshi Das
Madirakshi Das 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).
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System and method for predictive curation, production infrastructure, and personal content assistant
Patent number: 11947588Abstract: Data points, calendar entries, trends, and behavioral patterns may be used to predict and pre-emptively build digital and printable products with selected collections of images without the user's active participation. The collections are selected from files on the user's device, cloud-based photo library, or other libraries shared among other individuals and grouped into thematic products. Based on analysis of the user's collections and on-line behaviors, the system may estimate types and volumes of potential media-centric products, and the resources needed for producing and distributing such media-centric products for a projected period of time. A user interface may take the form of a “virtual curator”, which is a graphical or animated persona for augmenting and managing interactions between the user and the system managing the user's stored media assets. The virtual curator can assume one of many personas with each user and can interact with the user via text/audio messaging.Type: GrantFiled: December 18, 2019Date of Patent: April 2, 2024Assignee: Kodak Alaris Inc.Inventors: Joseph A. Manico, Young No, Madirakshi Das, Alexander C. Loui -
Publication number: 20230410180Abstract: Embodiments of the present disclosure a method for determining product relevancy including extracting metadata from an image file of a digital image collection, the metadata being indicative of at least one feature of the image file. The method includes creating an input profile corresponding to the metadata extracted from the image files of the digital image collection. The method includes comparing the input profile to a product profile, the product profile having one or more rules corresponding to a consumer product, wherein the rules are indicative of the requirements of the product. The method includes determining a match score, the match score indicative of a relevancy of the product profile to the input profile such that a high relevancy correlates to a consumer product that is suited to the input profile and a low relevancy correlates to the consumer product that is not suited to the input profile.Type: ApplicationFiled: August 28, 2023Publication date: December 21, 2023Applicant: Kodak Alaris Inc.Inventors: Alexander Loui, Madirakshi Das
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Publication number: 20230360103Abstract: Embodiments of the present disclosure a method for determining product relevancy including extracting metadata from an image file of a digital image collection, the metadata being indicative of at least one feature of the image file. The method includes creating an input profile corresponding to the metadata extracted from the image files of the digital image collection. The method includes comparing the input profile to a product profile, the product profile having one or more rules corresponding to a consumer product, wherein the rules are indicative of the requirements of the product. The method includes determining a match score, the match score indicative of a relevancy of the product profile to the input profile such that a high relevancy correlates to a consumer product that is suited to the input profile and a low relevancy correlates to the consumer product that is not suited to the input profile.Type: ApplicationFiled: July 12, 2023Publication date: November 9, 2023Applicant: Kodak Alaris Inc.Inventors: Alexander Louis, Madirakshi Das
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Patent number: 11741522Abstract: Embodiments of the present disclosure a method for determining product relevancy including extracting metadata from an image file of a digital image collection, the metadata being indicative of at least one feature of the image file. The method includes creating an input profile corresponding to the metadata extracted from the image files of the digital image collection. The method includes comparing the input profile to a product profile, the product profile having one or more rules corresponding to a consumer product, wherein the rules are indicative of the requirements of the product. The method includes determining a match score, the match score indicative of a relevancy of the product profile to the input profile such that a high relevancy correlates to a consumer product that is suited to the input profile and a low relevancy correlates to the consumer product that is not suited to the input profile.Type: GrantFiled: December 30, 2016Date of Patent: August 29, 2023Assignee: KODAK ALARIS, INC.Inventors: Alexander Loui, Madirakshi Das
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SYSTEM AND METHOD FOR PREDICTIVE CURATION, PRODUCTION INFRASTRUCTURE, AND PERSONAL CONTENT ASSISTANT
Publication number: 20220414418Abstract: Described herein are systems and methods that utilize data points, calendar entries, trends, behavioral patterns to predict and pre-emptively build digital and printable products with selected collections of images without the user's active participation. Based on analysis of a user's collections and online behaviors, the system may estimate types and volumes of potential media-centric products, and the resources needed for producing and distributing such media-centric products for a projected period of time. Embodiments of the system comprise a user interface that takes the form of a “virtual curator,” which is a graphical or animated persona for augmenting and managing interactions between the user and the system managing the user's stored media assets.Type: ApplicationFiled: August 25, 2022Publication date: December 29, 2022Applicant: Kodak Alaris Inc.Inventors: Kenneth Ruck, Joseph A. Manico, David Kloosterman, Alexander C. Loui, Madirakshi Das -
System and method for predictive curation, production infrastructure, and personal content assistant
Patent number: 11429832Abstract: Described herein is a system and method for predictive curation, and production infrastructure. In certain embodiments, the system includes a user interface, which may take the form of a “virtual curator,” a graphical or animated persona for augmenting and managing interactions between the user and the system managing the user's stored media assets. The virtual curator can assume one of many personas, as appropriate, with each user. Embodiments of the system leverage data points, calendar entries, trends, behavioral patterns to predict and pre-emptively build digital and printable products with selected collections of images without the user's active participation.Type: GrantFiled: June 1, 2017Date of Patent: August 30, 2022Assignee: KODAK ALARIS INC.Inventors: Kenneth Ruck, Joseph A. Manico, David Kloosterman, Alexander C. Loui, Madirakshi Das -
Publication number: 20220004573Abstract: A system that is capable of generating a multiplicity of representations from a set of multimedia objects, each with a potentially different form, is disclosed. In addition, a system that is capable of generating representations that include thematic groupings in addition to the traditional purely sequential groupings is disclosed. Analysis of metadata to generate derived metadata creates a more comprehensive repository of information about media assets. Using the abundance of metadata, embodiments of the methods disclosed teach uniquely grouping and prioritizing media assets into a storyboard, which is in turn mapped onto view-based representations based on a selected output modality.Type: ApplicationFiled: September 22, 2021Publication date: January 6, 2022Applicant: Kodak Alaris, Inc.Inventors: Mark D. Wood, Madirakshi Das, Peter O. Stubler
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Publication number: 20210365490Abstract: A method for ranking events in media collections includes designating a media collection, using a processor to cluster the media collection items into a hierarchical event structure, using the processor to identify and count visually similar sub-events within each event in the hierarchical event structure, using the processor to determine a ranking of events based on the count of sub-events within each event, and associating the determined ranking with each event in the media collection.Type: ApplicationFiled: August 2, 2021Publication date: November 25, 2021Applicant: Kodak Alaris Inc.Inventors: Madirakshi Das, Alexander C. Loui
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Patent number: 11170037Abstract: A system that is capable of generating a multiplicity of representations from a set of multimedia objects, each with a potentially different form, is disclosed. In addition, a system that is capable of generating representations that include thematic groupings in addition to the traditional purely sequential groupings is disclosed. Analysis of metadata to generate derived metadata creates a more comprehensive repository of information about media assets. Using the abundance of metadata, embodiments of the methods disclosed teach uniquely grouping and prioritizing media assets into a storyboard, which is in turn mapped onto view-based representations based on a selected output modality.Type: GrantFiled: June 11, 2015Date of Patent: November 9, 2021Assignee: KODAK ALARIS INC.Inventors: Mark D. Wood, Madirakshi Das, Peter O. Stubler
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Publication number: 20210286339Abstract: A system and method for performing real-time quality inspection of objects is disclosed. The system and method include a transport to move objects being inspected, allowing the inspection to be performed in-line. At least one optical acquisition unit is provided that captured optical images of the objects being inspected. The captured optical images are matched to CAD models of objects, and the matched CAD model is extracted. A laser with an illumination light beam has a wavelength in the violet or ultraviolet range then conducts scans of the objects, which are formed into three-dimensional point clouds. The point clouds are compared to the extracted CAD models for each object, where CTF are compared to user input or CAD model information and the object is determined to be acceptable or defective based on the extent of deviation between the point cloud and the CAD model.Type: ApplicationFiled: June 1, 2021Publication date: September 16, 2021Applicant: KODAK ALARIS INC.Inventors: Bruce LINK, Robert W. JOHNSON, Jose Zvietcovich ZEGARRA, Peter O. STUBLER, Mark BARTON, Frank R. BROCKLER, Michael S. AXMAN, Madirakshi DAS, Gabor J. FERENCZ
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Patent number: 11080318Abstract: A method for ranking events in media collections includes designating a media collection, using a processor to cluster the media collection items into a hierarchical event structure, using the processor to identify and count visually similar sub-events within each event in the hierarchical event structure, using the processor to determine a ranking of events based on the count of sub-events within each event, and associating the determined ranking with each event in the media collection.Type: GrantFiled: June 20, 2014Date of Patent: August 3, 2021Assignee: KODAK ALARIS INC.Inventors: Madirakshi Das, Alexander C. Loui
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Patent number: 11042146Abstract: A system and method for performing real-time quality inspection of objects is disclosed. The system and method include a transport to move objects being inspected, allowing the inspection to be performed in-line. At least one optical acquisition unit is provided that captured optical images of the objects being inspected. The captured optical images are matched to CAD models of objects, and the matched CAD model is extracted. A laser with an illumination light beam has a wavelength in the violet or ultraviolet range then conducts scans of the objects, which are formed into three-dimensional point clouds. The point clouds are compared to the extracted CAD models for each object, where CTF are compared to user input or CAD model information and the object is determined to be acceptable or defective based on the extent of deviation between the point cloud and the CAD model.Type: GrantFiled: May 2, 2019Date of Patent: June 22, 2021Assignee: KODAK ALARIS INC.Inventors: Bruce A. Link, Robert W. Johnson, Jose Zvietcovich Zegarra, Peter O. Stubler, Mark Barton, Frank R. Brockler, Michael S. Axman, Madirakshi Das, Gabor J. Ferencz, Jr., Erik Garcell
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SYSTEM AND METHOD FOR PREDICTIVE CURATION, PRODUCTION INFRASTRUCTURE, AND PERSONAL CONTENT ASSISTANT
Publication number: 20200125921Abstract: Data points, calendar entries, trends, and behavioral patterns may be used to predict and pre-emptively build digital and printable products with selected collections of images without the user's active participation. The collections are selected from files on the user's device, cloud-based photo library, or other libraries shared among other individuals and grouped into thematic products. Based on analysis of the user's collections and on-line behaviors, the system may estimate types and volumes of potential media-centric products, and the resources needed for producing and distributing such media-centric products for a projected period of time. A user interface may take the form of a “virtual curator”, which is a graphical or animated persona for augmenting and managing interactions between the user and the system managing the user's stored media assets. The virtual curator can assume one of many personas with each user and can interact with the user via text/audio messaging.Type: ApplicationFiled: December 18, 2019Publication date: April 23, 2020Applicant: Kodak Alaris Inc.Inventors: Joseph A. Manico, Young No, Madirakshi Das, Alexander C. Loui -
System and method for predictive curation, production infrastructure, and personal content assistant
Patent number: 10628730Abstract: Data points, calendar entries, trends, behavioral patterns may be used to predict and pre-emptively build digital and printable products with selected collections of images without the user's active participation. The collections are selected from files on the user's device, cloud-based photo library, or other libraries shared among other individuals and grouped into thematic products. Based on analysis of the user's collections and on-line behaviors, the system may estimate types and volumes of potential media-centric products, and the resources needed for producing and distributing such media-centric products for a projected period of time. A user interface may take the form of a “virtual curator”, which is a graphical or animated persona for augmenting and managing interactions between the user and the system managing the user's stored media assets. The virtual curator can assume one of many personas, as appropriate, with each user.Type: GrantFiled: June 1, 2017Date of Patent: April 21, 2020Assignee: KODAK ALARIS INC.Inventors: James Whritenor, Mark Wood, Madirakshi Das, Joseph A. Manico, Peter Stubler -
System and method for predictive curation, production infrastructure, and personal content assistant
Patent number: 10586146Abstract: Data points, calendar entries, trends, behavioral patterns may be used to predict and pre-emptively build digital and printable products with selected collections of images without the user's active participation. The collections are selected from files on the user's device, cloud-based photo library, or other libraries shared among other individuals and grouped into thematic products. Based on analysis of the user's collections and on-line behaviors, the system may estimate types and volumes of potential media-centric products, and the resources needed for producing and distributing such media-centric products for a projected period of time. A user interface may take the form of a “virtual curator”, which is a graphical or animated persona for augmenting and managing interactions between the user and the system managing the user's stored media assets. The virtual curator can assume one of many personas, as appropriate, with each user.Type: GrantFiled: June 1, 2017Date of Patent: March 10, 2020Assignee: KODAK ALARIS INC.Inventors: James Whritenor, Mark Wood, Madirakshi Das, Joseph A. Manico, Peter Stubler -
System and method for predictive curation, production infrastructure, and personal content assistant
Patent number: 10546229Abstract: Data points, calendar entries, trends, behavioral patterns may be used to predict and pre-emptively build digital and printable products with selected collections of images without the user's active participation. The collections are selected from files on the user's device, cloud-based photo library, or other libraries shared among other individuals and grouped into thematic products. Based on analysis of the user's collections and on-line behaviors, the system may estimate types and volumes of potential media-centric products, and the resources needed for producing and distributing such media-centric products for a projected period of time. A user interface may take the form of a “virtual curator”, which is a graphical or animated persona for augmenting and managing interactions between the user and the system managing the user's stored media assets. The virtual curator can assume one of many personas, as appropriate, with each user.Type: GrantFiled: June 1, 2017Date of Patent: January 28, 2020Assignee: KODAK ALARIS INC.Inventors: Joseph A. Manico, Young No, Madirakshi Das, Alexander C. Loui -
Publication number: 20190258225Abstract: A system and method for performing real-time quality inspection of objects is disclosed. The system and method include a transport to move objects being inspected, allowing the inspection to be performed in-line. At least one optical acquisition unit is provided that captured optical images of the objects being inspected. The captured optical images are matched to CAD models of objects, and the matched CAD model is extracted. A laser with an illumination light beam has a wavelength in the violet or ultraviolet range then conducts scans of the objects, which are formed into three-dimensional point clouds. The point clouds are compared to the extracted CAD models for each object, where CTF are compared to user input or CAD model information and the object is determined to be acceptable or defective based on the extent of deviation between the point cloud and the CAD model.Type: ApplicationFiled: May 2, 2019Publication date: August 22, 2019Applicant: KODAK ALARIS INC.Inventors: Bruce A. LINK, Robert W. JOHNSON, Jose Zvietcovich ZEGARRA, Peter O. STUBLER, Mark BARTON, Frank R. BROCKLER, Michael S. AXMAN, Madirakshi DAS, Gabor J. FERENCZ, JR.
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SYSTEM AND METHOD FOR PREDICTIVE CURATION, PRODUCTION INFRASTRUCTURE, AND PERSONAL CONTENT ASSISTANT
Publication number: 20170372192Abstract: Data points, calendar entries, trends, behavioral patterns may be used to predict and pre-emptively build digital and printable products with selected collections of images without the user's active participation. The collections are selected from files on the user's device, cloud-based photo library, or other libraries shared among other individuals and grouped into thematic products. Based on analysis of the user's collections and on-line behaviors, the system may estimate types and volumes of potential media-centric products, and the resources needed for producing and distributing such media-centric products for a projected period of time. A user interface may take the form of a “virtual curator”, which is a graphical or animated persona for augmenting and managing interactions between the user and the system managing the user's stored media assets. The virtual curator can assume one of many personas, as appropriate, with each user.Type: ApplicationFiled: June 1, 2017Publication date: December 28, 2017Applicant: Kodak Alaris Inc.Inventors: James WHRITENOR, Mark Wood, Madirakshi Das, Joseph A. Manico, Peter Stubler -
SYSTEM AND METHOD FOR PREDICTIVE CURATION, PRODUCTION INFRASTRUCTURE, AND PERSONAL CONTENT ASSISTANT
Publication number: 20170352083Abstract: Data points, calendar entries, trends, behavioral patterns may be used to predict and pre-emptively build digital and printable products with selected collections of images without the user's active participation. The collections are selected from files on the user's device, cloud-based photo library, or other libraries shared among other individuals and grouped into thematic products. Based on analysis of the user's collections and on-line behaviors, the system may estimate types and volumes of potential media-centric products, and the resources needed for producing and distributing such media-centric products for a projected period of time. A user interface may take the form of a “virtual curator”, which is a graphical or animated persona for augmenting and managing interactions between the user and the system managing the user's stored media assets. The virtual curator can assume one of many personas, as appropriate, with each user.Type: ApplicationFiled: June 1, 2017Publication date: December 7, 2017Applicant: Kodak Alaris Inc.Inventors: Kenneth Ruck, Joseph A. Manico, David Kloosterman, Alexander C. Loui, Madirakshi Das -
SYSTEM AND METHOD FOR PREDICTIVE CURATION, PRODUCTION INFRASTRUCTURE, AND PERSONAL CONTENT ASSISTANT
Publication number: 20170351417Abstract: Data points, calendar entries, trends, behavioral patterns may be used to predict and pre-emptively build digital and printable products with selected collections of images without the user's active participation. The collections are selected from files on the user's device, cloud-based photo library, or other libraries shared among other individuals and grouped into thematic products. Based on analysis of the user's collections and on-line behaviors, the system may estimate types and volumes of potential media-centric products, and the resources needed for producing and distributing such media-centric products for a projected period of time. A user interface may take the form of a “virtual curator”, which is a graphical or animated persona for augmenting and managing interactions between the user and the system managing the user's stored media assets. The virtual curator can assume one of many personas, as appropriate, with each user.Type: ApplicationFiled: June 1, 2017Publication date: December 7, 2017Applicant: Kodak Alaris Inc.Inventors: Joseph A. Manico, Young No, Madirakshi Das, Alexander C. Loui