Patents by Inventor Gabriel Dominguez Conde
Gabriel Dominguez Conde 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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Patent number: 11586714Abstract: A machine trains an artificial intelligence engine to facilitate authentication of a request to verify a user. The machine accesses a reference set of obfuscated geolocations generated from actual geolocations from which a device submitted requests to verify the user. The machine groups the obfuscated geolocations into geographical clusters based on a predetermined cluster radius value and calculates a corresponding representative geolocation for each geographical cluster and a corresponding variance distance from the representative geolocation for each geographical cluster. The machine then generates a reference location score based on the representative geolocations of the geographical clusters and on the variance distances of the geographical clusters. The machine trains an artificial intelligence engine to output that reference location score in response to the reference set being input thereto. The trained artificial intelligence engine may then be provided to one or more devices.Type: GrantFiled: October 27, 2020Date of Patent: February 21, 2023Assignee: Callsign Inc.Inventors: Peter Alexander Foster, Gabriel Dominguez Conde, Yogesh Kumar Jitendra Patel
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Patent number: 11481480Abstract: A device authenticates a request to verify a user. The device accesses a face image that depicts a face of the person and includes a characteristic noise pattern inserted by a camera of the device. The device also accesses a geolocation at which the device captured the face image and inputs the face image and the geolocation into an artificial intelligence engine that outputs a face score, a device score, and a location score. The device next submits the request with the scores to a server machine and obtains an authentication score from the server machine. The device then presents an indication that the request to verify the person is authentic based on a comparison of the obtained authentication score to a threshold authentication score.Type: GrantFiled: December 10, 2021Date of Patent: October 25, 2022Assignee: Callsign Inc.Inventors: Gabriel Dominguez Conde, Yogesh Kumar Jitendra Patel, Peter Alexander Foster
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Publication number: 20220100838Abstract: A device authenticates a request to verify a user. The device accesses a face image that depicts a face of the person and includes a characteristic noise pattern inserted by a camera of the device. The device also accesses a geolocation at which the device captured the face image and inputs the face image and the geolocation into an artificial intelligence engine that outputs a face score, a device score, and a location score. The device next submits the request with the scores to a server machine and obtains an authentication score from the server machine. The device then presents an indication that the request to verify the person is authentic based on a comparison of the obtained authentication score to a threshold authentication score.Type: ApplicationFiled: December 10, 2021Publication date: March 31, 2022Inventors: Gabriel Dominguez Conde, Yogesh Kumar Jitendra Patel, Peter Alexander Foster
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Patent number: 11232184Abstract: A device authenticates a request to verify a user. The device accesses a face image that depicts a face of the person and includes a characteristic noise pattern inserted by a camera of the device. The device also accesses a geolocation at which the device captured the face image and inputs the face image and the geolocation into an artificial intelligence engine that outputs a face score, a device score, and a location score. The device next submits the request with the scores to a server machine and obtains an authentication score from the server machine. The device then presents an indication that the request to verify the person is authentic based on a comparison of the obtained authentication score to a threshold authentication score.Type: GrantFiled: July 1, 2020Date of Patent: January 25, 2022Assignee: Callsign Inc.Inventors: Gabriel Dominguez Conde, Yogesh Kumar Jitendra Patel, Peter Alexander Foster
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Publication number: 20210042399Abstract: A machine trains an artificial intelligence engine to facilitate authentication of a request to verify a user. The machine accesses a reference set of obfuscated geolocations generated from actual geolocations from which a device submitted requests to verify the user. The machine groups the obfuscated geolocations into geographical clusters based on a predetermined cluster radius value and calculates a corresponding representative geolocation for each geographical cluster and a corresponding variance distance from the representative geolocation for each geographical cluster. The machine then generates a reference location score based on the representative geolocations of the geographical clusters and on the variance distances of the geographical clusters. The machine trains an artificial intelligence engine to output that reference location score in response to the reference set being input thereto. The trained artificial intelligence engine may then be provided to one or more devices.Type: ApplicationFiled: October 27, 2020Publication date: February 11, 2021Inventors: Peter Alexander Foster, Gabriel Dominguez Conde, Yogesh Kumar Jitendra Patel
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Patent number: 10853459Abstract: A machine trains an artificial intelligence engine to facilitate authentication of a request to verify a user. The machine accesses a reference set of obfuscated geolocations generated from actual geolocations from which a device submitted requests to verify the user. The machine groups the obfuscated geolocations into geographical clusters based on a predetermined cluster radius value and calculates a corresponding representative geolocation for each geographical cluster and a corresponding variance distance from the representative geolocation for each geographical cluster. The machine then generates a reference location score based on the representative geolocations of the geographical clusters and on the variance distances of the geographical clusters. The machine trains an artificial intelligence engine to output that reference location score in response to the reference set being input thereto. The trained artificial intelligence engine may then be provided to one or more devices.Type: GrantFiled: June 26, 2018Date of Patent: December 1, 2020Assignee: Callsign Inc.Inventors: Peter Alexander Foster, Gabriel Dominguez Conde, Yogesh Kumar Jitendra Patel
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Publication number: 20200334348Abstract: A device authenticates a request to verify a user. The device accesses a face image that depicts a face of the person and includes a characteristic noise pattern inserted by a camera of the device. The device also accesses a geolocation at which the device captured the face image and inputs the face image and the geolocation into an artificial intelligence engine that outputs a face score, a device score, and a location score. The device next submits the request with the scores to a server machine and obtains an authentication score from the server machine. The device then presents an indication that the request to verify the person is authentic based on a comparison of the obtained authentication score to a threshold authentication score.Type: ApplicationFiled: July 1, 2020Publication date: October 22, 2020Inventors: Gabriel Dominguez Conde, Yogesh Kumar Jitendra Patel, Peter Alexander Foster
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Patent number: 10740448Abstract: A device authenticates a request to user. The device accesses a face image that depicts a face of the person and includes a characteristic noise pattern inserted by a camera of the device. The device also accesses a geolocation which the device captured the face image and puts the face image and the geolocation into an artificial intelligence engine that outputs a face score, device score, and a location score. The device next submits the request with the scores to a server machine and obtains an authentication score from the server machine. The device then presents an indication that the request to verify the person is authentic based on a comparison of the obtained authentication score to a threshold authentication score.Type: GrantFiled: June 26, 2018Date of Patent: August 11, 2020Assignee: Callsign Inc.Inventors: Gabriel Domínguez Conde, Yogesh Kumar Jitendra Patel, Peter Alexander Foster
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Publication number: 20190392128Abstract: A device authenticates a request to user. The device accesses a face image that depicts a face of the person and includes a characteristic noise pattern inserted by a camera of the device. The device also accesses a geolocation which the device captured the face image and puts the face image and the geolocation into an artificial intelligence engine that outputs a face score, device score, and a location score. The device next submits the request with the scores to a server machine and obtains an authentication score from the server machine. The device then presents an indication that the request to verify the person is authentic based on a comparison of the obtained authentication score to a threshold authentication score.Type: ApplicationFiled: June 26, 2018Publication date: December 26, 2019Inventors: Gabriel Dominguez Conde, Yogesh Kumar Jitendra Patel, Peter Alexander Foster
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Publication number: 20190392122Abstract: A machine trains an artificial intelligence engine to facilitate authentication of a request to verify a user. The machine accesses a reference set of obfuscated geolocations generated from actual geolocations from which a device submitted requests to verify the user. The machine groups the obfuscated geolocations into geographical clusters based on a predetermined cluster radius value and calculates a corresponding representative geolocation for each geographical cluster and a corresponding variance distance from the representative geolocation for each geographical cluster. The machine then generates a reference location score based on the representative geolocations of the geographical clusters and on the variance distances of the geographical clusters. The machine trains an artificial intelligence engine to output that reference location score in response to the reference set being input thereto. The trained artificial intelligence engine may then be provided to one or more devices.Type: ApplicationFiled: June 26, 2018Publication date: December 26, 2019Inventors: Peter Alexander Foster, Gabriel Dominguez Conde, Yogesh Kumar Jitendra Patel
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Patent number: 8472528Abstract: The invention relates to a method for marking a digital document, especially a digital image, with a digital watermark for the purpose of manipulation recognition while inserting an integrity information and at least one multibit message.Type: GrantFiled: December 14, 2007Date of Patent: June 25, 2013Assignee: Tredess 2010, S.L.Inventors: José Luis Fernandez Carnero, Santiago Rey Requejo, Fernando Perez Gonzales, Jorge Rocafort Cimadevila, Pedro Comesaña Alfaro, Luis Perez Freire, Carlos Mosquera Nartallo, Gabriel Dominguez Conde
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Publication number: 20100045794Abstract: The invention relates to a method for marking a digital document, especially a digital image, with a digital watermark for the purpose of manipulation recognition while inserting an integrity information and at least one multibit message.Type: ApplicationFiled: December 14, 2007Publication date: February 25, 2010Applicant: TREDESS 2010, S.L.Inventors: José-Luis Fernandez Carnero, Santiago Rey Requejo, Fernando Perez Gonzales, Jorge Rocafort Cimadevila, Pedro Comesana Alfaro, Luis Perez Freire, Carlos Mosquera Nartallo, Gabriel Dominguez Conde