Patents by Inventor Joel Teply
Joel Teply 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: 10964097Abstract: A system and method for capturing an image of a physical space and designing a multidimensional artificial depiction of design option modifications thereto, using a mobile device or computer, using AR. The system includes CR software programs to identify and segment surfaces and objects in the physical and multidimensional artificial spaces; to determine lighting in the spaces, and to map locations into 3D depictions. Also included is a user interface to provide user input and computer feedback, a user control component to change at least two features within the depiction thus generating an overlay of the multidimensional artificial space as to the physical space.Type: GrantFiled: July 13, 2018Date of Patent: March 30, 2021Inventors: Joel Teply, Heather Spalding
-
Publication number: 20210082081Abstract: Computer-implemented methods and systems for image security in computer vision applications are described. A shared secret is stored at an image sensor module and a trusted element. The shared secret includes a device-specific secret value and a definition of a plurality of pixel locations. An image is received at the image sensor module, which generates a watermark based on the secret value and applies the watermark to the image, based on the pixel locations, to create a watermarked image. The watermarked image is received at the trusted element, which validates the watermarked image based on the watermark.Type: ApplicationFiled: September 27, 2016Publication date: March 18, 2021Inventors: Reza R. Derakhshani, Joel Teply, Zikomo Fields, Casey Hughlett
-
Patent number: 10931455Abstract: Computer-implemented methods and systems for image security in computer vision applications are described. A shared secret is stored at an image sensor module and a trusted element. The shared secret includes a device-specific secret value and a definition of a plurality of pixel locations. An image is received at the image sensor module, which generates a watermark based on the secret value and applies the watermark to the image, based on the pixel locations, to create a watermarked image. The watermarked image is received at the trusted element, which validates the watermarked image based on the watermark.Type: GrantFiled: September 27, 2016Date of Patent: February 23, 2021Assignee: EyeVerify Inc.Inventors: Reza R. Derakhshani, Joel Teply, Zikomo Fields, Casey Hughlett
-
Publication number: 20190043246Abstract: A system and method for capturing an image of a physical space and designing a multidimensional artificial depiction of design option modifications thereto, using a mobile device or computer, using AR. The system includes CR software programs to identify and segment surfaces and objects in the physical and multidimensional artificial spaces; to determine lighting in the spaces, and to map locations into 3D depictions. Also included is a user interface to provide user input and computer feedback, a user control component to change at least two features within the depiction thus generating an overlay of the multidimensional artificial space as to the physical space.Type: ApplicationFiled: July 13, 2018Publication date: February 7, 2019Inventors: Joel Teply, Heather Spalding
-
Patent number: 10108871Abstract: Spoof-detection and liveness analysis is performed using a software-based solution on a user device, such as a smartphone having a camera, audio output component (e.g., earpiece), and audio input component (e.g., microphone). One or more audio signals are emitted from the audio output component of the user device, reflect off a target, and are received back at the audio input component of the device. Based on the reflections, a determination is made as to whether the target is comprised of a three-dimensional face-like structure and/or face-like tissue. Using at least this determination, a finding is made as to whether the target is likely to be spoofed, rather than a legitimate, live person.Type: GrantFiled: April 27, 2017Date of Patent: October 23, 2018Assignee: EyeVerify Inc.Inventors: Reza R. Derakhshani, Joel Teply
-
Patent number: 9971920Abstract: This specification describes technologies relating to biometric authentication based on images of the eye. In general, one aspect of the subject matter described in this specification can be embodied in methods that include obtaining images of a subject including a view of an eye. The methods may further include determining a behavioral metric based on detected movement of the eye as the eye appears in a plurality of the images, determining a spatial metric based on a distance from a sensor to a landmark that appears in a plurality of the images each having a different respective focus distance, and determining a reflectance metric based on detected changes in surface glare or specular reflection patterns on a surface of the eye. The methods may further include determining a score based on the behavioral, spatial, and reflectance metrics and rejecting or accepting the one or more images based on the score.Type: GrantFiled: July 2, 2015Date of Patent: May 15, 2018Assignee: EyeVerify LLCInventors: Reza R. Derakhshani, Casey Hughlett, Jeremy Paben, Joel Teply, Toby Rush
-
Publication number: 20180089789Abstract: Computer-implemented methods and systems for image security in computer vision applications are described. A shared secret is stored at an image sensor module and a trusted element. The shared secret includes a device-specific secret value and a definition of a plurality of pixel locations. An image is received at the image sensor module, which generates a watermark based on the secret value and applies the watermark to the image, based on the pixel locations, to create a watermarked image. The watermarked image is received at the trusted element, which validates the watermarked image based on the watermark.Type: ApplicationFiled: September 27, 2016Publication date: March 29, 2018Inventors: Reza R. Derakhshani, Joel Teply, Zikomo Fields, Casey Hughlett
-
Publication number: 20170357868Abstract: Spoof-detection and liveness analysis is performed using a software-based solution on a user device, such as a smartphone having a camera, audio output component (e.g., earpiece), and audio input component (e.g., microphone). One or more audio signals are emitted from the audio output component of the user device, reflect off a target, and are received back at the audio input component of the device. Based on the reflections, a determination is made as to whether the target is comprised of a three-dimensional face-like structure and/or face-like tissue. Using at least this determination, a finding is made as to whether the target is likely to be spoofed, rather than a legitimate, live person.Type: ApplicationFiled: April 27, 2017Publication date: December 14, 2017Inventors: Reza R. Derakhshani, Joel Teply
-
Patent number: 9665784Abstract: Spoof-detection and liveness analysis is performed using a software-based solution on a user device, such as a smartphone having a camera, audio output component (e.g., earpiece), and audio input component (e.g., microphone). One or more audio signals are emitted from the audio output component of the user device, reflect off a target, and are received back at the audio input component of the device. Based on the reflections, a determination is made as to whether the target is comprised of a three-dimensional face-like structure and/or face-like tissue. Using at least this determination, a finding is made as to whether the target is likely to be spoofed, rather than a legitimate, live person.Type: GrantFiled: May 31, 2016Date of Patent: May 30, 2017Assignee: EyeVerify Inc.Inventors: Reza R. Derakhshani, Joel Teply
-
Publication number: 20160371555Abstract: Spoof-detection and liveness analysis is performed using a software-based solution on a user device, such as a smartphone having a camera, audio output component (e.g., earpiece), and audio input component (e.g., microphone). One or more audio signals are emitted from the audio output component of the user device, reflect off a target, and are received back at the audio input component of the device. Based on the reflections, a determination is made as to whether the target is comprised of a three-dimensional face-like structure and/or face-like tissue. Using at least this determination, a finding is made as to whether the target is likely to be spoofed, rather than a legitimate, live person.Type: ApplicationFiled: May 31, 2016Publication date: December 22, 2016Inventors: Reza R. Derakhshani, Joel Teply
-
Publication number: 20160132735Abstract: This specification describes technologies relating to biometric authentication based on images of the eye. In general, one aspect of the subject matter described in this specification can be embodied in methods that include obtaining images of a subject including a view of an eye. The methods may further include determining a behavioral metric based on detected movement of the eye as the eye appears in a plurality of the images, determining a spatial metric based on a distance from a sensor to a landmark that appears in a plurality of the images each having a different respective focus distance, and determining a reflectance metric based on detected changes in surface glare or specular reflection patterns on a surface of the eye.Type: ApplicationFiled: July 2, 2015Publication date: May 12, 2016Inventors: Reza R. Derakhshani, Casey Hughlett, Jeremy Paben, Joel Teply, Toby Rush
-
Patent number: 9104921Abstract: This specification describes technologies relating to biometric authentication based on images of the eye. In general, one aspect of the subject matter described in this specification can be embodied in methods that include obtaining images of a subject including a view of an eye. The methods may further include determining a behavioral metric based on detected movement of the eye as the eye appears in a plurality of the images, determining a spatial metric based on a distance from a sensor to a landmark that appears in a plurality of the images each having a different respective focus distance, and determining a reflectance metric based on detected changes in surface glare or specular reflection patterns on a surface of the eye. The methods may further include determining a score based on the behavioral, spatial, and reflectance metrics and rejecting or accepting the one or more images based on the score.Type: GrantFiled: July 18, 2014Date of Patent: August 11, 2015Assignee: EyeVerify, LLC.Inventors: Reza Derakhshani, Casey Hughlett, Jeremy Paben, Joel Teply, Toby Rush
-
Publication number: 20150193666Abstract: This specification describes technologies relating to biometric authentication based on images of the eye. In general, one aspect of the subject matter described in this specification can be embodied in methods that include obtaining images of a subject including a view of an eye. The methods may further include determining a behavioral metric based on detected movement of the eye as the eye appears in a plurality of the images, determining a spatial metric based on a distance from a sensor to a landmark that appears in a plurality of the images each having a different respective focus distance, and determining a reflectance metric based on detected changes in surface glare or specular reflection patterns on a surface of the eye.Type: ApplicationFiled: July 18, 2014Publication date: July 9, 2015Inventors: Reza DERAKHSHANI, Casey HUGHLETT, Jeremy PABEN, Joel TEPLY, Toby RUSH
-
Patent number: 8787628Abstract: This specification describes technologies relating to biometric authentication based on images of the eye. In general, one aspect of the subject matter described in this specification can be embodied in methods that include obtaining images of a subject including a view of an eye. The methods may further include determining a behavioral metric based on detected movement of the eye as the eye appears in a plurality of the images, determining a spatial metric based on a distance from a sensor to a landmark that appears in a plurality of the images each having a different respective focus distance, and determining a reflectance metric based on detected changes in surface glare or specular reflection patterns on a surface of the eye. The methods may further include determining a score based on the behavioral, spatial, and reflectance metrics and rejecting or accepting the one or more images based on the score.Type: GrantFiled: March 17, 2014Date of Patent: July 22, 2014Assignee: EyeVerify LLCInventors: Reza Derakhshani, Casey Hughlett, Jeremy Paben, Joel Teply, Toby Rush
-
Publication number: 20140198959Abstract: This specification describes technologies relating to biometric authentication based on images of the eye. In general, one aspect of the subject matter described in this specification can be embodied in methods that include obtaining images of a subject including a view of an eye. The methods may further include determining a behavioral metric based on detected movement of the eye as the eye appears in a plurality of the images, determining a spatial metric based on a distance from a sensor to a landmark that appears in a plurality of the images each having a different respective focus distance, and determining a reflectance metric based on detected changes in surface glare or specular reflection patterns on a surface of the eye.Type: ApplicationFiled: March 17, 2014Publication date: July 17, 2014Applicant: EyeVerify LLCInventors: Reza DERAKHSHANI, Casey HUGHLETT, Jeremy PABEN, Joel TEPLY, Toby RUSH
-
Patent number: 8675925Abstract: This specification describes technologies relating to biometric authentication based on images of the eye. In general, one aspect of the subject matter described in this specification can be embodied in methods that include obtaining images of a subject including a view of an eye. The methods may further include determining a behavioral metric based on detected movement of the eye as the eye appears in a plurality of the images, determining a spatial metric based on a distance from a sensor to a landmark that appears in a plurality of the images each having a different respective focus distance, and determining a reflectance metric based on detected changes in surface glare or specular reflection patterns on a surface of the eye. The methods may further include determining a score based on the behavioral, spatial, and reflectance metrics and rejecting or accepting the one or more images based on the score.Type: GrantFiled: October 21, 2013Date of Patent: March 18, 2014Assignee: Eyeverify LLCInventors: Reza Derakhshani, Casey Hughlett, Jeremy Paben, Joel Teply, Toby Rush
-
Publication number: 20140044318Abstract: This specification describes technologies relating to biometric authentication based on images of the eye. In general, one aspect of the subject matter described in this specification can be embodied in methods that include obtaining images of a subject including a view of an eye. The methods may further include determining a behavioral metric based on detected movement of the eye as the eye appears in a plurality of the images, determining a spatial metric based on a distance from a sensor to a landmark that appears in a plurality of the images each having a different respective focus distance, and determining a reflectance metric based on detected changes in surface glare or specular reflection patterns on a surface of the eye. The methods may further include determining a score based on the behavioral, spatial, and reflectance metrics and rejecting or accepting the one or more images based on the score.Type: ApplicationFiled: May 6, 2013Publication date: February 13, 2014Applicant: EyeVerify LLCInventors: Reza Derakhshani, Casey Hughlett, Jeremy Paben, Joel Teply, Toby Rush
-
Publication number: 20140044321Abstract: This specification describes technologies relating to biometric authentication based on images of the eye. In general, one aspect of the subject matter described in this specification can be embodied in methods that include obtaining images of a subject including a view of an eye. The methods may further include determining a behavioral metric based on detected movement of the eye as the eye appears in a plurality of the images, determining a spatial metric based on a distance from a sensor to a landmark that appears in a plurality of the images each having a different respective focus distance, and determining a reflectance metric based on detected changes in surface glare or specular reflection patterns on a surface of the eye. The methods may further include determining a score based on the behavioral, spatial, and reflectance metrics and rejecting or accepting the one or more images based on the score.Type: ApplicationFiled: October 21, 2013Publication date: February 13, 2014Applicant: EyeVerify LLCInventors: Reza Derakhshani, Casey Hughlett, Jeremy Paben, Joel Teply, Toby Rush
-
Patent number: 8437513Abstract: This specification describes technologies relating to biometric authentication based on images of the eye. In general, one aspect of the subject matter described in this specification can be embodied in methods that include obtaining images of a subject including a view of an eye. The methods may further include determining a behavioral metric based on detected movement of the eye as the eye appears in a plurality of the images, determining a spatial metric based on a distance from a sensor to a landmark that appears in a plurality of the images each having a different respective focus distance, and determining a reflectance metric based on detected changes in surface glare or specular reflection patterns on a surface of the eye. The methods may further include determining a score based on the behavioral, spatial, and reflectance metrics and rejecting or accepting the one or more images based on the score.Type: GrantFiled: August 10, 2012Date of Patent: May 7, 2013Assignee: EyeVerify LLCInventors: Reza Derakhshani, Casey Hughlett, Jeremy Paben, Joel Teply, Toby Rush