Patents by Inventor Martin Kutter
Martin Kutter 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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Publication number: 20230326279Abstract: The present application concerns the visual identification of materials or documents for tracking or authentication purposes. It describes methods to automatically authenticate an object by comparing some object images with reference images, the object images being characterized by the fact that visual elements used for comparison are non-disturbing for the naked eye. In some described approaches it provides the operator with visible features to locate the area to be imaged.Type: ApplicationFiled: June 13, 2023Publication date: October 12, 2023Applicant: ALPVISION S.A.Inventors: Celine DI VENUTO DAYER, V, Martin KUTTER, Frederic JORDAN
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Patent number: 11721153Abstract: The present application concerns the visual identification of materials or documents for tracking or authentication purposes. It describes methods to automatically authenticate an object by comparing some object images with reference images, the object images being characterized by the fact that visual elements used for comparison are non-disturbing for the naked eye. In some described approaches it provides the operator with visible features to locate the area to be imaged. It also proposes ways for real-time implementation enabling user friendly detection using mobile devices like smart phones.Type: GrantFiled: February 23, 2021Date of Patent: August 8, 2023Assignee: ALPVISION S.A.Inventors: Celine Di Venuto Dayer, V, Martin Kutter, Frederic Jordan
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Publication number: 20230080164Abstract: A machine learning system may automatically produce classifier algorithms and configuration parameters by selecting them into a set of predetermined unitary algorithms and associated parametrization values. Multiple digital representations of input object items may be produced by varying the position and orientation of the object to be classified and/or of the sensor to capture a digital representation of the object, and/or by varying a physical environment parameter which changes the digital representation capture of the object by the sensor. A robot arm or a conveyor may vary the object and/or the sensor positions and orientations. The machine learning system may employ genetic programming to facilitate the production of classifiers suitable for the classification of multiple digital representations of input object items.Type: ApplicationFiled: September 13, 2022Publication date: March 16, 2023Applicant: ALPVISION S.A.Inventors: Frederic JORDAN, Nicolas RUDAZ, Yves DELACRETAZ, Martin KUTTER
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Patent number: 11461582Abstract: A machine learning system may automatically produce classifier algorithms and configuration parameters by selecting them into a set of predetermined unitary algorithms and associated parametrization values. Multiple digital representations of input object items may be produced by varying the position and orientation of the object to be classified and/or of the sensor to capture a digital representation of the object, and/or by varying a physical environment parameter which changes the digital representation capture of the object by the sensor. A robot arm or a conveyor may vary the object and/or the sensor positions and orientations. The machine learning system may employ generic programming to facilitate the production of classifiers suitable for the classification of multiple digital representations of input object items.Type: GrantFiled: December 20, 2018Date of Patent: October 4, 2022Assignee: ALPVISION S.A.Inventors: Frederic Jordan, Nicolas Rudaz, Yves Delacretaz, Martin Kutter
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Publication number: 20210334657Abstract: A Biological Neural Network (BNN) core unit comprising a neural cell culture, an input stimulation unit, an output readout unit may be controlled through its various life cycles to provide data processing functionality. An automation system comprising an environmental and chemical controller unit adapted to operate with the BNN stimulation and readout data interfaces facilitates the monitoring and adaptation of the BNN core unit parameters. Pre-processing and post-processing of the BNN interface signals may further facilitate the training and reinforcement learning by the BNN. Multiple BNN core units may also be assembled together as a stack.Type: ApplicationFiled: September 8, 2019Publication date: October 28, 2021Applicant: ALPVISION S.A.Inventors: Frederic JORDAN, Martin KUTTER, Yves DELACRETAZ
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Publication number: 20210183049Abstract: The present application concerns the visual identification of materials or documents for tracking or authentication purposes. It describes methods to automatically authenticate an object by comparing some object images with reference images, the object images being characterized by the fact that visual elements used for comparison are non-disturbing for the naked eye. In some described approaches it provides the operator with visible features to locate the area to be imaged. It also proposes ways for real-time implementation enabling user friendly detection using mobile devices like smart phones.Type: ApplicationFiled: February 23, 2021Publication date: June 17, 2021Applicant: ALPVISION S.A.Inventors: Celine DI VENUTO DAYER, V, Martin KUTTER, Frederic JORDAN
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Patent number: 10964010Abstract: The present application concerns the visual identification of materials or documents for tracking or authentication purposes. It describes methods to automatically authenticate an object by comparing some object images with reference images, the object images being characterized by the fact that visual elements used for comparison are non-disturbing for the naked eye. In some described approaches it provides the operator with visible features to locate the area to be imaged. It also proposes ways for real-time implementation enabling user friendly detection using mobile devices like smart phones.Type: GrantFiled: May 3, 2019Date of Patent: March 30, 2021Assignee: ALPVISION S.A.Inventors: Celine Di Venuto Dayer, V, Martin Kutter, Frederic Jordan
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Publication number: 20200342259Abstract: A machine learning system may automatically produce classifier algorithms and configuration parameters by selecting them into a set of predetermined unitary algorithms and associated parametrization values. Multiple digital representations of input object items may be produced by varying the position and orientation of the object to be classified and/or of the sensor to capture a digital representation of the object, and/or by varying a physical environment parameter which changes the digital representation capture of the object by the sensor. A robot arm or a conveyor may vary the object and/or the sensor positions and orientations. The machine learning system may employ genetic programming to facilitate the production of classifiers suitable for the classification of multiple digital representations of input object items.Type: ApplicationFiled: December 20, 2018Publication date: October 29, 2020Applicant: ALPVISION S.A.Inventors: Frederic JORDAN, Nicolas RUDAZ, Yves DELACRETAZ, Martin KUTTER
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Patent number: 10789463Abstract: New authentication features are proposed that are visible, can be authenticated with a mobile equipment and yet are challenging to counterfeit. In a possible embodiment, the surface of the authentication feature may have three-dimensional characteristics, which can be recognized by a handheld camera, such as a smartphone camera, while it cannot be easily reproduced by a simple scan and print procedure. In a further possible embodiment, at least two different viewpoints of the authentication feature may be acquired using a smartphone camera and the resulting images may be analyzed using the smartphone processor to identify the three-dimensional characteristics of the authentication feature. The manufacturing of the feature may be performed at a low cost by embossing the three dimensional structure on a surface. The authentication feature may be carried by a self-adhesive label or directly embedded on the product packaging.Type: GrantFiled: May 21, 2018Date of Patent: September 29, 2020Assignee: ALPVISION S.A.Inventors: Martin Kutter, Fred Jordan
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Publication number: 20190340748Abstract: The present application concerns the visual identification of materials or documents for tracking or authentication purposes. It describes methods to automatically authenticate an object by comparing some object images with reference images, the object images being characterized by the fact that visual elements used for comparison are non-disturbing for the naked eye. In some described approaches it provides the operator with visible features to locate the area to be imaged. It also proposes ways for real-time implementation enabling user friendly detection using mobile devices like smart phones.Type: ApplicationFiled: May 3, 2019Publication date: November 7, 2019Applicant: ALPVISION S.A.Inventors: Celine DI VENUTO DAYER, V, Martin KUTTER, Frederic JORDAN
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Patent number: 10332247Abstract: The present application concerns the visual identification of materials or documents for tracking or authentication purposes. It describes methods to automatically authenticate an object by comparing some object images with reference images, the object images being characterized by the fact that visual elements used for comparison are non-disturbing for the naked eye. In some described approaches it provides the operator with visible features to locate the area to be imaged. It also proposes ways for real-time implementation enabling user friendly detection using mobile devices like smart phones.Type: GrantFiled: June 14, 2017Date of Patent: June 25, 2019Assignee: ALPVISION, S.A.Inventors: Celine Di Venuto Dayer, V, Martin Kutter, Frederic Jordan
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Publication number: 20180268214Abstract: New authentication features are proposed that are visible, can be authenticated with a mobile equipment and yet are challenging to counterfeit. In a possible embodiment, the surface of the authentication feature may have three-dimensional characteristics, which can be recognized by a handheld camera, such as a smartphone camera, while it cannot be easily reproduced by a simple scan and print procedure. In a further possible embodiment, at least two different viewpoints of the authentication feature may be acquired using a smartphone camera and the resulting images may be analyzed using the smartphone processor to identify the three-dimensional characteristics of the authentication feature. The manufacturing of the feature may be performed at a low cost by embossing the three dimensional structure on a surface. The authentication feature may be carried by a self-adhesive label or directly embedded on the product packaging.Type: ApplicationFiled: May 21, 2018Publication date: September 20, 2018Applicant: ALPVISION S.AInventors: Martin KUTTER, Fred JORDAN
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Patent number: 10019627Abstract: New authentication features are proposed that are visible, can be authenticated with a mobile equipment and yet are challenging to counterfeit. In a possible embodiment, the surface of the authentication feature may have three-dimensional characteristics, which can be recognized by a handheld camera, such as a smartphone camera, while it cannot be easily reproduced by a simple scan and print procedure. In a further possible embodiment, at least two different viewpoints of the authentication feature may be acquired using a smartphone camera and the resulting images may be analyzed using the smartphone processor to identify the three-dimensional characteristics of the authentication feature. The manufacturing of the feature may be performed at a low cost by embossing the three dimensional structure on a surface. The authentication feature may be carried by a self-adhesive label or directly embedded on the product packaging.Type: GrantFiled: November 8, 2016Date of Patent: July 10, 2018Assignee: ALPVISION S.A.Inventors: Martin Kutter, Fred Jordan
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Publication number: 20170286769Abstract: The present application concerns the visual identification of materials or documents for tracking or authentication purposes. It describes methods to automatically authenticate an object by comparing some object images with reference images, the object images being characterized by the fact that visual elements used for comparison are non-disturbing for the naked eye. In some described approaches it provides the operator with visible features to locate the area to be imaged. It also proposes ways for real-time implementation enabling user friendly detection using mobile devices like smart phones.Type: ApplicationFiled: June 14, 2017Publication date: October 5, 2017Applicant: ALPVISION S.A.Inventors: Celine DI VENUTO DAYER, V, Martin KUTTER, Frederic JORDAN
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Patent number: 9710902Abstract: The present application concerns the visual identification of materials or documents for tracking or authentication purposes. It describes methods to automatically authenticate an object by comparing some object images with reference images, the object images being characterized by the fact that visual elements used for comparison are non-disturbing for the naked eye. In some described approaches it provides the operator with visible features to locate the area to be imaged. It also proposes ways for real-time implementation enabling user friendly detection using mobile devices like smart phones.Type: GrantFiled: June 27, 2016Date of Patent: July 18, 2017Assignee: ALPVISION S.A.Inventors: Celine Di Venuto Dayer, V, Martin Kutter, Frederic Jordan
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Publication number: 20170132465Abstract: New authentication features are proposed that are visible, can be authenticated with a mobile equipment and yet are challenging to counterfeit. In a possible embodiment, the surface of the authentication feature may have three-dimensional characteristics, which can be recognized by a handheld camera, such as a smartphone camera, while it cannot be easily reproduced by a simple scan and print procedure. In a further possible embodiment, at least two different viewpoints of the authentication feature may be acquired using a smartphone camera and the resulting images may be analyzed using the smartphone processor to identify the three-dimensional characteristics of the authentication feature. The manufacturing of the feature may be performed at a low cost by embossing the three dimensional structure on a surface. The authentication feature may be carried by a self-adhesive label or directly embedded on the product packaging.Type: ApplicationFiled: November 8, 2016Publication date: May 11, 2017Applicant: ALPVISION S.A.Inventors: Martin KUTTER, Fred JORDAN
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Publication number: 20160379358Abstract: The present application concerns the visual identification of materials or documents for tracking or authentication purposes. It describes methods to automatically authenticate an object by comparing some object images with reference images, the object images being characterized by the fact that visual elements used for comparison are non-disturbing for the naked eye. In some described approaches it provides the operator with visible features to locate the area to be imaged. It also proposes ways for real-time implementation enabling user friendly detection using mobile devices like smart phones.Type: ApplicationFiled: June 27, 2016Publication date: December 29, 2016Inventors: Celine DI VENUTO DAYER, V, Martin KUTTER, Frederic JORDAN
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Patent number: 9390345Abstract: The present application concerns the visual identification of materials or documents for tracking or authentication purposes. It describes methods to automatically authenticate an object by comparing some object images with reference images, the object images being characterized by the fact that visual elements used for comparison are non-disturbing for the naked eye. In some described approaches it provides the operator with visible features to locate the area to be imaged. It also proposes ways for real-time implementation enabling user friendly detection using mobile devices like smart phones.Type: GrantFiled: December 4, 2015Date of Patent: July 12, 2016Assignee: ALPVISION S.A.Inventors: Celine Di Venuto Dayer, V, Martin Kutter, Frederic Jordan
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Publication number: 20160140420Abstract: It describes methods to automatically authenticate an object by comparing some object images with reference images, the object images being characterized by the fact that visual elements used for comparison are non-disturbing for the naked eye. In some described approaches it provides the operator with visible features to locate the area to be imaged. It also proposes ways for real-time implementation enabling user friendly detection using mobile devices like smart phones.Type: ApplicationFiled: December 4, 2015Publication date: May 19, 2016Inventors: Celine DI VENUTO DAYER, V, Martin KUTTER, Frederic JORDAN
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Patent number: 9317988Abstract: The present invention proposes a method for generating a security bi-level image used to form one of the inks of a banknote, said image comprising an original bi-level image and a security pattern, said security pattern being obtained in the spatial domain by the inverse Fourier transform of the combination in the frequency domain between the Fourier transform of an auxiliary image and a two-dimensional sweep, said two-dimensional sweep being a circularly symmetric, two-dimensional pattern created by sweeping a self-similar, one-dimensional function along a 360-degree arc, such as said security pattern being detectable from the maximum value of the cross-correlation of said one-dimensional function with the Fourier transform of one line of said banknote, said method comprising the step of: —determining a distance map of the original bi-level image, —generating a merged image by linearly interpolating at least a part of said distance map with said security pattern, —thresholding the merged image to obtain theType: GrantFiled: September 8, 2010Date of Patent: April 19, 2016Assignee: EUROPEAN CENTRAL BANK (ECB)Inventors: Nicolas Rudaz, Martin Kutter, Frederic Jordan, Jean-Claude Gilles, Pierre Durant