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公开(公告)号:US10964010B2
公开(公告)日:2021-03-30
申请号:US16402998
申请日:2019-05-03
Applicant: ALPVISION S.A.
Inventor: Celine Di Venuto Dayer, V , Martin Kutter , Frederic Jordan
IPC: G06K9/00 , G06T7/00 , G06K9/32 , G06K9/62 , G06K9/68 , G07D7/121 , G07D7/2033 , G06K9/46 , G06K9/78 , H04N5/225 , G04B47/00
Abstract: 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.-
公开(公告)号:US20200342259A1
公开(公告)日:2020-10-29
申请号:US16956028
申请日:2018-12-20
Applicant: ALPVISION S.A.
Inventor: Frederic JORDAN , Nicolas RUDAZ , Yves DELACRETAZ , Martin KUTTER
Abstract: 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. The machine learning system may automatically generate reference template signals as configuration parameters for the unitary algorithms to facilitate the production of classifiers suitable for the classification of multiple digital representations of input object items.
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公开(公告)号:US09710902B2
公开(公告)日:2017-07-18
申请号:US15193769
申请日:2016-06-27
Applicant: ALPVISION S.A.
Inventor: Celine Di Venuto Dayer, V , Martin Kutter , Frederic Jordan
IPC: G06K9/00 , G06T7/00 , G06K9/32 , G06K9/62 , G06K9/68 , G07D7/121 , G07D7/2033 , G06K9/46 , G06K9/78 , H04N5/225 , G04B47/00
CPC classification number: G06T7/0004 , G04B47/00 , G06K9/00093 , G06K9/00577 , G06K9/3208 , G06K9/46 , G06K9/4604 , G06K9/6203 , G06K9/6204 , G06K9/685 , G06K9/6857 , G06K9/78 , G06K2009/6213 , G06T2207/30176 , G07D7/121 , G07D7/2033 , H04N5/2256
Abstract: 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.
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公开(公告)号:US20170132465A1
公开(公告)日:2017-05-11
申请号:US15346234
申请日:2016-11-08
Applicant: ALPVISION S.A.
Inventor: Martin KUTTER , Fred JORDAN
CPC classification number: G06K9/00577 , G06K7/1417 , G06K2009/0059 , G06T7/0004 , G06T2207/10004 , G06T2207/10032 , G06T2207/30164 , G07D7/003 , G07D7/202 , G07D7/2033
Abstract: 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.
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