- 专利标题: Methods and systems for automatic object recognition and authentication
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申请号: US16214825申请日: 2018-12-10
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公开(公告)号: US11626991B2公开(公告)日: 2023-04-11
- 发明人: Thomas Endress , Daniel Szabo , Frederic Berkermann
- 申请人: Merck Patent GmbH
- 申请人地址: DE Darmstadt
- 专利权人: Merck Patent GmbH
- 当前专利权人: Merck Patent GmbH
- 当前专利权人地址: DE Darmstadt
- 代理机构: Faegre Drinker Biddle & Reath LLP
- 优先权: EP8170047 20180430
- 主分类号: H04L9/32
- IPC分类号: H04L9/32 ; G06N20/00 ; H04L9/06 ; G06K9/62 ; G06V20/64 ; G06V20/80 ; G06V20/00 ; H04L9/00
摘要:
A system and a method of receiving object data representing one or more discriminating characteristics of a physical object or group of physical objects is described herein. The method includes: processing the object data by means of a machine-learning-based object recognition process to obtain discriminating data representing one or more collision resistant virtual representations of the physical object or group of physical objects; comparing at least one of the discriminating data and an original hash value derived therefrom by application of a pre-determined cryptographic hash function thereto with corresponding reference data stored in one or more data repositories with restricted access; and, if said comparison with the reference data results in a match, outputting digitally signed identification data comprising said hash value.
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