Invention Grant
- Patent Title: Methods and systems for automatic object recognition and authentication
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Application No.: US16214825Application Date: 2018-12-10
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Publication No.: US11626991B2Publication Date: 2023-04-11
- Inventor: Thomas Endress , Daniel Szabo , Frederic Berkermann
- Applicant: Merck Patent GmbH
- Applicant Address: DE Darmstadt
- Assignee: Merck Patent GmbH
- Current Assignee: Merck Patent GmbH
- Current Assignee Address: DE Darmstadt
- Agency: Faegre Drinker Biddle & Reath LLP
- Priority: EP8170047 20180430
- Main IPC: H04L9/32
- IPC: H04L9/32 ; G06N20/00 ; H04L9/06 ; G06K9/62 ; G06V20/64 ; G06V20/80 ; G06V20/00 ; H04L9/00

Abstract:
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.
Public/Granted literature
- US20190334723A1 METHODS AND SYSTEMS FOR AUTOMATIC OBJECT RECOGNITION AND AUTHENTICATION Public/Granted day:2019-10-31
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