Preserving a level of confidence of authenticity of an object

• US 10,540,664 B2
• Filed: 03/25/2019
• Issued: 01/21/2020
• Est. Priority Date: 02/19/2016
• Status: Active Grant

• Current Assignee: Alitheon, Inc.
• Original Assignee: Alitheon, Inc.
• Inventors: Ross, David Justin, Withrow, Justin Lynn, Kim, David Keesu, Tocci, Mark, Land, Scot E.
• Primary Examiner(s): Tabatabai, Abolfazl
• Application Number:
  US16/364,037
• Publication Number:
  US 20190220868A1
• Time in Patent Office: 302 Days
• Field of Search: 382103
• CPC Class Codes: G06F 16/51 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/5838 using colour
• CPC Class Codes: G06F 16/5866 using information manually generated, e.g. tags, keywords, comments, manually generated location and time information
• CPC Class Codes: G06F 16/587 using geographical or spatial information, e.g. location
• CPC Class Codes: G06F 18/22 Matching criteria, e.g. proximity measures
• CPC Class Codes: G06F 21/44 Program or device authentication
• CPC Class Codes: G06F 21/73 by creating or determining hardware identification, e.g. serial numbers
• CPC Class Codes: G06F 2221/2111 Location-sensitive, e.g. geographical location, GPS
• CPC Class Codes: G06Q 30/0185 Product, service or business identity fraud
• CPC Class Codes: G06V 10/44 Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
• CPC Class Codes: G06V 10/462 Salient features, e.g. scale invariant feature transforms [SIFT]
• CPC Class Codes: G06V 10/50 by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis
• CPC Class Codes: G06V 10/751 Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
• CPC Class Codes: G06V 20/80 Recognising image objects characterised by unique random patterns
• CPC Class Codes: G06V 20/95 Pattern authentication; Markers therefor; Forgery detection
• CPC Class Codes: H04L 9/3278 using physically unclonable functions [PUF]

Abstract

Apparatuses and methods associated with preserving a level of confidence of authenticity of an object are disclosed herein. In embodiments, a method includes acquiring first information corresponding to a physical object; identifying first authentication data based on the first information; initializing a database record associated with the physical object responsive to identifying the first authentication data; determining whether the first authentication data corresponds to original provenance for the physical object; in response to determining that the first authentication data does not correspond to original provenance for the physical object, acquire and store in the database record first record data including authenticity information available in association with identification of the first authentication data; in response to determining that the first authentication data does correspond to original provenance for the physical object, retaining second record data in the database record. Other embodiments may be disclosed or claimed.

Claims

1. A method performed by a processor, comprising:

acquiring a first digital image of at least a portion of a physical object, the physical object having an uncertain provenance;

acquiring a third-party assertion of authenticity of the physical object on a date certain;

forming a first digital fingerprint based on an analysis of the first digital image, wherein the first digital fingerprint is based on one or more natural structures of the physical object;

forming a first database record having first data, the first data including authenticity information associated with the third-party assertion of authenticity and the first digital fingerprint;

storing the first database record in a database;

at a time subsequent to the date certain, acquiring a second digital image of at least a portion of a target object;

forming a second digital fingerprint based on an analysis of the second digital image, wherein the second digital fingerprint is responsive to one or more natural structures of the target object;

searching the database for a record having a stored digital fingerprint that matches the second digital fingerprint; and

based on a determination that the first digital fingerprint of the first database record matches the second digital fingerprint, updating the first database record to indicate that the target object is the physical object.

2. The method performed by the processor of claim 1, wherein the third-party assertion of authenticity is based on an authentication framework implemented by a human expert.

3. The method performed by the processor of claim 1, wherein the third-party assertion of authenticity is based on an authentication framework implemented by a machine.

4. The method performed by the processor of claim 1, wherein the physical object is a collectible object or a consumable object.

5. The method performed by the processor of claim 1, wherein a value of the physical object is based at least in part on a rarity of the physical object.

6. The method performed by the processor of claim 1, wherein based on the determination that the first digital fingerprint of the first database record matches the second digital fingerprint, the first database record is further updated with metadata that includes time information and location information associated with acquisition of the second digital image.

7. The method performed by the processor of claim 1, wherein based on the determination that the first digital fingerprint of the first database record matches the second digital fingerprint, the first database record is further updated with metadata that includes a certificate of authenticity.

8. The method performed by the processor of claim 7, wherein the metadata includes a digital signature on the certificate of authenticity.

9. The method performed by the processor of claim 1, wherein an authentication process artifact from a label, tag, integrated material, unique identification character, or code appears in the first digital image.

10. The method performed by the processor of claim 9, wherein the authentication process artifact includes at least one of an inconsistency in a patina, a wear marking, a light bleach marking, or corrosion.

11. A mobile device, comprising:

a memory;

an image acquisition device arranged to capture a digital image of at least a portion of a target physical object, the target physical object having an uncertain provenance; and

a processor, the processor arranged to execute instructions stored in the memory, wherein execution of at least some of the instructions cause the processor to;

retrieve the digital image of at least the portion of the target physical object;

analyze the digital image;

form a target digital fingerprint based on the analysis of the first digital image, wherein the target digital fingerprint is responsive to one or more natural structures of the target physical object;

query a database to identify a database record having a stored digital fingerprint that matches the target digital fingerprint; and

based on a successful identification of the database record having the stored digital fingerprint that matches the target digital fingerprint, update the database record with an indication of the target physical object and time information associated with the capture of the digital image.

12. The mobile device of claim 11, wherein execution of at least some of the instructions stored in the memory further cause the processor to:

based on the successful identification of the database record having the stored digital fingerprint that matches the target digital fingerprint, update the database record with location information associated with the capture of the digital image.

13. The mobile device of claim 11, wherein execution of at least some of the instructions stored in the memory further cause the processor to:

query the database via an Internet connection.

14. The mobile device of claim 11, wherein the image acquisition device is a camera device.

15. The mobile device of claim 11, wherein the database is arranged to store a plurality of database records, various ones of the plurality of records including.

16. A system, comprising:

a database arranged to store a plurality of database records, various ones of the plurality of records including;

a first digital image of at least a portion of a physical object, the physical object having an uncertain provenance;

information indicating a third-party assertion of authenticity of the respective physical object on a date certain; and

a first digital fingerprint based on an analysis of the first digital image, wherein the first digital fingerprint is responsive to one or more natural structures of the physical object;

a memory;

an image processing device arranged to execute instructions stored in the memory, wherein execution of at least some of the instructions cause the imaging processing device to;

analyze a target digital image of at least the portion of a target physical object;

form a target digital fingerprint based on the analysis of the target digital image, wherein the target digital fingerprint is responsive to one or more natural structures of the target physical object;

query the database to identify a database record having a stored digital fingerprint that matches the target digital fingerprint; and

based on a successful identification of the database record having the stored digital fingerprint that matches the target digital fingerprint, update the database record with an indication of the target physical object and time information associated with the capture of the digital image.

17. The system of claim 16, wherein the image processing device is a mobile device.

18. The system of claim 16, comprising:

a portion of a cloud-based network, wherein the cloud-based network is arranged to wirelessly receive the target digital image from a mobile device.

19. The system of claim 16, wherein the database is further arranged to store a second plurality of database records, various ones of the second plurality of records including:

an unmatched digital fingerprint, the unmatched digital fingerprint responsive to one or more natural structures of an unidentified physical object; and

an indication that the unidentified physical object is not matched to any known physical objects.

20. The system of claim 19, wherein various ones of the second plurality of records include:

an indication that the unidentified physical object is not authentic.