Personal history in track and trace system

• US 10,037,537 B2
• Filed: 02/17/2017
• Issued: 07/31/2018
• Est. Priority Date: 02/19/2016
• Status: Active Grant

• Current Assignee: Alitheon, Inc.
• Original Assignee: Alitheon, Inc.
• Inventors: Withrow, Justin Lynn, Tocci, Mark, Kim, David Keesu, Ross, David Justin, Land, Scot E.
• Primary Examiner(s): Park, Edward
• Application Number:
  US15/436,631
• Publication Number:
  US 20170243231A1
• Time in Patent Office: 529 Days
• 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 personal history in a track and trace system 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; storing the first authentication data in a database system; subsequent to storing the first authentication data, acquiring second information corresponding to a target physical object and identifying second authentication data based on the second information; identifying third information corresponding to the target physical object; querying the database system to seek a matching record based on the second authentication data; in the case that a matching record is returned responsive to the querying, updating the matching record with an indication that the second authentication data was matched to it and updating history data of said matching record based on said third information. Other embodiments may be disclosed or claimed.

Claims

1. A method, comprising:

acquiring first digital image data of an image of at least a portion of an inanimate physical object;

analyzing the first image data to form a first digital fingerprint of the inanimate physical object, wherein the first digital fingerprint is responsive to at least one native feature of the inanimate physical object; and

wherein forming the first digital fingerprint includes selecting an authentication region and extracting at least one feature vector from the selected authentication region, wherein the feature vector includes a plurality of color or gray scale numeric values corresponding to areas within the selected authentication region, the numeric values including at least one of a sum, average, maximum or other function of individual numeric values of a corresponding group of pixels forming a sub-part of the selected authentication region;

storing the first digital fingerprint in a database record of a database system, wherein the database record is arranged to store history data in association with the first digital fingerprint;

subsequent to storing the first digital fingerprint in the database record, identifying first information corresponding to a target inanimate physical object, wherein identifying the first information corresponding to the target inanimate physical object includes acquiring second digital image data of an image of at least a portion of the target inanimate physical object;

acquiring second information associated with the target inanimate physical object;

extracting features from the second digital image data to form a second digital fingerprint, wherein the second digital fingerprint is responsive to at least one native feature of the target inanimate physical object;

querying the database system to identify a matching record based on the second digital fingerprint, wherein the matching identification is based on a threshold confidence level;

in a case that a matching record is identified responsive to the querying, updating the matching record with an indication that the second digital fingerprint was matched to it; and

updating the history data of said matching record based on said second information, including storing a measurement of a selected metric acquired by a sensor securely associated with the target inanimate physical object, and an indication of a time associated with the measurement.

2. The method of claim 1, wherein the measurement comprises a temperature value acquired by a sensor proximate to or located in the target inanimate physical object, or a measurement generated by an accelerometer proximate to or located in the target inanimate physical object.

3. The method of claim 1, wherein the second information comprises location information indicating a location of the target inanimate physical object when the second information was acquired, and updating the history data of said matching record includes storing the location information in the matching record.

4. The method of claim 3, wherein the location information comprises GPS (global positioning system) data indicating a location of the target inanimate physical object at a time associated with the acquisition of the second digital image data.

5. The method of claim 1, wherein the second information comprises chain of custody information.

6. The method of claim 1, wherein the second information identifies a point of assembly of plural individual objects to form the target inanimate physical object or a point of division of the target inanimate physical object to separate an individual object from the target inanimate physical object.

7. The method of claim 1, wherein the second information comprises a plurality of measurements obtained over time.

8. The method of claim 1, further comprising adding the second digital fingerprint to the matching record.

9. The method of claim 1, further comprising:

securely associating the sensor and the inanimate physical object;

obtaining a measurement of the inanimate physical object using the sensor;

storing a value corresponding to the measurement in the digital fingerprint in the database record; and

controlling the sensor to cause the sensor to obtain additional measurements of the inanimate physical object periodically.

10. The method of claim 9, wherein the second information comprises data generated by the sensor responsive to periodically obtaining the additional measurements.

11. The method of claim 1, wherein the digital fingerprint does not rely upon or require any labels, tags, integrated materials, unique identification characters, codes or other items that were added to the inanimate physical object specifically for identification of the inanimate physical object.

12. The method of claim 1, further comprising:

in a case that a matching record is not identified, updating the matching record with an indication that the second digital fingerprint was not matched to the matching record.

13. The method of claim 1, wherein the matching record comprises the database record or a record of an intermediate aggregate physical object or a final aggregate physical object that includes the inanimate physical object.

14. The method of claim 13, further comprising updating history data of the record of the intermediate aggregate physical object or the final aggregate physical object based on the second information.