IP Library Granted Patent US 9,400,909
Granted Patent B2
US 9,400,909 · App. 14/228,305 · Granted Jul 26, 2016

Method and apparatus for identification

Inventor: Adam Hanina (New York, NY)
Assignee: Ai Cure Technologies, Inc.
G06K7/1408G06K1/121G06K9/527
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Quick Facts
Patent No.
US 9,400,909
App. No.
14/228,305
Granted
Jul 26, 2016
Kind
B2
Abstract

A method and system for reading an identifier from an object having a portion of a repeating image imparted thereon. The system preferably includes an imaging apparatus for imaging a portion of the repeating image from the object, the repeating image repeating in the direction of continuous travel of one or more objects through a printing location, at least the portion of the repeating image being printed to each of a plurality of objects, including the object, as the plurality of objects reach the printing location. The system further preferably includes a comparator for comparing one or more expected attributes of the imaged repeating image with one or more corresponding actual attributes of the imaged repeating image.

Claims (61)

1. A system for reading an identifier from a first object having a portion of a repeating feature printed thereon, comprising:

an imaging apparatus operable to acquire an image of a portion of the printed repeating feature from the first object, the repeating feature repeating in the direction of continuous travel of a plurality of objects through a printing location, at least the portion of the repeating feature being printed to each object of the plurality of objects, including the first object, as the plurality of objects reach the printing location; and

a comparator operable to

compare one or more expected attributes of the imaged portion of the printed repeating feature with one or more corresponding actual attributes of the imaged portion of the printed repeating feature, and

determine, based on the comparison, an authenticity or identification of the first object, wherein the system is operable to output a notification of the authenticity or identification of the first object responsive to determining the authenticity or identification, respectively.

2. The system of claim 1 , wherein the expected characteristics of the printed repeating feature comprise distortions in the feature caused by one or more of the first object shape, first object color and texture of the first object.

3. The system of claim 1 , wherein the imaging apparatus comprises a high resolution imaging apparatus to image a high resolution version of the repeating feature.

4. The system of claim 1 , wherein the comparator is operable to identify a number of expected attributes, the number being equal to or greater than one, that match the actual attributes and

to determine that the first object is a counterfeit when the number of matching attributes is below a predetermined value.

5. The system of claim 1 , wherein the system is operable to output a notification in response to determining the object is a counterfeit.

6. The system of claim 1 , wherein a match determination is made when a high number of the expected attributes of the imaged repeating image match actual attributes of the imaged repeating image.

7. The system of claim 6 , wherein the comparator is operable to determine the identification of the first object, and wherein the system further comprises an identification system operable to determine an identification of a user, wherein the identification of the user is associated with the identified first object.

8. The system of claim 1 , wherein the repeating printed feature comprises a fractal pattern.

9. The system of claim 8 , wherein the expected characteristics of the fractal pattern comprise distortions in the fractal pattern caused by one or more of the first object shape, the first object color and the first object texture.

10. The system of claim 1 , wherein the repeating printed feature comprises a plurality of fractal patterns overlaid on one another.

11. The system of claim 10 , wherein at least one of the fractal patterns encodes information about the first object.

12. The system of claim 10 , wherein the expected attribute comprises an expected distortion of at least one of the fractal patterns caused by a physical property of the first object.

13. The system of claim 12 , wherein the physical property of the first object comprises a color, shape and/or texture of the first object.

14. The system of claim 12 , wherein the expected distortion is independent of the orientation of the first object.

15. The system of claim 1 , wherein the system is operable to:

identify within the acquired image at least one first reference point on the printed repeating feature and at least one second reference point the printed repeating feature;

determine a distance or determine a ratio between the at least one first reference point and the at least one second reference point; and

identify a distortion of the feature from the distance or the ratio.

16. The system of claim 1 , wherein the expected attribute comprises a distortion of the printed repeating feature and wherein the imaging apparatus is trained to identify the expected distortion.

17. The method of claim 1 , wherein the repeating printed feature comprises a plurality of fractal patterns overlaid on one another.

18. The method of claim 17 , wherein at least one of the fractal patterns encodes information about the first object.

19. The method of claim 17 , wherein the expected attribute comprises an expected distortion of at least one of the fractal patterns caused by a physical property of the first object.

20. The method of claim 19 , wherein the physical property of the first object comprises a color, shape and/or texture of the first object.

21. The method of claim 19 , wherein the expected distortion is independent of the orientation of the first object.

22. A method for providing an identifier to one or more objects, comprising the steps of:

providing the one or more objects to a printing location; and

printing a repeating complex image to the one or more objects;

wherein the one or more objects are provided in a continuous manner; and

wherein the repeating complex image repeats in the direction of continuous travel of the one or more objects, and is printed to a number of the one or more object as they reach the printing location.

23. The method of claim 22 , wherein the one or more objects are provided in a batch sequence.

24. The method of claim 23 , wherein a single repeating complex image is printed to each of the one or more objects in each batch substantially simultaneously.

25. The method of claim 24 , wherein one or more parameters of the repeating complex image are modified in accordance with a batch identifier.

26. The method of claim 22 , wherein the repeating complex image is printed with a higher resolution when a higher level of security is desired.

27. The method of claim 22 , wherein the repeating complex image further comprises a combination of one or more fractal images.

28. A method for reading an identifier from a first object having a portion of a repeating feature printed thereon, the method comprising

imaging a portion of the printed repeating feature from the first object, the repeating feature repeating in the direction of continuous travel of a plurality of objects through a printing location, at least the portion of the repeating feature being printed to each object of the plurality of objects, including the first object, as the plurality of objects reach the printing location;

comparing one or more expected attributes of the imaged portion of the printed repeating feature with one or more corresponding actual attributes of the imaged portion of the printed repeating feature;

determining, based on the comparison, an authenticity or identification of the first object; and

outputting a notification of the authenticity or identification of the object responsive to determining the authenticity or identification, respectively.

29. The method of claim 28 , wherein the expected characteristics of the printed repeating feature comprise distortions in the feature caused by one or more of the first object shape, object color and texture of the first object.

30. The method of claim 28 , wherein a high resolution imaging apparatus is employed to image a high resolution version of the repeating image.

31. The method of claim 28 , further comprising:

identifying a number of expected attributes, the number being equal to or greater than one, that match the actual attributes;

determining that the object is a counterfeit when the number of matching attributes is below a predetermined value.

32. The method of claim 31 , further comprising outputting a notification responsive to determining that the first object is a counterfeit.

33. The method of claim 28 , further comprising the step of determining a match when a high number of the expected attributes of the imaged repeating image match actual attributes of the imaged repeating image.

34. The method of claim 33 , comprising:

determining the identification of the first object; and

determining an identification of a user, wherein the identification of the user is associated with the identified first object.

35. The method of claim 28 , wherein the repeating printed feature comprises a fractal pattern.

36. The method of claim 35 , wherein the expected characteristics of the fractal pattern comprise distortions in the fractal pattern caused by one or more of the first object shape, the first object color and the first object texture.

37. The method of claim 28 , further comprising:

identifying within the acquired image at least one first reference point on the printed repeating feature and at least one second reference point the printed repeating feature;

determining a distance or determine a ratio between the at least one first reference point and the at least one second reference point; and

identifying a distortion of the feature from the distance or the ratio.

38. The method of claim 28 , wherein the expected attribute comprises a distortion of the printed repeating feature and wherein the method further comprises training the imaging apparatus to identify the expected distortion.

Assignments (6)
SECURITY INTEREST Recorded Nov 4, 2025
From: AICURE CORPORATION
To: WESTERN ALLIANCE BANK
Reel/Frame 073482/0220 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 31, 2025
From: WESTERN ALLIANCE BANK
To: AICURE CORPORATION
Reel/Frame 073423/0028 →
SECURITY INTEREST Recorded Oct 27, 2025
From: AICURE CORPORATION
To: VIVE CAPITAL II, LLC
Reel/Frame 073372/0770 →
SECURITY INTEREST Recorded Dec 27, 2023
From: AIC INNOVATIONS GROUP, INC.
To: WESTERN ALLIANCE BANK
Reel/Frame 066128/0170 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 21, 2016
From: HANINA, ADAM
To: AI CURE TECHNOLOGIES, INC.
Reel/Frame 040394/0964 →
CHANGE OF NAME Recorded Nov 21, 2016
From: AI CURE TECHNOLOGIES, INC.
To: AIC INNOVATIONS GROUP, INC.
Reel/Frame 040661/0042 →
Continuity (3)
Continuation 13338602 · Dec 28, 2011
Provisional Application 61544056 · Oct 6, 2011
Related Publication 20140209686A1 · Jul 31, 2014