Pill identification and counterfeit detection method

• US 8,712,163 B1
• Filed: 12/14/2012
• Issued: 04/29/2014
• Est. Priority Date: 12/14/2012
• Status: Active Grant

• Current Assignee: EyeNode, LLC
• Original Assignee: EyeNode, LLC
• Inventors: Osheroff, Jason Alexander
• Primary Examiner(s): CHAWAN, SHEELA C
• Application Number:
  US13/715,115
• Time in Patent Office: 501 Days
• Field of Search: 382/128, 382/195, 382/199, 382/203, 382/190, 382/149, 382/151, 382/162, 382/266, 382/274, 235/462.01, 235/454, 206/531, 206/528, 206/534, 427/2.23, 427/2.1, 427/2.14, 348/125, 348/85, 424/10.2, 424/467, 424/400
• US Class Current: 382/195
• CPC Class Codes: G06F 18/00 Pattern recognition
• CPC Class Codes: G06V 20/66 Trinkets, e.g. shirt buttons or jewellery items recognising microscopic objects G06V20/69
• CPC Class Codes: G06V 20/80 Recognising image objects characterised by unique random patterns
• CPC Class Codes: G06V 30/10 Character recognition
• CPC Class Codes: G06V 30/148 Segmentation of character regions

Abstract

Disclosed is a computer-implemented method of pill analysis including the steps of acquiring a pill image having an image frame and detecting contrast shifts within the image frame to locate at least one object with an object outline. A first value for the object(s) is determined, where the value is an area, a position, a length, a width, an angle, a color, a brightness, a code, a shape, a crystal pile size, a crystal geometry, a substance identity, or a character identity. Based on the first and second values, the computer outputs a result to a user.

Claims

1. A computer-implemented method of pill analysis comprising the steps of:

a computer acquiring a pill image having an image frame;

the computer detecting contrast shifts within the image frame, thereby locating at least one object having an object outline defining an enclosed contrast shift region;

the computer determining a first value for the at least one object, the first value selected from the group consisting of an area, a position, a length, a width, an angle, a color, a brightness, a code, a shape, a crystal pile size, a crystal geometry, a substance identity, and a character identity;

the computer searching within the enclosed contrast shift region for additional contrast shifts, thereby determining contents of the enclosed contrast shift region;

the computer determining for the contents of the enclosed contrast shift region at least one second value selected from the group consisting of an area, a position, a length, a width, an angle, a color, a brightness, a code, a shape, a crystal pile size, a crystal geometry, a substance identity, and a character identity;

the computer outputting a result to a user based on the first value and the second value.

2. The method of claim 1, further comprising:

the computer comparing one or more of the at least one first value and the at least one second value with a reference value to obtain at least one drift value.

3. The method of claim 2, further comprising:

determining a pill authenticity based on the at least one drift value.

4. The method of claim 1, wherein the step of detecting contrast shifts is performed by one of a line scan method, a radial scan method, and a polygonal scan method.

5. The method of claim 1, wherein the step of detecting the enclosed contrast shift region comprises detecting a change in one or more of (i) a color, (ii) an intensity, (iii) a chemical constituency, and (iv) a physical geometry.

6. The method of claim 5, wherein detecting the change in a chemical constituency comprises detecting a change in one or more of an electron value, an isotope value, and a phase state value.

7. The method of claim 1, wherein detecting the at least one object comprises detecting at least a first pill side and a second pill side including:

comparing a property of the first pill side with a corresponding property of the second pill side, wherein the property and the corresponding property are selected from the group consisting of shape, area, length, width, height, angle, and perimeter length; and

assigning a side label to each of the first pill side and the second pill side.

8. The method of claim 1, wherein determining at least one enclosed contrast shift region includes

determining whether the enclosed contrast shift region contacts the image frame at more than one location;

defining at least one partial object

determining whether the at least one partial object is an incomplete drug object; and

determining whether the incomplete drug object substantially matches a portion of a whole geometric shape.

9. The method of claim 1, further comprising the steps of:

determining a first background value;

determining a reference background value;

comparing the first background value with the reference background value to determine a background shift value.

10. The method of claim 1, wherein determining the contents of the enclosed contrast shift region includes

searching regions enclosed by the one or more characters for a contrast shift when the contrast shift region contains one or more characters.

11. The method of claim 1, wherein determining the contents of the enclosed contrast shift region contents includes:

defining each of the one or more characters by one or more elements selected from the group consisting of a line segment, a curve, a circle, a vertex, a length, a distance, and a vector when the contrast shift region contains one or more characters;

determining at least one value for each of the one or more elements, the at least one value selected from the group consisting of a position, a length, an angle, a shape, a distance, a radius, and a line width; and

calculating a drift value for the one or more characters.

12. The method of claim 1, wherein detecting the at least one object includes:

determining whether the pill is a capsule by detecting at least one feature selected from the group consisting of a capsule seam, a capsule band traversing the oblong object, and a plurality of objects having a substantially spherical shape when the at least one object is an oblong object.

13. The method of claim 12, wherein detecting the capsule seam includes:

detecting a first portion of a first elongated segment, the first portion having a proximal end and a distal end;

detecting a second portion of a first elongated segment, the second portion having a proximal end and a distal end, wherein the second portion of the first elongated segment is substantially parallel to the first portion of the first elongated segment and wherein the distal end of the second portion of the first elongated segment is located proximate to the proximal end of the first portion of the first elongated segment;

detecting a first transverse segment extending transversely between the proximal end of the first portion of first elongated segment and the distal end of the second portion of the first elongated segment;

detecting a first portion of the second elongated segment, the first portion having a proximal end and a distal end;

detecting a second portion of the second elongated segment, the second portion having a proximal end and a distal end, wherein the second portion of the second elongated segment is substantially parallel to the first portion of the second elongated segment and wherein the distal end of the second portion of the second elongated segment is located proximate to the proximal end of the first portion of the second elongated segment; and

detecting a second transverse segment extending transversely between the proximal end of the first portion of second elongated segment and the distal end of the second portion of the second elongated segment.

14. The method of claim 13, further comprising

determining whether the first transverse segment is substantially collinear with the second transverse segment.

15. A computer-implemented method of pill analysis from a pill image, the method comprising the steps of:

inputting a pill image to a computer, the pill image having an image frame;

the computer detecting an object having an object outline within the image frame;

the computer determining for the object one or more value selected from the group consisting of a length, a width, a height, an area, a position, a color, an intensity, a shape, an angle, a perimeter length, a code, a substance identity, a crystal pile size, a crystal geometry, and a character identity;

the computer detecting one or more additional object within the object outline, the one or more additional object selected from the group consisting of a letter, a number, a character, a symbol, and a glyph;

the computer defining the one or more additional objects using one or more object elements selected from the group consisting of a line segment, a curve, a circle, an angle, a vector, a line width, a vertex, a distance, and a length;

the computer calculating, for the one or more object elements, a value selected from the group consisting of a position, a distance, a dimension, and an angle;

comparing the value with a reference value to obtain at least one drift value; and

reporting a result to a user based on the at least one drift value.

16. The method of claim 15, wherein reporting the result includes reporting a value selected from the group consisting of a pill identity and an authenticity determination.

17. The method of claim 15, wherein detecting the object comprises detecting a change in one or more of (i) a color, (ii) an intensity, (iii) a chemical constituency, and (iv) a physical geometry.

18. The method of claim 15, wherein detecting the object includes:

determining whether the pill is a capsule by detecting at least one feature selected from the group consisting of a capsule seam, a capsule band traversing the oblong object, and a plurality of objects having a substantially spherical shape when the at least one object is an oblong object.

19. The method of claim 15, wherein the oblong object has a first elongated segment and a second elongated segment substantially parallel to the first elongated segment, and detecting a capsule seam comprises:

detecting a first portion of the first elongated segment, the first portion having a proximal end and a distal end;

detecting a second portion of the first elongated segment, the second portion having a proximal end and a distal end, wherein the second portion of the first elongated segment is substantially parallel to the first portion of the first elongated segment and wherein the distal end of the second portion of the first elongated segment is located proximate to the proximal end of the first portion of the first elongated segment;

detecting a first transverse segment extending transversely between the proximal end of the first portion of first elongated segment and the distal end of the second portion of the first elongated segment;

detecting a first portion of the second elongated segment, the first portion having a proximal end and a distal end;

detecting a second portion of the second elongated segment, the second portion having a proximal end and a distal end, wherein the second portion of the second elongated segment is substantially parallel to the first portion of the second elongated segment and wherein the distal end of the second portion of the second elongated segment is located proximate to the proximal end of the first portion of the second elongated segment; and

detecting a second transverse segment extending transversely between the proximal end of the first portion of second elongated segment and the distal end of the second portion of the second elongated segment.