Counterfeit detection

• US 20070198569A1
• Filed: 05/30/2006
• Published: 08/23/2007
• Est. Priority Date: 12/07/2005
• Status: Abandoned Application

• Current Assignee: Regents of the University of California (University of California)
• Original Assignee: Regents of the University of California (University of California)
• Inventors: Johnston, Roger
• Application Number:
  US11/443,790
• Publication Number:
  US 20070198569A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/08 Logistics, e.g. warehousing, loading or distribution; Inventory or stock management

Abstract

A method for detecting counterfeit objects relies on participation by customers who check on the validity of the unique, random, and unpredictable ID assigned to each object. Potential counterfeiters cannot reliably guess valid IDs and also cannot easily acquire large numbers of existing valid IDs. Counterfeit pharmaceuticals are detected when customers report invalid IDs and when multiple customers report the same IDs or check their own past and present stock for duplicate IDs. Some counterfeits may be detected even when only a small percentage of customers participate. The method is well suited for single-dose (“unit of use”) packaging, and can be adapted for resellers, wholesalers, repackagers, and other high-volume customers. The method can make pharmaceutical counterfeiting easier to detect and study, and make counterfeiting more difficult for the counterfeiters.

Claims

1. A method for generating tokens, comprising generating a plurality of IDs for a set of objects, each ID comprising a randomly or pseudo-randomly generated, unpredictable string of letters, digits, symbols or colors, wherein the number of object IDs is at least 100 times greater than the number of objects in the set, wherein no two object IDs are the same for the set of objects.

2. The method of claim 1, wherein the IDs comprise container IDs or product IDs, and wherein the objects comprise containers or products.

3. A method for providing each of a plurality of objects with an object ID, comprising:

(a) generating a plurality of object IDs for a set of objects, each object ID comprising a randomly or pseudo-randomly generated, unpredictable string of letters, digits, symbols or colors, wherein the number of object IDs is at least 100 times greater than the number of objects in the set, wherein no two object IDs are the same for the set of objects;

(b) assigning one of the object IDs to each object in the set of objects, the set of objects comprising a lot having a lot number;

(c) repeating step (b) for the remaining objects of the lot, wherein no two objects are assigned the same object ID in the lot.

4. The method of claim 3, wherein an object is selected from the group consisting of products, containers, and products inside containers, and wherein an object ID is selected from the group consisting of product IDs and container IDs.

5. The method of claim 4, further comprising labeling each container by putting a container ID on the container.

6. The method of claim 4, further comprising labeling each container by putting each container ID in the container.

7. The method of claim 3, further comprising locating the object IDs away from the objects.

8. The method of claim 3, further comprising storing each object ID on a storage medium.

9. The method of claim 8, wherein the storage medium comprises a database.

10. The method of claim 3, further comprising repeating steps (a), (b), and (c) for another lot.

11. The method of claim 3, wherein the plurality of object IDs is at least 1000 times greater than the number of objects in the lot.

12. Labeled objects prepared by a method comprising:

(a) generating a plurality of object IDs for a set of objects, each object ID comprising a randomly or pseudo-randomly generated, unpredictable string of letters, digits, symbols or colors, wherein the number of object IDs is at least 100 times greater than the number of objects in the set, wherein no two object IDs in the set are the same;

(b) assigning one of the object IDs to each object in the set of objects, the set of objects comprising a lot having a lot number;

(c) labeling each object; and

(d) repeating step (b) and step (c) for the remaining objects of the lot, wherein no two objects are assigned the same object ID in the lot.

13. The labeled objects of claim 12, wherein said labeled objects are selected from the group consisting of labeled products, labeled containers, labeled products inside unlabeled containers, and labeled products inside labeled containers, and wherein the object IDs are selected from the group consisting of product IDs and container IDs.

14. The labeled objects of claim 13, wherein labeling each container comprises putting a container ID on each container.

15. The labeled objects of claim 13, wherein labeling each container comprises putting a container ID in each container.

16. The labeled objects of claim 13, wherein the plurality of container IDs is at least 1000 times greater than the number of containers in the lot.

17. A method for reporting to a customer the likelihood that a product from a lot is counterfeit, wherein each product in the lot having a lot number and a product ID, the product ID comprising a randomly or pseudo-randomly, unpredictable generated string of letters, digits, symbols or colors, the method comprising:

(a) calling in a lot number and a product ID from a customer to a manufacturer of a product or representative of a manufacturer of a product;

(b) storing the called in lot number and product ID in a first database;

(c) comparing the lot number and product ID to a second database of valid product IDs for the lot number;

(d) determining whether or not the product ID has been called in previously for the lot number;

(e) determining the likelihood that the product is a counterfeit based on results of step (c) and step (d); and

(f) communicating the likelihood that the product is a counterfeit to the customer.

18. The method of claim 17, wherein step (e) comprises determining that the product is counterfeit because the product ID called in from the customer to the manufacturer or representative is not in the second database for the communicated lot number.

19. The method of claim 17, wherein step (e) comprises determining that the product is likely counterfeit because the product ID for the called in lot number has already been called in.

20. The method of claim 17, wherein step (e) comprises determining that the product is likely counterfeit because the product ID for the called in lot number has already been called in P times where P+1≧

T, where T is an integer greater than 2.

21. The method of claim 17, wherein step (f) comprises communicating to the first caller through caller number T−

1 who have called in the same valid product ID that their product does not appear to be a counterfeit and optionally that the caller can check back later if they identify themselves as recheckers or provide contact information and the manufacturer or manufacturer'"'"'s representative will contact the caller if new information becomes available, where T is an integer that has been chosen as a threshold for declaring that a chosen product ID is a counterfeit, and communicating to caller numbers T and greater than T that they likely have a counterfeit product.

22. The method of claim 17, further comprising:

(g) updating the first database with each newly called-in lot numbers and product IDs.

23. A method for reporting to a customer the likelihood that a product is counterfeit, the product being inside a container, the container having a lot number and a container ID, the container ID comprising a randomly or pseudo-randomly, unpredictable generated string of letters, digits, symbols or colors, the method comprising:

(a) calling in the lot number and the container ID from a customer to a manufacturer of a product or a representative of a manufacturer of a product;

(b) storing the called in lot number and container ID in a first database;

(c) comparing the lot number and container ID to a second database, the second database comprised of valid container IDs for the lot number;

(d) determining whether or not the container ID has been called in previously for the lot number;

(e) determining the likelihood that the product is a counterfeit based on the results of step (c) and step (d); and

(f) reporting to the customer the likelihood that the product is a counterfeit.

24. The method of claim 23, wherein step (e) comprises determining that the product is counterfeit because the container ID called in from the customer to the manufacturer or representative is not in the second database for the communicated lot number.

25. The method of claim 23, wherein step (e) comprises determining that the product is likely counterfeit because the container ID for the called in lot number has already been called in.

26. The method of claim 23, wherein step (e) comprises determining that the product is likely counterfeit because the container ID for the called in lot number has already been called in P times where P+1≧

T, where T is an integer greater than 2.

27. The method of claim 23, wherein step (f) comprises communicating to the first caller through caller number T−

1 who have called in the same valid container ID that their product in the container does not appear to be a counterfeit and optionally that the caller can check back later if they identify themselves as recheckers or provide contact information and the manufacturer or manufacturer'"'"'s representative will contact the caller if new information becomes available, where T is an integer that has been chosen as a threshold for declaring that the product in the container having the container ID is a counterfeit, and communicating to caller numbers T and greater than T that they likely have a counterfeit product.

28. The method of claim 23, further comprising:

(g) updating the first database with each newly called-in lot numbers and container IDs.

29. A self-checking method for detecting a counterfeit product among a plurality of products currently or previously owned by a customer, each product of the plurality of products having a lot number and a product ID comprising a randomly or pseudo-randomly generated, unpredictable string of letters, digits, symbols or colors, the method comprising:

(a) maintaining a database of lot numbers and product IDs for each lot number and each product of the plurality of products;

(b) determining whether or not there are any duplicate product IDs for each lot number; and

thereafter

(c) determining the likelihood of whether any of the products are counterfeit.

30. A self-checking method for detecting a counterfeit product among a plurality of products currently or previously owned by a customer, each product of the plurality of products being inside a container, the container having a lot number and a container ID comprising a randomly or pseudo-randomly generated, unpredictable string of letters, digits, symbols or colors, the method comprising:

(a) maintaining a database of lot numbers and container IDs for each lot number and each container;

(b) determining whether or not there are any duplicate container IDs for each lot number; and

thereafter

(c) determining the likelihood of whether any of the products are counterfeit.

31. A system for a container, comprising:

(a) a microprocessor for storing and transmitting information that is stored in the microprocessor, the stored information comprising a lot number and a container ID for said container;

(b) an acoustic encoder and driver for controlling a speaker, said acoustic encoder and driver being in electrical communication with said microprocessor;

(c) a speaker in communication with said microprocessor and said acoustic encoder and driver for sending an acoustic signal that comprises the lot number and the container ID;

(d) an actuator for initiating the acoustic signal from said speaker; and

(d) a source of electrical power in electrical communication with said microprocessor, said acoustic encoder and driver and said speaker.

32. The system of claim 31, wherein said stored information further comprises a product ID for any product inside said container.

33. The system of claim 31, wherein the stored information and the acoustic signal include the number of times that the actuator has been initiated.

34. The system of claim 31, wherein no more than 4 acoustic signals can be initiated using the actuator.

35. The system of claim 31, wherein said system is attached to the container.