Systems, methods and devices for managing rejected coins during coin processing

• US 9,633,500 B1
• Filed: 07/26/2016
• Issued: 04/25/2017
• Est. Priority Date: 08/06/2014
• Status: Active Grant

• Current Assignee: Cummins-Allison Corporation (Crane Company)
• Original Assignee: Cummins-Allison Corporation (Crane Company)
• Inventors: Blake, John R., Hallowell, Curtis W., Jagielinski, Tomasz M.
• Primary Examiner(s): Beauchaine, Mark
• Application Number:
  US15/219,837
• Time in Patent Office: 273 Days
• CPC Class Codes: G07D 11/32 Record keeping transaction aspects G07F19/00
• CPC Class Codes: G07D 11/50 Sorting or counting valuable papers
• CPC Class Codes: G07D 3/14 Apparatus driven under control of coin-sensing elements
• CPC Class Codes: G07D 3/16 in combination with coin-counting
• CPC Class Codes: G07D 5/00 Testing specially adapted to determine the identity or genuineness of coins, e.g. for segregating coins which are unacceptable or alien to a currency
• CPC Class Codes: G07F 19/202 Depositing operations within ATMs depositing in general G07D11/00

Abstract

Currency processing systems, coin processing machines, computer-readable storage media, and methods of managing processed coins are presented herein. A method is presented for managing coins processed by a currency processing system. The method includes: receiving a batch of coins by the currency processing system; feeding the coins into a coin processing unit which includes one or more coin discriminating sensors; sorting the batch of coins into genuine fit target coins and reject coins; sorting the reject coins into a plurality of reject groups, each of which corresponds to a respective category of rejected coins; analyzing at least one of the reject groups to determine if any genuine target coins were mischaracterized and erroneously sorted into that reject group; and, crediting a user of the currency processing system for any genuine target coins in the reject group determined to have been mischaracterized and erroneously sorted.

Claims

1. A method for managing banknotes processed by an automated currency processing system, the method comprising:

receiving a batch of banknotes via a banknote input area of the currency processing system;

feeding the batch of banknotes into a banknote processing unit of the currency processing system, the banknote processing unit including one or more banknote discriminating sensors;

sorting the batch of banknotes into genuine fit target banknotes and reject banknotes with the banknote processing unit;

sorting the reject banknotes into a plurality of reject groups with the banknote processing unit, each of the reject groups corresponding to a respective category of rejected banknotes;

analyzing, via one or more processors and the one or more banknote discriminating sensors, at least one of the reject groups to determine if any genuine target banknotes were mischaracterized and erroneously sorted into the at least one reject group; and

crediting, via the one or more processors, a user of the currency processing system for the genuine target banknotes in the at least one reject group determined to have been mischaracterized and erroneously sorted.

2. The method of claim 1, wherein the sorting the batch of banknotes into genuine fit target banknotes and reject banknotes is performed with the currency processing system set in a first mode of operation, the first mode of operation including increasing a sensitivity level of at least one of the one or more banknote discriminating sensors in the banknote processing unit to an increased sensitivity level.

3. The method of claim 2, wherein the sorting the reject banknotes into the plurality of reject groups is performed with the currency processing system set in a second mode of operation, the second mode of operation including decreasing a sensitivity level of at least one of the one or more banknote discriminating sensors in the banknote processing unit to a decreased sensitivity level, the decreased sensitivity level being less than the increased sensitivity level.

4. The method of claim 1, wherein the plurality of reject groups includes a first reject group comprising stranger and counterfeit banknotes, a second reject group comprising rejected banknotes appearing to be genuine and fit, and a third reject group comprising genuine banknotes exhibiting unfit characteristics.

5. The method of claim 4, wherein the analyzing at least one of the reject groups includes resorting the second reject group comprising rejected banknotes appearing to be genuine and fit into genuine fit target banknotes and reject banknotes by passing the second reject group through the banknote processing unit multiple additional times.

6. The method of claim 4, wherein the analyzing at least one of the reject groups includes passing the third reject group comprising genuine banknotes exhibiting unfit characteristics through the banknote processing unit while operating with desensitized settings operable to enable various levels of unfit genuine banknotes to be valuated.

7. The method of claim 4, further comprising transporting the first reject group comprising stranger and counterfeit banknotes to a banknote receptacle of the currency processing system dedicated to invalid banknotes.

8. The method of claim 1, wherein the banknote processing unit is operable in any of a plurality of user-selectable modes of operation, each of the user-selectable modes of operation corresponding to a distinct sensitivity level of the one or more banknote discriminating sensors in the banknote processing unit, the method further comprising receiving from a user a selection of at least one of the user-selectable modes of operations.

9. The method of claim 8, wherein at least one of the user-selectable modes of operation and the corresponding distinct sensitivity level thereof is based, at least in part, on the origin of the batch of banknotes being processed.

10. The method of claim 8, wherein at least one of the user-selectable modes of operation deactivates banknote authentication and fitness detection capabilities of the banknote processing unit.

11. The method of claim 1, further comprising transporting the valid genuine banknotes in the at least one reject group to a banknote receptacle of the currency processing system associated with valid genuine banknotes.

12. The method of claim 1, wherein the one or more banknote discriminating sensors of the banknote processing unit include at least one sensor dedicated to assessing banknote fitness and at least one sensor dedicated to assessing banknote authenticity, and wherein the analyzing at least one of the reject groups includes decreasing a sensitivity level of the at least one sensor dedicated to assessing banknote fitness without desensitizing the at least one sensor dedicated to banknote authenticity.

13. The method of claim 1, wherein the analyzing the at least one reject group is performed by an auxiliary device operatively connected to the banknote processing unit, the auxiliary device being dedicated to analyzing the reject banknotes in the reject groups.

14. A method for managing banknotes processed by an automated currency processing system, the method comprising:

receiving a batch of banknotes via a banknote input area of the currency processing system;

feeding the batch of banknotes into a banknote processing unit of the currency processing system, the banknote processing unit including one or more banknote discriminating sensors;

sorting the batch of banknotes into genuine banknotes and reject banknotes with the banknote processing unit;

categorizing the reject banknotes into a plurality of reject groups with the banknote processing unit, each of the reject groups corresponding to a respective category of rejected banknotes;

analyzing, via one or more processors and the one or more banknote discriminating sensors, at least one of the reject groups to determine if any genuine target banknotes were mischaracterized and erroneously categorized into the at least one reject group; and

crediting, via the one or more processors, a user of the currency processing system for the genuine target banknotes in the at least one reject group determined to have been mischaracterized and erroneously sorted.

15. The method of claim 14, wherein the sorting the batch of banknotes into genuine banknotes and reject banknotes is performed with the currency processing system set in a first mode of operation, the first mode of operation including increasing a sensitivity level of at least one of the one or more banknote discriminating sensors in the banknote processing unit to an increased sensitivity level.

16. The method of claim 15, wherein categorizing the reject banknotes into a plurality of reject groups is performed with the currency processing system set in a second mode of operation, the second mode of operation including decreasing a sensitivity level of at least one of the one or more banknote discriminating sensors in the banknote processing unit to a decreased sensitivity level, the decreased sensitivity level being less than the increased sensitivity level.

17. The method of claim 14, wherein the plurality of reject groups includes a first reject group comprising stranger and counterfeit banknotes, a second reject group comprising rejected banknotes appearing to be genuine and fit, and a third reject group comprising genuine banknotes exhibiting unfit characteristics.

18. The method of claim 17, wherein the analyzing at least one of the reject groups includes re-categorizing the second reject group comprising rejected banknotes appearing to be genuine and fit into genuine fit target banknotes and reject banknotes by passing the second reject group through the banknote processing unit multiple additional times.

19. The method of claim 17, wherein the analyzing at least one of the reject groups includes passing the third reject group comprising genuine banknotes exhibiting unfit characteristics through the banknote processing unit while operating with desensitized settings operable to enable various levels of unfit genuine banknotes to be valuated.

20. The method of claim 17, further comprising transporting the first reject group comprising stranger and counterfeit banknotes to a banknote receptacle of the currency processing system dedicated to invalid banknotes.

21. The method of claim 14, wherein the banknote processing unit is operable in any of a plurality of user-selectable modes of operation, each of the user-selectable modes of operation corresponding to a distinct sensitivity level of the one or more banknote discriminating sensors in the banknote processing unit, the method further comprising receiving from a user a selection of at least one of the user-selectable modes of operations.

22. The method of claim 21, wherein at least one of the user-selectable modes of operation and the corresponding distinct sensitivity level thereof is based, at least in part, on the origin of the batch of banknotes being processed.

23. The method of claim 21, wherein at least one of the user-selectable modes of operation deactivates banknote authentication and fitness detection capabilities of the banknote processing unit.

24. The method of claim 14, further comprising transporting the valid genuine banknotes in the at least one reject group to a banknote receptacle of the currency processing system associated with valid genuine banknotes.

25. The method of claim 14, wherein the one or more banknote discriminating sensors of the banknote processing unit include at least one sensor dedicated to assessing banknote fitness and at least one sensor dedicated to assessing banknote authenticity, and wherein the analyzing at least one of the reject groups includes decreasing a sensitivity level of the at least one sensor dedicated to assessing banknote fitness without desensitizing the at least one sensor dedicated to banknote authenticity.

26. The method of claim 14, wherein the analyzing the at least one reject group is performed by an auxiliary device operatively connected to the banknote processing unit, the auxiliary device being dedicated to analyzing the reject banknotes in the reject groups.

27. A currency processing system comprising:

a banknote input area configured to receive banknotes;

a plurality of banknote receptacles configured to receive and stow processed banknotes;

a banknote processing unit with one or more banknote discriminating sensors, the banknote processing unit being configured to receive banknotes from the banknote input area, process the banknotes, and output the processed banknotes to the banknote receptacles;

one or more processors; and

one or more memory devices storing instructions that, when executed by at least one of the one or more processors, cause the one or more processors to;

receive a signal indicative of a batch of banknotes being received via the banknote input area;

receive a signal indicative of the batch of banknotes being fed into the banknote processing unit;

direct the banknote processing unit to sort the batch of banknotes into genuine fit target banknotes and reject banknotes;

direct the banknote processing unit to sort the reject banknotes into a plurality of reject groups, each of the reject groups corresponding to a respective category of rejected banknotes;

receive signals from the one or more banknote discriminating sensors indicative of banknote parameters of the reject banknotes in at least one of the reject groups;

determine if any genuine target banknotes were mischaracterized and erroneously sorted into the at least one reject group; and

credit a user of the currency processing system for the genuine target banknotes in the at least one reject group determined to have been mischaracterized and erroneously sorted.

28. The currency processing system of claim 27, wherein the currency processing system is set in a first mode of operation when sorting the batch of banknotes into genuine fit target banknotes and reject banknotes, the first mode of operation including increasing a sensitivity level of at least one of the one or more banknote discriminating sensors in the banknote processing unit.

29. The currency processing system of claim 28, wherein the currency processing system is set in a second mode of operation when sorting the reject banknotes into the plurality of reject groups, the second mode of operation including decreasing a sensitivity level of at least one of the one or more banknote discriminating sensors in the banknote processing unit.

30. The currency processing system of claim 27, wherein the plurality of reject groups includes a first reject group comprising stranger and counterfeit banknotes, a second reject group comprising rejected banknotes appearing to be genuine and fit, and a third reject group comprising genuine banknotes exhibiting unfit characteristics.

31. The currency processing system of claim 30, wherein determining if any genuine target banknotes were mischaracterized and erroneously sorted includes resorting the second reject group comprising rejected banknotes appearing to be genuine and fit into genuine fit target banknotes and reject banknotes by passing the second reject group through the banknote processing unit multiple additional times.

32. The currency processing system of claim 30, wherein determining if any genuine target banknotes were mischaracterized and erroneously sorted includes passing the third reject group comprising genuine banknotes exhibiting unfit characteristics through the banknote processing unit while operating with desensitized settings operable to enable various levels of unfit genuine banknotes to be valuated.

33. The currency processing system of claim 27, wherein the banknote processing unit is operable in any of a plurality of user-selectable modes of operation, each of the user-selectable modes of operation corresponding to a distinct sensitivity level of the one or more banknote discriminating sensors in the banknote processing unit.

34. A currency processing system comprising:

a banknote input area configured to receive banknotes;

a banknote processing unit with one or more banknote discriminating sensors, the banknote processing unit being configured to receive banknotes from the banknote input area, process the banknotes, and output the processed banknotes;

one or more processors; and

one or more memory devices storing instructions that, when executed by at least one of the one or more processors, cause the one or more processors to;

receive a signal indicative of a batch of banknotes being received via the banknote input area;

receive a signal indicative of the batch of banknotes being fed into the banknote processing unit;

direct the banknote processing unit to sort the batch of banknotes into genuine banknotes and reject banknotes;

direct the banknote processing unit to categorize the reject banknotes into a plurality of reject groups, each of the reject groups corresponding to a respective category of rejected banknotes;

receive signals from the one or more banknote discriminating sensors indicative of banknote parameters of the reject banknotes in at least one of the reject groups;

determine if any genuine target banknotes were mischaracterized and erroneously sorted into the at least one reject group; and

credit a user of the currency processing system for the genuine target banknotes in the at least one reject group determined to have been mischaracterized and erroneously sorted.

35. The currency processing system of claim 34, wherein the currency processing system is set in a first mode of operation when sorting the batch of banknotes into genuine banknotes and reject banknotes, the first mode of operation including increasing a sensitivity level of at least one of the one or more banknote discriminating sensors in the banknote processing unit.

36. The currency processing system of claim 35, wherein the currency processing system is set in a second mode of operation when sorting the reject banknotes into the plurality of reject groups, the second mode of operation including decreasing a sensitivity level of at least one of the one or more banknote discriminating sensors in the banknote processing unit.

37. The currency processing system of claim 34, wherein the plurality of reject groups includes a first reject group comprising stranger and counterfeit banknotes, a second reject group comprising rejected banknotes appearing to be genuine and fit, and a third reject group comprising genuine banknotes exhibiting unfit characteristics.

38. The currency processing system of claim 37, wherein determining if any genuine target banknotes were mischaracterized and erroneously categorized includes re-categorizing the second reject group comprising rejected banknotes appearing to be genuine and fit into genuine fit target banknotes and reject banknotes by passing the second reject group through the banknote processing unit multiple additional times.

39. The currency processing system of claim 37, wherein determining if any genuine target banknotes were mischaracterized includes passing the third reject group comprising genuine banknotes exhibiting unfit characteristics through the banknote processing unit while operating with desensitized settings operable to enable various levels of unfit genuine banknotes to be valuated.

40. The currency processing system of claim 34, wherein the banknote processing unit is operable in any of a plurality of user-selectable modes of operation, each of the user-selectable modes of operation corresponding to a distinct sensitivity level of the one or more banknote discriminating sensors in the banknote processing unit.