Abstract Methods and validation apparatus for achieving improved acceptance and rejection for coins, bills and other currency items. One aspect includes modifying item acceptance criteria by creating and defining three-dimensional acceptance clusters, the data for which are stored in look-up tables in memory associated with a microprocessor. A second aspect involves fraud prevention by temporarily tightening or readjusting item acceptance criteria when a potential fraud attempt is detected. A third aspect relates to minimizing the effects of counterfeit items such as slugs on the self-adjustment process for the item acceptance criteria. A final aspect relates to calculation of a relative value of the acceptance criteria in order to conserve memory space and minimize computation time.
A method of operating a money validation system having at least two sensors and a processing and control circuit, comprising: defining an activity vector originating at the zero electrical activity point and terminating at an idle operating point for the system; sensing data with each sensor representative of at least two characteristics of each of a plurality of genuine money items; combining the sensed data into a plurality of acceptance vectors; mapping the acceptance vectors onto a coordinate system; defining a mean vector having its origin at the idle operating point and terminating at the center of the mapped region; defining a tolerance value for the mean vector; generating an acceptance region based on the tolerance value and the mean vector; sensing an inserted item and generating data representative of said at least two characteristics; converting the generated data of the inserted item into a test vector; comparing the test vector to the acceptance region; and accepting the item as a genuine item if the test vector falls within the acceptance region.
Claim 2
Independent Claim
172 words
A method of operating a money validation system having at least two sensors and a processing and control circuit, comprising: defining an activity vector originating at the zero electrical activity point and terminating at an idle operating point for the system; sensing data with each sensor representative of at least two characteristics of each of a plurality of genuine money items; combining the sensed data into a plurality of acceptance vectors; mapping the acceptance vectors onto a coordinate system; defining a mean vector having its origin at the idle operating point and terminating at the center of the mapped region; defining a tolerance value for the mean vector; generating an acceptance region based on the tolerance value and the mean vector; sensing an inserted item and generating data representative of said at least two characteristics; converting the generated data of the inserted item into a test vector; comparing the test vector to the acceptance region; and accepting the item as a genuine item if the test vector falls within the acceptance region.
Claim 3
Dependent Claim
16 words
The method of claim 1, further comprising: modifying the activity vector in response to environmental factors.
Claim 4
Dependent Claim
168 words
The method of claim 1, further comprising: sensing data with each sensor representative of at least two characteristics of each of a plurality of genuine money items of at least one other item type; combining the sensed data into a plurality of acceptance vectors for each of the different item types; mapping the acceptance vectors onto a coordinate system according to item type; defining mean vectors for each item type having an origin at the idle operating point and terminating at the center of each of the mapped regions; defining a tolerance value for each mean vector; generating acceptance regions based on the tolerance values and mean vectors; storing the acceptance regions; sensing an inserted item and generating test data representative of said at least two characteristics; converting the generated test data into a test vector; comparing the test vector to the stored acceptance regions; and accepting the inserted item as genuine money of a particular type if the test vector falls within one of the acceptance regions.
Claim 5
Dependent Claim
73 words
The method of claim 3, further comprising: generating a modification constant for translating each mean vector to correspond to a predetermined first acceptance region mean vector; modifying all of the acceptance regions, with the exception of the first acceptance region, with the corresponding modification constant; and, storing the modified acceptance region values which do not match those of the first acceptance region in memory along with the modification constant to conserve memory space.
Claim 6
Dependent Claim
162 words
A money validation apparatus, comprising: at least one sensor circuit which senses at least two characteristics of money items; means for defining an idle operating point of the system; means for converting sensed characteristic data for genuine items into acceptance vectors having an origin at the idle operating point; means for mapping the acceptance vectors onto a coordinate system; means for defining a mean vector having an origin at the idle operating point and terminating at the center of the mapped region; means for defining a tolerance value; means for generating an acceptance region based on the tolerance value and the mean vector; means for sensing an inserted item and generating data representative of said at least two characteristics; means for converting the generated data of the inserted item into a test vector; and, means for comparing the test vector to the acceptance region and for accepting the item as a genuine item if the test vector falls within the acceptance region.
Claim 7
Dependent Claim
162 words
A money validation apparatus, comprising: at least one sensor circuit which senses at least two characteristics of money items; means for defining an idle operating point of the system; means for converting sensed characteristic data for genuine items into acceptance vectors having an origin at the idle operating point; means for mapping the acceptance vectors onto a coordinate system; means for defining a mean vector having an origin at the idle operating point and terminating at the center of the mapped region; means for defining a tolerance value; means for generating an acceptance region based on the tolerance value and the mean vector; means for sensing an inserted item and generating data representative of said at least two characteristics; means for converting the generated data of the inserted item into a test vector; and, means for comparing the test vector to the acceptance region and for accepting the item as a genuine item if the test vector falls within the acceptance region.