METHOD AND APPARATUS FOR CURRENCY DISCRIMINATION AND COUNTING

Patent №

US 6,636,624

Granted

2003-10-21

Filed 2000

Owner

CUMMINS-ALLISON CORP.

Lab

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09733117

An improved method and apparatus for discriminating between currency bills of different denominations uses an optical sensing and correlation technique based on the sensing of bill reflectance characteristics obtained by illuminating and scanning a bill along its narrow dimension. A series of detected reflectance signals are obtained by sampling and digitally processing, under microprocessor control, the reflected light at a plurality of predefined sample points as a currency bill is moved across an illuminated strip with its narrow dimension parallel to the direction of transport of the bill. The sample data is subjected to digital processing, including a normalizing process, whereby the reflectance data represents a characteristic pattern that is unique for a given bill denomination and incorporates sufficient distinguishing features between characteristic patterns for discriminating between different currency denominations. A plurality of master characteristic patterns are generated and stored using original bills for each denomination of currency to be detected. The pattern generated by scanning a bill under test and processing the data samples is compared with each of the prestored master patterns to generate, for each comparison, a correlation number representing the extent of similarity between corresponding ones of the plurality of data samples for the compared patterns. Denomination identification is based on designating the scanned bill as belonging to the denomination corresponding to the stored master pattern for which the correlation number resulting from pattern comparison is determined to be the highest, subject to a bi-level threshold of correlation.

VisionG07D 7/128G06Q 20/18G07D 7/12G07D 7/1205G07D 7/16G07D 7/162G07D 7/20G07D 11/10+1 more

AI classification

Vision0.59
Knowledge representation0.27
Planning0.01
Natural language0.00
AI hardware0.00
Speech0.00
Evolutionary computation0.00
Machine learning0.00

Ownership

CUMMINS-ALLISON CORP.

assignment · 208450089

Assignors

RATERMAN, DONALD E., GRAVES, BRADFORD T., STROMME, LARS R., BAUCH, AARON M.

On an employer assignment, the assignors are typically the inventors.

From the same owner

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