Media validation processing
Ultraviolet (UV) light illuminates a valuable media item along a pathway of a valuable media depository and UV signal readings are captured in response to the illuminated valuable media item. The signal readings are adjusted to account for any integrated metallic material and for any contamination present on the media item or any contamination that is a result of the media item having been washed. The adjusted signal readings are processed to determine whether the media item is genuine and/or fit for being further processed within the depository.
1. A method, comprising:
obtaining Ultraviolet (UV) readings in response to illuminating a currency note being transported within a Self-Service Terminal (SST);
identifying a first portion of the readings for the UV readings that is indicative of a metallic material being integrated into the currency note;
acquiring a second portion of the readings from the UV readings that is indicative of a contamination being present on the currency note;
reshaping the UV readings as new readings using the first portion and the second portion;
extracting a vector of features from the new readings; and
determining whether the currency note is acceptable or unacceptable for further processing within the SST by comparing the vector to a model template for acceptable and unacceptable currency notes.
2. The method of claim 1 , wherein identifying further includes ensure that an area of the first portion matches a predefined area associated with the metallic material for a predefined currency note.
3. The method of claim 1 , wherein acquiring further includes ensuring that the second portion falls within a predefined tolerance defined for a predefined currency note.
4. The method of claim 1 , wherein reshaping further includes sorting the first portion within the UV readings.
5. The method of claim 4 , wherein sorting further includes calculating the new readings as sorted UV readings excluding a portion decided by a product of a length of the first portion plus a sum of the first portion and the second portion.
6. The method of claim 5 , wherein calculating further includes training the model template for calculating other instances of the new readings with:
known counterfeit currency notes, known genuine currency notes, known contaminated currency notes, and known washed currency notes.