Donation receiving apparatus has a denomination discriminator interfacing a storage area. The denomination discriminator has at least one sensor for sensing at least one physical characteristic of currency passing therethrough. A device controller interfaces a mobile communication device interface and the denomination discriminator. In use, the device controller establishes communication with the mobile communication device, detects a denomination using the at least one physical characteristic and transmits the denomination to the mobile communication device. The mobile communication device may execute an application controller which displays a graphical user interface on a digital display thereof which may display the denomination.

Donation receiving apparatus has a denomination discriminator interfacing a storage area. The denomination discriminator has at least one sensor for sensing at least one physical characteristic of currency passing therethrough. A device controller interfaces a mobile communication device interface and the denomination discriminator. In use, the device controller establishes communication with the mobile communication device, detects a denomination using the at least one physical characteristic and transmits the denomination to the mobile communication device. The mobile communication device may execute an application controller which displays a graphical user interface on a digital display thereof which may display the denomination.

The present invention relates to a method, a sensor, a sensor unit and a bank-note processing machine for checking the completeness and/or authenticity of value documents. A value document comprises at least one machine-readable feature substance in at the least two locations. According to the method, the value document is excited at least locally at measuring locations. Furthermore, a feature intensity with respect to the machine-readable feature substance is captured location-resolved at several different locations of the value document. The location-based feature intensities are classified location-based with the help of a threshold value. Furthermore, location-based limits of a location distribution to be expected of the machine-readable feature substance are determined. Finally, a location-based distribution of the classified feature intensities is assessed.

The present invention relates to a method, a sensor, a sensor unit and a bank-note processing machine for checking the completeness and/or authenticity of value documents. A value document comprises at least one machine-readable feature substance in at the least two locations. According to the method, the value document is excited at least locally at measuring locations. Furthermore, a feature intensity with respect to the machine-readable feature substance is captured location-resolved at several different locations of the value document. The location-based feature intensities are classified location-based with the help of a threshold value. Furthermore, location-based limits of a location distribution to be expected of the machine-readable feature substance are determined. Finally, a location-based distribution of the classified feature intensities is assessed.

A method of detecting a counterfeit item using a contactless scanner includes contactlessly scanning at least a portion of an item to generate a scanned image of the at least a portion of the item, wherein the at least a portion of the item comprises a graphic, identifying elements in the scanned image that correspond to elements in the graphic, measuring the identified elements to generate a plurality of element measurements, determining whether the item is counterfeit based on a comparison between at least one element measurement of the plurality of element measurements and at least one reference element measurement that is associated with an authentic version of the item, and in response to determining that the item is counterfeit, generating an alert indicating a detection of a counterfeit item.

A method of detecting a counterfeit item using a contactless scanner includes contactlessly scanning at least a portion of an item to generate a scanned image of the at least a portion of the item, wherein the at least a portion of the item comprises a graphic, identifying elements in the scanned image that correspond to elements in the graphic, measuring the identified elements to generate a plurality of element measurements, determining whether the item is counterfeit based on a comparison between at least one element measurement of the plurality of element measurements and at least one reference element measurement that is associated with an authentic version of the item, and in response to determining that the item is counterfeit, generating an alert indicating a detection of a counterfeit item.

A method for testing a value document having a luminescence feature involves guiding the value document past a test sensor in a transport direction. A scanning sequence occurs that repeats itself multiple times upon guiding the value document past the test sensor. The method involves irradiating a test region of the test sensor such that the test radiation is arranged to be remitted by the value document at least partially in a detection spectral range of the test sensor. Excitation radiation is arranged to cause an emission radiation of the luminescence feature in the detection spectral range. The method further involves scanning at least one location-dependent remission spectral value in the test region in the first irradiation phase, irradiating the test region only with the excitation radiation in a second irradiation phase, and scanning at least one location-dependent emission spectral value in the test region after the first irradiation phase.

A method of detecting a counterfeit item using a contactless scanner includes contactlessly scanning at least a portion of an item to generate a scanned image of the at least a portion of the item, wherein the at least a portion of the item comprises a graphic, identifying elements in the scanned image that correspond to elements in the graphic, measuring the identified elements to generate a plurality of element measurements, determining whether the item is counterfeit based on a comparison between at least one element measurement of the plurality of element measurements and at least one reference element measurement that is associated with an authentic version of the item, and in response to determining that the item is counterfeit, generating an alert indicating a detection of a counterfeit item.

A method of detecting a counterfeit item using a contactless scanner includes contactlessly scanning at least a portion of an item to generate a scanned image of the at least a portion of the item, wherein the at least a portion of the item comprises a graphic, identifying elements in the scanned image that correspond to elements in the graphic, measuring the identified elements to generate a plurality of element measurements, determining whether the item is counterfeit based on a comparison between at least one element measurement of the plurality of element measurements and at least one reference element measurement that is associated with an authentic version of the item, and in response to determining that the item is counterfeit, generating an alert indicating a detection of a counterfeit item.

The present invention relates to a method, a sensor, a sensor unit and a bank-note processing machine for checking the completeness and/or authenticity of value documents. A value document comprises at least one machine-readable feature substance in at the least two locations. According to the method, the value document is excited at least locally at measuring locations. Furthermore, a feature intensity with respect to the machine-readable feature substance is captured location-resolved at several different locations of the value document. The location-based feature intensities are classified location-based with the help of a threshold value. Furthermore, location-based limits of a location distribution to be expected of the machine-readable feature substance are determined. Finally, a location-based distribution of the classified feature intensities is assessed.