Audio detection of medium jam
A method of indicating a medium jam along a medium transport path; a plurality of microphones for detecting the sound of the medium being transported as it enters medium transport path and producing a signal representing the sound; a plurality of microphones for detecting the sound of the medium being transported in the medium transport path and producing a signal representing the sound in the medium transport; a plurality of microphones for detecting the sound of the medium being existing the medium transport path and producing a signal representing the sound of the medium existing the medium transport; a processor for producing sound values from the signal and computing the maximum sound responsive to the sound values per each microphone, and indicating the medium jam responsive to the sound values.
1. A system for calibrating jam detection components within a media transport device, the system comprising:
a transport path within the media transport device;
a plurality of rollers configured to move media along the transport path;
at least one microphone located along the transport path and configured to receive signals indicative of the noise of media being transported; and
a system processing unit coupled to a memory, the system processing unit configured to:
retrieve detected sound values from the at least one microphone for a calibration region along the transport path;
compute a loudness profile from the detected sound values;
determine the maximum loudness of the detected sound values to produce a calibration loudness;
compare the calibration loudness to a default calibration value and an acceptable range to determine if it is acceptable.
2. The system of claim 1 , wherein, if the calibration loudness is not within the acceptable range, the system processing unit is further configured to:
determine if the calibration loudness is greater than or less than the default calibration value.
3. The system of claim 2 , wherein, if the calibration loudness is greater than the default calibration value, the system processing unit is configured to increase the default calibration value for the at least one microphone.
4. The system of claim 3 , wherein the system processing unit is further configured to increase threshold loudness values stored in the memory, wherein the threshold loudness values are used to determine the presence of a jam in the media transport device.
5. The system of claim 4 , wherein system processing unit is configured to determine the threshold loudness values through a training program, wherein the threshold values may be generic values for all media types or may be specific to a particular type of media being transported.
6. The system of claim 5 , wherein the training program includes capturing sound profiles with the at least one microphone during normal passage of each of a plurality of types of media being transported along the transport path, storing the sound profiles within a library in the memory, computing maximum values for each sound profile in the library, and setting the maximum values as the threshold values.
7. The system of claim 2 , wherein, if the calibration value is less than the default calibration, the system processing unit is configured to decrease threshold loudness values stored in the memory, wherein the threshold loudness values are used to determine the presence of a jam in the media transport device.
8. The system of claim 7 , wherein system processing unit is configured to determine the threshold loudness values through a training program, wherein the threshold values may be generic values for all media types or may be specific to a particular type of media being transported.
9. The system of claim 8 , wherein the training program includes capturing sound profiles with the at least one microphone during normal passage of each of a plurality of types of media being transported along the transport path, storing the sound profiles within a library in the memory, computing maximum values for each sound profile in the library, and setting the maximum values as the threshold values.
10. The system of claim 1 , wherein the system processing unit is further configured to generate an audible or visual alert to an operator that maintenance or replacement of parts may be required based on a change in the loudness values.
11. A method for calibrating jam detection components within a media transport device, the system comprising:
moving media along a transport path within a media transport device;
retrieving detected sound values with a system processing unit coupled to a memory, from at least one microphone located along the transport path and configured to receive signals indicative of the noise of the media being transported, for a calibration region along the transport path;
computing a loudness profile from the detected sound values with the system processing unit;
determining the maximum loudness of the detected sound values to produce a calibration loudness with the system processing unit; and
comparing, with the system processing unit, the calibration loudness to a default calibration value and an acceptable range to determine if it is acceptable.
12. The method of claim 11 , wherein, if the calibration loudness is not within the acceptable range, the system processing unit further:
determines if the calibration loudness is greater than or less than the default calibration value.
13. The method of claim 12 , wherein, if the calibration loudness is greater than the default calibration value, the system processing unit increases the default calibration value for the at least one microphone.
14. The method of claim 13 , wherein the system processing unit increases threshold loudness values stored in the memory, wherein the threshold loudness values are used to determine the presence of a jam in the media transport device.
15. The method of claim 14 , wherein the system processing unit determines the threshold loudness values through a training program, wherein the threshold values may be generic values for all media types or may be specific to a particular type of media being transported.
16. The method of claim 15 , wherein the training program includes capturing sound profiles with the at least one microphone during normal passage of each of a plurality of types of media being transported along the transport path, storing the sound profiles within a library in the memory, computing maximum values for each sound profile in the library, and setting the maximum values as the threshold values.
17. The method of claim 12 , wherein, if the calibration value is less than the default calibration the system processing unit decreases threshold loudness values stored in the memory, wherein the threshold loudness values are used to determine the presence of a jam in the media transport device.
18. The method of claim 17 , wherein the system processing unit determines the threshold loudness values through a training program, wherein the threshold values may be generic values for all media types or may be specific to a particular type of media being transported.
19. The method of claim 18 , wherein the training program includes capturing sound profiles with the at least one microphone during normal passage of each of a plurality of types of media being transported along the transport path, storing the sound profiles within a library in the memory, computing maximum values for each sound profile in the library, and setting the maximum values as the threshold values.
20. The method of claim 11 , wherein the system processing unit generates an audible or visual alert to an operator that maintenance or replacement of parts may be required based on a change in the loudness values.