Method and system for weighing mail pieces
View Patent ↗A method and system is described for determining the physical weights of flat articles being sorted without actually weighing the articles. Such a method includes the steps of; receiving volume information for individual flat articles from sensors, comparing that resultant data to classifiers stored in computer memory, and assigning a weight value associated to the physical flat article.
1. A computer implemented method for determining the weights of flat articles being sorted, comprising:
receiving sensor information resulting in data for individual flat articles, which data comprises classifier physical attributes other than weight of the flat articles;
building a mathematical three-dimensional surface model of each flat article based on the data;
comparing each three-dimensional surface model to historical models stored in computer memory;
comparing the data to classifiers stored in the computer memory; and
assigning a weight value to each flat article based on classifier matches and the comparison of the three-dimensional models with the historical models.
2. The method of claim 1 , wherein the flat articles are mail pieces.
3. The method in claim 1 , further comprising building the classifiers by sampling target mail for the purpose of calculating weights, which sampling involves measuring classifier physical attributes of the target mail and weighing the target mail.
4. The method of claim 1 , wherein the classifiers comprise ranges of criteria including physical dimensions of a mail piece and raised areas detected on a face of the mail piece.
5. The method of claim 4 , wherein the ranges include length, height, width and presence or absence of an area of enhanced thickness of a predetermined shape.
6. The method of claim 1 , wherein the sensor information is produced from a plurality of proximity sensors arranged in a matrix.
7. The method of claim 1 , wherein the sensor information is produced from a series of detection sensors spaced to trigger at different depths.
8. The method of claim 1 , wherein the data includes information from a sensor that detects ferrous materials.
9. The method of claim 1 , further comprising building a table of a thickness profile of each flat article based on the sensor information.
10. A computer implemented system for determining the weights of flat articles being sorted, comprising:
a computer;
a computer memory; and
a plurality of sensors, wherein the system is configured to
receive sensor information from the sensors resulting in data for individual flat articles, which data comprises classifier physical attributes other than weight of the flat articles;
build a mathematical three-dimensional surface model of each flat article based on the data;
compare each three-dimensional surface model to historical models stored in the computer memory;
compare the data to classifiers stored in the computer memory; and
assign a weight value to each flat article based on classifier matches and the comparison of the three-dimensional surface models with the historical models.
11. The system of claim 10 , wherein the sensors are positioned on a mail sorting machine to generate the sensor data.
12. The system of claim 10 , wherein the sensor information is produced from a plurality of proximity sensors arranged in a matrix.
13. The system of claim 10 , wherein the sensor information is produced from a series of detection sensors spaced to trigger at different depths.
14. The system of claim 10 , wherein the data includes information from a sensor that detects ferrous materials.
15. The system of claim 10 , further comprising building a table of a thickness profile of each flat article based on the sensor information.
16. A computer implemented method for determining the weights of flat articles being sorted, comprising:
receiving sensor information resulting in data for individual flat articles;
building a mathematical three-dimensional surface model of each flat article based on the data;
comparing each three-dimensional surface model to historical models stored in computer memory, each historical model having an assigned weight value;
assigning a weight value to each flat article based the comparison.
17. The method of claim 16 , wherein the sensor information is produced from a plurality of proximity sensors arranged in a matrix.
18. The method of claim 16 , wherein the sensor information is produced from a series of detection sensors spaced to trigger at different depths.
19. The method of claim 16 , wherein the data includes information from a sensor that detects ferrous materials.
20. The method of claim 16 , further comprising building a grid of a thickness profile of each flat article based on the sensor information.