Image analysis – Learning systems – Trainable classifiers or pattern recognizers
Reexamination Certificate
2007-12-25
2007-12-25
Mariam, Daniel (Department: 2624)
Image analysis
Learning systems
Trainable classifiers or pattern recognizers
C382S141000, C382S218000
Reexamination Certificate
active
11054815
ABSTRACT:
A method and system to monitor randomly oriented objects on a process line are disclosed. A color camera is used initially to collect a set of training images from a set of training objects on a process line. The training images represent various random spatial orientations of the training objects with respect to the color camera. The training objects serve as the standard for the process. The training images are stored in a computer-based platform. The color camera is then used to capture images of monitored objects as the monitored objects pass by the color camera on the process line. The monitored objects have a random spatial orientation with respect to the color camera as the monitored objects pass through the field-of-view of the color camera. The captured images of the monitored objects are processed by the computer-based platform and compared to the training images in order to determine if certain characteristic parameters of the monitored objects have deviated from those same characteristic parameters of the training objects. If so, the process may be adjusted to correct for the deviations in order to bring the process back into tolerance.
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Applied Vision Company LLC
Hahn Loeser & Parks LLP
Mariam Daniel
Muzilla David J.
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