System and method for detecting 3D printing errors

1. A method for detecting a 3D printing error, comprising:

generating at least one image of a first 3D print job creating an object, wherein the at least one image of a first 3D print job comprises at least one calibration image;

generating at least one image of a second 3D print job, wherein the second 3D print job is creating the same object as the first 3D print job;

comparing at least one pixel of the at least one image of the second 3D job to a corresponding at least one pixel of the at least one calibration image;

determining at least one pixel difference indicator between the at least one pixel of the at least one image of the second 3D job and the corresponding at least one pixel of the at least one calibration image, the at least one pixel difference indicator having an intensity or brightness value from 0 to 255, and wherein the higher the value of the pixel difference indicator the greater likelihood of print error, and wherein the at least one pixel difference indicator is determined based on the difference between r g b values of a pixel in the at least one image of the second 3D print job and a corresponding pixel in the at least one calibration image; and

triggering an error signal if the at least one pixel difference indicator exceeds a threshold of different pixels and failed layers.

2. The method of claim 1 wherein the at least one image of a first 3D print job creating and the at least one image of a second 3D print job comprise digital images.

3. The method of claim 1 where in the threshold is predetermined.

4. The method of claim 1 further comprising the step of transmitting a notification signal to at least one user upon triggering of the error signal.

5. A system for detecting a 3D printing error, comprising:

an image capturing device for generating at least one image of a first 3D print job and at least one image of a second 3D print job, wherein the second 3D print job is creating the same object as the first 3D print job, and wherein the at least one image of the first 3D print job comprises at least one calibration image; and

an error detection processor for (1) comparing at least one pixel of the at least one image of the second 3D job to the corresponding at least one pixel of the at least one calibration image, (2) determining at least one pixel difference indicator between the at least one pixel of the at least one image of the second 3D job and the corresponding at least one pixel of the at least one calibration image, the at least one pixel difference indicator having an intensity or brightness value from 0 to 255, and wherein the higher the value of the pixel difference indicator the greater likelihood of print error, and wherein the at least one pixel difference indicator is determined based on the difference between r g b values of a pixel in the at least one image of the second 3D print job and a corresponding pixel in the at least one calibration image, and (3) triggering an error signal if the at least one pixel difference indicator exceeds a threshold of different pixels and failed layers.

6. The system of claim 5 wherein the image capturing device is movably attached to a 3D printer.

7. The system of claim 6 wherein the image capturing device is movable between a first printing position and second image capturing position.

8. The system of claim 5 further comprising a storage device for storing the least one calibration image.

9. The system of claim 5 wherein the at least one image of the second 3D print job is captured after a predetermined number of layers of have been printed.

10. The system of claim 5 wherein the error detection processor determines the difference between the at least one image of the second 3D job and the at least one calibration image on a pixel-by-pixel basis.

11. The system of claim 10 wherein the error detection processor determines whether a threshold of different pixels has been passed or exceeded.

12. The system of claim 11 wherein the error detection processor determines whether more than a predetermined number of layers have failed.

13. The system of claim 5 wherein the error detection processor transmits the error signal to a user over a communications network.

14. A method for detecting a 3D printing error, comprising:

generating at least one image of a first 3D print job creating an object, wherein the at least one image of a first 3D print job comprises at least one calibration image;

storing the at least one calibration image in a storage device;

determining whether a predetermined number of layers of a second 3D print job have been printed, wherein the second 3D print job is creating the same object as the first 3D print job;

generating at least one image of the second 3D print job;

comparing the at least one image of the second 3D job to the corresponding at least one calibration image by analyzing corresponding pixels of the images;

generating a pixel difference indicator for each pixel analyzed, each pixel difference indicator having an intensity or brightness value from 0 to 255, wherein the higher the value of the pixel difference indicator the greater likelihood of print error, and wherein the pixel difference indicator is determined based on the difference between r g b values of a pixel in the at least one image of the second 3D print job and a corresponding pixel in the at least one calibration image;

determining whether a threshold number of pixel differences has been exceeded;

determining whether more than a predetermined number of layers have failed; and

generating an error signal if a difference between the at least one image of the second 3D job and the at least one calibration image exceeds a threshold of different pixels and failed layers.