Object imaging and detection systems and methods
AssigneeDrilldocs Company
InventorsFrancois Ruel, Martin E. Oehlbeck, Deep Rajendrakumar Joshi, Calvin Stuart Holt
Life of this patent
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Abstract
A method including selecting image data of a mechanical mud separation machines (“MMSM”) to detect objects in an object flow and other operational conditions at the MMSM. The image data may be processed by a Deep Neural Network to identify objects in the object flow, operational parameters of the MMSM, and environmental conditions. Additional image data may be selected for additional processing based on the results of the analysis.
Claims13
A computer implemented method comprising:
- receiving a field of view comprising image data from an imaging device capturing images of a mechanical mud separation machine (“MMSM”);
- selecting, from the image data, a region of interest (“ROI”), wherein selecting the ROI includes:
- identifying a ledge of an MMSM within the image data, the ledge being a location where objects in an object flow begin to free fall;
- setting a top edge of the ROI at the ledge;
- identifying a frames per second of an imaging device capturing the image data;
- calculating a vertical length of the ROI based on the frames per second of the imaging device and the ledge;
- associating the image data with a timestamp that corresponds to a time at which the image data was captured by the imaging device.
A non-transitory computer-readable storage device storing instructions that, when executed, perform the method of
- receiving a field of view comprising image data from an imaging device capturing images of a mechanical mud separation machine (“MMSM”);
- selecting, from the image data, a region of interest (“ROI”), wherein selecting the ROI includes:
- identifying a ledge of an MMSM within the image data, the ledge being a location where objects in an object flow begin to free fall;
- setting a top edge of the ROI at the ledge;
- identifying a frames per second of an imaging device providing the image data;
- calculating a vertical length of the ROI based on the frames per second of the imaging device and the ledge;
- associating the image data with a timestamp that corresponds to a time at which the image data was captured by the imaging device.
Dependencies are inferred from the claim text.