Techniques for extracting machine-readable information from p&ids
AssigneeBentley Systems, Incorporated
InventorsMarc-André Gardner, Karl-Alexandre Jahjah
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AssigneeBentley Systems, Incorporated
InventorsMarc-André Gardner, Karl-Alexandre Jahjah
Estimating the term…
In example embodiments, techniques are provided for using machine learning to extract machine-readable labels for text boxes and symbols in P&IDs in image-only formats. A P&ID data extraction application uses an optical character recognition (OCR) algorithm to predict labels for text boxes in a P&ID. The P&ID data extraction application uses a first machine learning algorithm to detect symbols in the P&ID and return a predicted bounding box and predicted class of equipment for each symbol. One or more of the predicted bounding boxes may be decimate by non-maximum suppression to avoid overlapping detections. The P&ID data extraction application uses a second machine learning algorithm to infer properties for each detected symbol having a remaining predicted bounding box. The P&ID data extraction application stores the predicted bounding box and a label including the predicted class of equipment and inferred properties in a machine-readable format.
A method for extracting machine-readable labels for text boxes and symbols in piping and instrumentation drawings (P&IDs) in image-only formats, comprising:
A computing device comprising:
A non-transitory computing device readable medium having instructions stored thereon, the instructions when executed by one or more computing devices operable to:
Dependencies are inferred from the claim text.