PRODUCTION LINE CONFORMANCE MEASUREMENT TECHNIQUES USING INTELLIGENT IMAGE CROPPING AND CATEGORICAL VALIDATION MACHINE LEARNING MODELS

Abstract: various embodiments of the present disclosure provide image and prediction processing techniques for providing improved image-based prediction. the techniques may include generating a transformed image from a production line image corresponding to a primary orientation and the generating one or more derivative transformed images for the production line image, each corresponding to one of one or more derivative orientations from the primary orientation. the techniques may include generating, using a categorical validation machine learning model, a plurality of validation predictions for the production line image based on the transformed image and the one or more derivative transformed images. the techniques include generating an aggregate validation prediction based on the plurality of validation predictions and initiating the performance of the prediction-based action based on the aggregate validation prediction.

Inventor(s): Colby A. WRIGHT, Thomas R. GILBERTSON, Haylea Tricia PORTER, Raja MUKHERJI, Karen M. HARTE, Connor David FERGESEN

CPC Classification: G06T11/60 (Editing figures and text; Combining figures or text)

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