A system and method for applying deep learning tools to machine vision, and an interface therefor.

Abstract

To provide a system and method for performing machine vision tasks using deep learning processes. [Solution] The present invention overcomes the shortcomings of the prior art by providing a vision system and method of use, as well as a GUI, for a camera assembly having an onboard processor with low to medium processing power. The vision system tool analyzes image data based on a deep learning process and generates results therefrom. The training process provides training image data to a processor located away from the onboard processor, generates the vision system tool from it, and provides a saved version of the vision system tool for runtime operation on the onboard processor. The GUI allows for manipulation of thresholds applicable to the vision system tool and improvement of the training of the vision system tool by the training process.

Claims

[Claim 1] A vision system for use with a camera assembly. A graphical user interface (GUI) having a candidate box that automatically provides one or more training candidate images used to progressively train one or more deep learning tools and generate results from them, The training candidate images include labeled images from a set of unlabeled images acquired by the camera assembly or from a storage source, A scoring process that enables labeling of one or more of the unlabeled images having features of interest, based on the confidence score assigned to the image data input to the vision system. A vision system that includes this.

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