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System and method of automatically determining material reaction or sensitivity using images

  • US 9,654,742 B2
  • Filed: 11/30/2015
  • Issued: 05/16/2017
  • Est. Priority Date: 11/30/2012
  • Status: Expired due to Fees
First Claim
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1. A system for evaluating a reaction event of a material comprising:

  • an image capturing device that captures one or more image frames of the reaction event;

    a storage device coupled to the imaging capturing device for storing the one or more image frames in memory;

    at least one sensitivity testing device for conducting a test on the material; and

    a computing device comprising one or more processors;

    wherein the storage device stores instructions that, when executed by one or more processors, cause the processors to,quantify one or more reaction event characteristics based on the image frames, wherein quantifying the one or more reaction event characteristics comprises calculating one or more identifiers comprising brightness, buoyancy, shape, or uniformity of the reaction event; and

    wherein the instructions further cause the one or more processors to determine and store a characterization of the reaction event as a go or no-go reaction based the one or more reaction event characteristics;

    wherein calculating the one or more identifiers further comprises calculating color;

    wherein the image capture device is configured to capture the one or more image frames are captured based on a triggering event that begins a capture session and an expected length of a baseline reaction event or the reaction event that ends the capture session, wherein the one or more frames are recorded and identified as one or more frames of interest;

    wherein the instructions further cause the one or more processors to identify one or more significant frames from among the frames of interest, wherein the instructions cause the one or more processors to identify the one or more significant frames by analyzing each of the frames of interest for a change in an image property and identifying a frame as a significant frame when there is a change in the image property;

    wherein the instructions further cause the one or more processors to convert a color image for each of the significant frames to a grayscale image; and

    wherein the instructions further cause the one or more processors to filter the grayscale image by giving each pixel a grayscale brightness value, wherein instructions cause the one or more processors to attenuate the grayscale brightness value as a distance from a center of a brightest point increases.

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