COMPONENT HEALTH MONITORING SYSTEM USING COMPUTER VISION

Abstract COMPONENT HEALTH MONITORING SYSTEM USING COMPUTER VISION A component health monitoring system may include an optical system configured to irradiate an area containing a work implement (22) and including a surface of a component (24) to be inspected in a position mounted on the work implemen...

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Hauptverfasser: HERRERA DE KONTZ, Maria Cristina, DANDIBHOTLA, Venkata Bhagavathi, MASCARENHAS, Aloke Jude
Format: Patent
Sprache:eng
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Zusammenfassung:Abstract COMPONENT HEALTH MONITORING SYSTEM USING COMPUTER VISION A component health monitoring system may include an optical system configured to irradiate an area containing a work implement (22) and including a surface of a component (24) to be inspected in a position mounted on the work implement (22), and a sensor configured to capture a target image of the area. An image processor may receive the target image from the sensor and analyze the target image, determine a first feature set including directional changes in image intensity for the target image, retrieve a reference image from a memory, and determine a second feature set for the reference image. The image processor may also build and train a model for use by a classifier that segregates feature sets determined from a plurality of target images into a first classification that includes features that characterize a portion of an image including the component (24) with dimensions that fall within acceptable thresholds, and a second classification. A notification module notifies an operator of the machine (10) when the image processor classifies a new target image as falling within the second classification. 2/2 15-1226 210 CAPTURE TARGET IMAGES 210 212 RETRIEVE REFERENCE IMAGES OF IMPLEMENT WITH HEALTHY COMPONENTS 214 PROCESS TARGET IMAGES AND REFERENCE IMAGES TO DETERMINE DIRECTIONAL CHANGES IN IMAGE INTENSITY AS FEATURE SETS EXTRACTED FROM IMAGES 216 BUILD AND TRAIN A MODEL OF FEATURE SETS FOR TARGET IMAGES WITH HEALTHY COMPONENTS 218 CLASSIFY TARGET IMAGES BY COMPARISON OF FEATURE SETS TO MODEL 220 1'1 NOTIFY OPERATOR WHEN TARGET IMAGE DOES NOT FALL WITHIN CLASSIFICATION FOR HEALTHYCOMPONENTS