Methods and systems for implant identification using imaging data

A computing device comprising:

• a processor;
• and
• a computer-readable medium coupled to the processor, the computer-readable medium comprising code, executable by the processor, to cause the computing device to:
• receive imaging data from an end-user computing device, the imaging data including a single image of an installed component;
• process the imaging data to identify a plurality of features associated with the installed component;
• identify a plurality of reference components associated with the plurality of features from a plurality of registered reference components;
• determine a plurality of relevance scores, each of the plurality of relevance scores being determined for one of the plurality of reference components, wherein each relevance score is based on a similarity between the imaging data and a plurality of reference images in a component model of each of the plurality of reference components, the plurality of relevance scores being determined by comparing the installed component of the imaging data to each of the plurality of reference images in the component model for each of the plurality of reference components;
• identifying a closest matching reference image of the plurality of reference images in the component model for each of the plurality of reference components;
• and calculating a similarity metric between the installed component in the imaging data and the reference component in the closet matching reference image for each of the plurality of reference components;
• identify at least one matching reference component by comparing each relevance score of the plurality of relevance scores to a threshold relevance score;
• and
• provide a component identifier and component information for each of the at least one matching reference component to the end-user computing device.

A computing device comprising:

• a processor;
• and
• a computer-readable medium coupled to the processor, the computer-readable medium comprising code, executable by the processor, to cause the computing device to:
• receive imaging data from an end-user computing device, the imaging data including a single image of an installed component;
• process the imaging data to identify a plurality of features associated with the installed component;
• identify a plurality of reference components associated with the plurality of features from a plurality of registered reference components;
• determine a plurality of relevance scores, each of the plurality of relevance scores being determined for one of the plurality of reference components, wherein each relevance score is based on a similarity between the imaging data and a plurality of reference images in a component model of each of the plurality of reference components and the plurality of relevance scores being determined by applying a component classifier algorithm to the imaging data, the classifier algorithm having been trained, using a machine learning algorithm, to classify the installed component in the imaging data based on a size, placement, and shape of the installed component in the imaging data using a plurality of classified reference images associated with the plurality of reference components;
• and determining the relevance scores for each of the reference components based on the results for the component classifier algorithm;
• identify at least one matching reference component by comparing each relevance score of the plurality of relevance scores to a threshold relevance score;
• and
• provide a component identifier and component information for each of the at least one matching reference component to the end-user computing device.

A system comprising:

• a component identification system configured to:
• receive imaging data associated with an installed component from an end-user computing device, the imaging data including a single image of an installed component;
• process the imaging data to identify a plurality of features associated with the installed component;
• identify a plurality of reference components associated with the plurality of features from a plurality of registered reference components;
• determine a plurality of relevance scores, each of the plurality of relevance scores being determined for one of the plurality of reference components, wherein each relevance score is based on a similarity between the imaging data and a plurality of reference images in a component model of each of the plurality of reference components, the plurality of relevance scores being determined by comparing the installed component of the imaging data to each of the plurality of reference images in the component model for each of the plurality of reference components;
• identifying a closest matching reference image of the plurality of reference images in the component model for each of the plurality of reference components;
• and calculating a similarity metric between the installed component in the imaging data and the reference component in the closest matching reference image for each of the plurality of reference components;
• identify at least one matching reference component by comparing each relevance score of the plurality of relevance scores to a threshold relevance score;
• and
• transmit a component identifier and component information for each of the at least one matching reference component to the end-user computing device;
• the end-user computing device configured to:
• obtain the imaging data associated with the installed component;
• transmit the imaging data to the component identification system;
• receive the component identifier and component information for each of the at least one matching reference component from the component identification system;
• and
• display the component information to a user.