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System and method for toy recognition

  • US 10,213,692 B2
  • Filed: 11/09/2015
  • Issued: 02/26/2019
  • Est. Priority Date: 11/10/2014
  • Status: Active Grant
First Claim
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1. A system for recognizing real-world toy objects from one or more images, the system comprising a model creation system and a recognition system:

  • wherein the model creation system comprises one or more processors and a training database and wherein the training database is configured to store annotated digital images, each annotated digital image depicting a real-world toy object and being annotated with an object identifier identifying the depicted real-world toy object;

    wherein the model creation system is configured to;

    train a convolutional classification model based on at least a subset of the annotated digital images to predict a matching object identifier when the convolutional classification model is presented with a digital image of a real-world toy object, wherein the recognition system comprises an image capturing device and one or more processors and wherein the recognition system is configured to;

    capture at least one image of a real-world toy object;

    use the trained convolutional classification model to predict a matching object identifier from the captured image;

    obtain, based on the predicted object identifier, stored information including connectivity information indicative of how the real-world toy object can be detachably connected to toy construction elements of a toy construction system; and

    insert a virtual toy object corresponding to the recognized physical toy object into a virtual world as a virtual construction element attached to a virtual construction model.

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