According to GlobalData’s company profile on Mattel, was a key innovation area identified from patents. Mattel's grant share as of February 2024 was 63%. Grant share is based on the ratio of number of grants to total number of patents.

Toy object identification using electrical tomography measurements

A recently granted patent (Publication Number: US11890550B2) outlines a method for identifying toy objects on a play surface using electrical tomography measurements. The method involves analyzing these measurements to determine the identity of a toy object, which can be indicated by a stamp on the bottom of the object disrupting the measurements in a known pattern or a metallic stamping on the bottom. The identification process can be facilitated by a trained machine learning process, specifically a Convolutional Neural Network, to accurately categorize or assign model numbers to the toy objects.

The patent also describes the use of a non-planar play surface with electrical probes strategically placed along the edges or body of the surface to enhance the identification process. Additionally, the patent covers the implementation of the method in a toy device equipped with a play surface, memory, and processor to obtain and analyze the electrical tomography measurements for identifying toy objects. The identity of the toy object can signify its category or model number, providing a comprehensive system for recognizing and categorizing toy objects based on disruptive patterns in electrical tomography measurements.

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