US Patent Issued to Rapsodo on March 24 for "Estimating spin rate and axis of a ball using deep learning" (Singaporean Inventors)

ALEXANDRIA, Va., March 24 -- United States Patent no. 12,582,870, issued on March 24, was assigned to Rapsodo Pte. Ltd. (Singapore).

"Estimating spin rate and axis of a ball using deep learning" was invented by Dejiang Xu (Singapore), Kelvin Yeo Soon Keat (Singapore) and Batuhan Okur (Singapore).

According to the abstract* released by the U.S. Patent & Trademark Office: "Embodiments are disclosed for determining a spin rate and axis of a ball using deep learning. In some embodiments, a method comprises: training a deep learning network on training images of spinning balls, each spinning ball having at least one feature point in a time series that forms a two-dimensional (2D) ellipse image in a 2D plane; capturing, with at least one camera...