ALEXANDRIA, Va., Sept. 17 -- United States Patent no. 12,418,327, issued on Sept. 16, was assigned to ENERGOUS Corp. (San Jose, Calif.).
"Systems and methods for machine learning zone-based foreign object detection for wireless power transmission" was invented by Howard Chan (San Jose, Calif.) and Deepak Jain (San Ramon, Calif.).
According to the abstract* released by the U.S. Patent & Trademark Office: "An example method is provided for detecting and classifying foreign objects. The method includes after a predetermined period of time, for a zone of a plurality of zones, enabling a beacon signal, obtaining a set of electrical measurements, and disabling the beacon signal. The method also includes determining, based on the set of electric...