US Patent Issued to Yokogawa Electric on Aug. 4 for "Anomaly detection for component using pose-dependent machine learning models" (Texas Inventor)

ALEXANDRIA, Va., Aug. 5 -- United States Patent no. 12,700,078, issued on Aug. 4, was assigned to Yokogawa Electric Corp. (Tokyo).

"Anomaly detection for component using pose-dependent machine learning models" was invented by Dakota Mahan (Carrollton, Texas).

According to the abstract* released by the U.S. Patent & Trademark Office: "Utilizing pose-dependent machine learning (ML) models in determining whether an anomaly is present within an environment. A first ML model is used to generate first output based on processing a first image, captured by a camera of a mobile robot, when the camera is at a first pose. The first ML model is used based on the first image being captured at the first pose and the first ML model being trained for the...