ALEXANDRIA, Va., Dec. 16 -- United States Patent no. 12,499,534, issued on Dec. 16, was assigned to FANUC Corp. (Yamanashi, Japan).
"Feature weighting for kNN-based anomaly detection" was invented by Yujiao Cheng (Fremont, Calif.) and Tetsuaki Kato (Fremont, Calif.).
According to the abstract* released by the U.S. Patent & Trademark Office: "A method and system for anomaly detection from object images. A feature extractor provides feature data characterizing part images, including good parts and bad parts. Training data for good parts is used to create a k-nearest neighbors (k-NN) model core set. The feature data includes hundreds of feature vectors, each having hundreds of filter dimensions. A weight value of one is initially assigned to...