US Patent Issued to SK Planet on Jan. 27 for "Apparatus and method for sound anomaly detection based on non-compression convolutional neural network" (South Korean Inventors)

ALEXANDRIA, Va., Jan. 28 -- United States Patent no. 12,535,354, issued on Jan. 27, was assigned to SK Planet Co. Ltd. (Seongnam-si, South Korea).

"Apparatus and method for sound anomaly detection based on non-compression convolutional neural network" was invented by Yeonghyeon Park (Suwon-si, South Korea) and Jong Hee Jung (Yongin-si, South Korea).

According to the abstract* released by the U.S. Patent & Trademark Office: "According to the present invention, a sound anomaly detection method includes acquiring, by an audio unit, a noise from an inspection target; generating, by a data processing unit, an input value that is a feature vector matrix including a plurality of feature vectors from the noise; generating, by a detection unit, a ...