US Patent Issued to Bentley Systems on Feb. 4 for "Semantic deep learning and rule optimization for surface corrosion detection and evaluation" (American, Singaporean Inventors)

ALEXANDRIA, Va., Feb. 5 -- United States Patent no. 12,217,408, issued on Feb. 4, was assigned to Bentley Systems Inc. (Exton, Pa.).

"Semantic deep learning and rule optimization for surface corrosion detection and evaluation" was invented by Zheng Yi Wu (Watertown, Conn.), Atiqur Rahman (Fremont, Calif.) and Rony Kalfarisi (Singapore).

According to the abstract* released by the U.S. Patent & Trademark Office: "In various example embodiments, techniques are provided for training and/or using a semantic deep learning model, such as a segmentation-enabled CNN model, to detect corrosion and enable its quantitative evaluation. An application may include a training dataset generation tool capable of semi-automatic generation of a training data...