US Patent Issued to University of South Carolina on Oct. 6 for "Human-perceptible and machine-readable shape generation and classification of hidden objects" (South Carolina Inventors)

ALEXANDRIA, Va., Oct. 6 -- United States Patent no. 12,754,309, issued on Oct. 6, was assigned to University of South Carolina (Columbia, S.C.).

"Human-perceptible and machine-readable shape generation and classification of hidden objects" was invented by Sanjib Sur (Cayce, S.C.) and Hem K. Regmi (Columbia, S.C.).

According to the abstract* released by the U.S. Patent & Trademark Office: "System and methodology are disclosed for approximating traditional SAR imaging on mobile mmWave devices. The presently disclosed technology enables human-perceptible and machine-readable shape generation and classification of hidden objects on mobile mmWave devices. The resulting system and corresponding methodology are capable of imaging through obstruc...