ALEXANDRIA, Va., Oct. 21 -- United States Patent no. 12,444,185, issued on Oct. 14, was assigned to UNIVERSITY OF SOUTH CAROLINA (Columbia, S.C.).
"Facial recognition based on converted spiking neural network" was invented by Yu Qian (Irmo, S.C.) and Youzhi Tang (Columbia, S.C.).
According to the abstract* released by the U.S. Patent & Trademark Office: "The disclosure deals with a system and method recognizing the same person from different pictures in order to identify who is who based on photos or videos from different sources. Facial recognition plays an increasingly important role in modern life. Due to the low power consumption of Spiking Neural Networks (SNNs), this disclosure proposed an SNNs-based facial recognition model convert...