Reservoir Computing Assisted Single-Pixel High-throughput Object Classification

This paper introduces a novel approach to high-throughput moving target detection using reservoir computing, which is both proposed and experimentally demonstrated. The implementation involves utilizing a Digital Micromirror Device (DMD) to introduce selected patterns for spatial encoding. During the target detection stage, optical line scan is employed, and a single-pixel detector collects the transmitted signal. Reservoir Computing (RC) is employed to do target classification. Experimental results reveal that shapes of the moving objects can be effectively classified.