The project integrates four sub-areas: 1) smart optics, based on Acousto-Optic Tunable Filter technology; 2) computational sensors that integrate raw sensing and computation using VLSI technology; 3) neural-network based saliency indentification techniques for identifying the most useful information for extraction and display; and 4) visual learning methods for automatic signal-to symbol mapping.
