Design and performance evaluation of a silicon eye using micro-mirrors

Abstract

Develops a new paradigm, based on massively parallel analog processing coupled with a MEMs micro-mirror device; for developing intelligent vision systems that is capable of performing adaptive optics at rates exceeding 1 kHz and 3D imaging at bandwidths exceeding 100 Hz. The design and modeling methodologies associated with our smart vision chip are presented along with experimental results that characterize its performance. We also present design and modeling methodologies of micro-mirror devices along with experimental results that characterize their performance in typical adaptive optic systems. Finally, we present modeling and simulation methodologies of adaptive optics systems along with experimental results used to design and test an adaptive optic system. The design and modeling methodologies that are presented lend themselves to facilitating the design and development of a wide variety of other sophisticated vision systems. In addition to speed, the approach offers advantages in low cost batch fabrication, compact size, low power consumption, and radiation tolerance, making it ideal for many applications.