Skip to Main Content
An intelligent inference engine (IIE) is proposed as a controller for low power high speed robust object recognition processor. It contains analog digital mixed mode neuro-fuzzy circuits for the on-line learning to increase attention efficiency. It is implemented in 0.13um CMOS process and achieves 1.2mW power consumption with 94% average classification accuracy within 1us operation. The 0.765mm2 IIE achieves 76% attention efficiency, and reduces power and processing delay of the 50mm2 recognition processor by up to 37% and 28%, respectively, with 96% recognition accuraacy.
VLSI Circuits (VLSIC), 2010 IEEE Symposium on
Date of Conference: 16-18 June 2010