A 54GOPS 51.8mW analog-digital mixed mode Neural Perception Engine for fast object detection

Abstract

A mixed mode Neural Perception Engine (NPE) is proposed as the pre-processing accelerator of multi-object recognition processor to reduce the computational complexity and increase its efficiency. It consists of Motion Estimator (ME), Visual Attention Engine (VAE) and Object Detection Engine (ODE). The fabricated chip achieves 54 GOPS 51.8mW NPE. By implementing a fast and robust neuro-fuzzy algorithm in analog-digital mixed circuits, the area and power of the ODE is reduced by 59% and 44%, respectively, compared to those of all digital implementation. The NPE can increase the frame rate by 2.09x and reduce power consumption by 38% of the multi-object recognition processor.

DOI: 10.1109/CICC.2009.5280749

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Cite this paper

@article{Kim2009A55, title={A 54GOPS 51.8mW analog-digital mixed mode Neural Perception Engine for fast object detection}, author={Minsu Kim and Joo-Young Kim and Seungjin Lee and Jinwook Oh and Hoi-Jun Yoo}, journal={2009 IEEE Custom Integrated Circuits Conference}, year={2009}, pages={649-652} }