Real-Time Object Recognition with Neuro-Fuzzy Controlled Workload-aware Task Pipelining

  • Joo-Young Kim ,
  • Minsu Kim ,
  • Seungjin Lee ,
  • Jinwook Oh ,
  • Sejong Oh ,
  • Hoi-Jun Yoo

MICRO |

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A proposed object recognition processor lightens its workload by estimating global region-of-interest features. A neuro-fuzzy controller performs intelligent ROI estimation by mimicking the human visual system, then manages the processor’s overall pipeline stages using workload-aware task scheduling and applied database size control. The NFC performs workload aware dynamic power management to reduce the proposed processor’s power consumption.