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

摘要

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.