Live Demonstration: A High-frame-rate and Energy-efficient SIFT Feature Extraction Accelerator Based SoC Design for AMR Applications

This demonstration presents a high-frame-rate and energy-efficient Scale-Invariant Feature Transform (SIFT) feature extraction accelerator based System on Chip (SoC) design. The platform implementing SIFT-based object recognition consists of an OV5640 camera, a SIFT hardware accelerator based on the ZYNQ-7000 SoC, and a personal computer (PC). The feature points and recognition results are displayed on the monitor in real-time at 60 frames per second (fps) with QVGA resolution for Autonomous Mobile Robot (AMR) applications.