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

Zhenhui Duan,Bingqiang Liu, Zehua Yin,Jipeng Wang,Zixuan Shen, Xupeng Zhang, Zaisheng He,Chao Wang

IEEE International Symposium on Circuits and Systems（2024）

Cited 0|Views2

No score

Abstract

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.

Translated text

Key words

Scale-invariant Feature Transform,System-on-chip,Automated Guided Vehicles,Personal Computer,Object Recognition,Feature Points,Recognition Results,Hardware Accelerators

AI Read Science

Must-Reading Tree

Example

Generate MRT to find the research sequence of this paper

Chat Paper

Summary is being generated by the instructions you defined