Campus Units
Agricultural and Biosystems Engineering
Document Type
Abstract
Conference
2016 ATMAE Annual Conference
Publication Version
Published Version
Publication Date
2016
Journal or Book Title
2016 ATMAE Conference Proceedings
First Page
83
Conference Date
Nov. 2-5, 2016
City
Orlando, FL
Abstract
Summary: A hardware-accelerated vision system for object tracking was developed and implemented using FPGAs. Based on Amdahl’s Law equation, the final hardware design outperformed a similar software implementation by a factor of 7.7.
Copyright Owner
ATMAE
Copyright Date
2016
Language
en
File Format
application/pdf
Recommended Citation
Haughery, John R. and Noronha, Justin E., "Hardware-Accelerated Machine Vision using Field-Programmable Gate Arrays (FPGA)" (2016). Agricultural and Biosystems Engineering Conference Proceedings and Presentations. 559.
https://lib.dr.iastate.edu/abe_eng_conf/559
Included in
Agriculture Commons, Bioresource and Agricultural Engineering Commons, Hardware Systems Commons
Comments
This abstract is published as Haughery, J. R., Noronha, J.E., "Hardware-Accelerated Machine Vision using Field-Programmable Gate Arrays (FPGA)," 2016 ATMAE Annual Conference, Orlando, FL. Nov. 2-5, 2016. Posted with permission.