Presentation
Hardware-Accelerated Machine Vision using Field-Programmable Gate Arrays (FPGA)
2016 ATMAE Conference Proceedings
Document Type
Abstract
Disciplines
Conference
2016 ATMAE Annual Conference
Publication Version
Published Version
Publication Date
1-1-2016
Conference Date
Nov. 2-5, 2016
Geolocation
(28.5383355, -81.37923649999999)
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
Citation Information
John R. Haughery and Justin E. Noronha. "Hardware-Accelerated Machine Vision using Field-Programmable Gate Arrays (FPGA)" Orlando, FL2016 ATMAE Conference Proceedings (2016) p. 83 Available at: http://works.bepress.com/john-haughery/14/
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.