Hardware-Accelerated Machine Vision using Field-Programmable Gate Arrays (FPGA)
Date
2016-01-01
Authors
Haughery, John
Noronha, Justin
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Agricultural and Biosystems Engineering
Abstract
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.
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The abstract, "Hardware-Accelerated Machine Vision using Field-Programmable Gate Arrays (FPGA)" (John R. Haughery and Jsutin E. Noronha), as published in the Proceedings of the ATMAE 2016 Conference (2016 ATMAE Annual Conference, Orlando, Florida, November 2–5, 2016)" is a copyrighted publication of ATMAE, the Association of Technology, Management, and Applied Engineering, 1390 Eisenhower Place, Ann Arbor, MI 48108 This paper has been republished with the authorization of ATMAE.
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Fri Jan 01 00:00:00 UTC 2016