Built-in FPGA image preprocessing boosts machine vision applications

June 21, 2016
Image processing tasks can consume major CPU resources in machine vision applications, and as a result, increasing processing performance within size constraints can be a common challenge for systems integrators. 

Image processing tasks can consume major CPU resources in machine vision applications, and as a result, increasing processing performance within size constraints can be a common challenge for systems integrators.

In an article from ADLINK Technology Inc., the effectiveness of FPGAs in addressing such issues is discussed. Additionally, image processing tasks most suitable for FPGAs are also discussed, as are the capabilities of CPUs and FPGAs in operation. Then, a built-in FPGA image preprocessing solution that supports machine vision applications is presented.

View the article.

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About the Author

James Carroll

Former VSD Editor James Carroll joined the team 2013.  Carroll covered machine vision and imaging from numerous angles, including application stories, industry news, market updates, and new products. In addition to writing and editing articles, Carroll managed the Innovators Awards program and webcasts.

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