A study of FPGA-based System-on-Chip designs for real-time industrial application

Ali Al-Mahmood, Michael Opoku Agyeman

Research output: Contribution to journalArticle

Abstract

This paper shows the benefits of the Field Programming Gate Array (FPGAs) in industrial control applications. The author starts by addressing the benefits of FPGA and where it is useful. As well as, the author has done some FPGA’s evaluation researches on the FPGA performing explaining the performance of the FPGA and the design tools. To show the benefits of the FPGA, an industrial application example has been used. The application is a real-time face detection and tracking using FPGA. Face tracking will depend on calculating the centroid of each detected region. A DE2-SoC Altera board has been used to implement this application. The application based on few algorithms that filter the captured images to detect them. These algorithms have been translated to a Verilog code to run it on the DE2-SoC board
Original languageEnglish
JournalInternational Journal of Computer Applications
Volume163
Issue number6
DOIs
Publication statusPublished - 1 Apr 2017

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Industrial applications
Computer hardware description languages
Face recognition
System-on-chip

Keywords

  • FPGA
  • System-on-Chip(SoC)
  • real-time face detection and tracking application
  • algorithims
  • images filtering
  • industrial control application
  • design tool

Cite this

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abstract = "This paper shows the benefits of the Field Programming Gate Array (FPGAs) in industrial control applications. The author starts by addressing the benefits of FPGA and where it is useful. As well as, the author has done some FPGA’s evaluation researches on the FPGA performing explaining the performance of the FPGA and the design tools. To show the benefits of the FPGA, an industrial application example has been used. The application is a real-time face detection and tracking using FPGA. Face tracking will depend on calculating the centroid of each detected region. A DE2-SoC Altera board has been used to implement this application. The application based on few algorithms that filter the captured images to detect them. These algorithms have been translated to a Verilog code to run it on the DE2-SoC board",
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A study of FPGA-based System-on-Chip designs for real-time industrial application. / Al-Mahmood, Ali; Opoku Agyeman, Michael.

In: International Journal of Computer Applications, Vol. 163, No. 6, 01.04.2017.

Research output: Contribution to journalArticle

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