DocumentCode :
150744
Title :
Power evaluation of Sobel filter on Xilinx platform
Author :
Hong Nguyen, T.K. ; Belleudy, Cecile ; Pham, Thuy V.
Author_Institution :
Lab. of Electron., Univ. of Nice Sophia Antipolis, Nice, France
fYear :
2014
fDate :
4-6 May 2014
Firstpage :
1
Lastpage :
5
Abstract :
Power consumption in programmable devices has become a primary factor in design flow. Among the main concerns of power consumption, application performance, battery life, thermal challenges, or reliability, power consumption is crucial in FPGA designs for powered battery equipment. In this paper, we study the FPGA-based design for Sobel Edge Detection algorithm for low cost fall detector and we present an accurate evaluation of dynamic power estimation and real-time measurement. Our work uses Root Mean Square Error index to evaluate the accuracy rate between estimated and measured power consumption... This application is implemented on low-power Zynq-7000 AP SoC family.
Keywords :
edge detection; field programmable gate arrays; filters; logic design; power consumption; FPGA designs; Sobel edge detection algorithm; Sobel filter; Xilinx platform; Xilinx power analyzer; application performance; battery life; design flow; dynamic power estimation evaluation; low cost fall detector; low-power Zynq-7000 AP SoC family; power consumption; power evaluation; powered battery equipment; programmable devices; real-time measurement; reliability; root mean square error index; thermal challenges; Accuracy; Computer architecture; Estimation; Field programmable gate arrays; Image edge detection; Power demand; System-on-chip; RMSE; Xpower Analyzer; power consumption; sobel edge detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Faible Tension Faible Consommation (FTFC), 2014 IEEE
Conference_Location :
Monaco
Type :
conf
DOI :
10.1109/FTFC.2014.6828607
Filename :
6828607
Link To Document :
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