Reconfigurable computing architecture of fuzzy controller for vision enhancement in night surveillance robot Online publication date: Tue, 03-Oct-2017
by L. Maria Irudaya Leo Joseph; S. Rajarajan
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 12, No. 4, 2017
Abstract: Vision enhancement in night surveillance robot (FLC-VENSR) can be obtained by implementing an area efficient reconfigurable architecture of fuzzy logic comparator. The comparator contains a fuzzy logic algorithm for comparator design. The reconfigurable computing method will work very efficiently for images and videos captured under any sort of environment. The speed and area constraints can be met by quantifying the lessening in processing speed over and above FPGA resources that can be accomplished if a component of the image/video processing system is embedded onto a hardware depended platform like an FPGA. The proposed processor is executed and synthesised using Xilinx integrated software environment (ISE) and Spartan-3E XC3S5000E family. It is observed that the used area by the proposed processor is less compared to the available processor AFLC-PIDAM.
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