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Convolution neural network is real time application used to perform complex image processing task. It reduces the total cost of hardware and increases its efficiency. System follows parallel scanning technique with gate level operations. It is inspired by image processing by brain's technique. Eye gathers information send it to brain & brain compute the process with sample images. Then it comes to conclusion. For hardware application GPUs and FPGAs are consider to perform or to process the imagery information because FPGA has the capability of parallel process or concurrent processing hardware facility. Objective of this paper is to design, synthesis & understand effect of different FPGA performances in BNN processer.
Chinchanikar et al. (Thu,) studied this question.
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