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Fast Fire Identification Soft-Core Package Design Based on FPGA

At present, there are various methods of fire detection. The pure software-based fire identification systems have problems such as higher requirements on the hardware system, identification jams and poor efficiency etc. The rapid development of FPGA (Field Programmable Gate Array) and processor combination technology provides a new solution for fire detection based on video images. The system completes the FPGA system architecture construction through the combination of software and hardware. We use the inter-frame difference method of the image R (Red) component and LK (Lucas-Kanade) pyramid optical flow method for the early image extraction and judgment, and later introduce the image processing methods such as the median filter, mean filter, Gaussian filter and grayscale processing etc., so as to realize the soft-core design and packaging of the flame recognition FPGA. Finally, the identification and boundary calibration of the flame in the video are simulated by MATLAB, and the detection process is fast and accurate. The method is realized by building FPGA and Nois II video capture system, which provides an effective solution for rapid fire identification.