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A lot of pictures and video information have been produced during the data acquisition and inspection of the power line, and the effective use of these unstructured data is a problem that must be solved by the GIS platform and the big data platform. The traditional method is to use the universal server and GPU, but when the image data has reached TB level, only by increasing the number of clusters has been difficult to ensure the server to respond quickly to the application requirements, hardware acceleration solutions become necessary. A reusable image processing hardware acceleration framework for power line inspection, the framework uses the H.265 decoding module to realize high speed capture video frames, using PCI-E data communication to achieve a high throughput of network transmission, using FPGA to achieve the SIFT algorithm, and make the corresponding simplification. The test results show that the framework can significantly improve the speed of image processing, and can support the rapid panoramic image generation in the field work, and support the intelligent analysis of the image at the center of the data center.

Application of Image Processing Technology Based on Portable Equipment in Power Line Inspection