Motion image processing system based on multi core FPGA processor and convolutional neural Network

摘要

The moving image processing can now be applied to the economic analysis of the imaging target's movement by the high-speed shooting. This method is, consider some of the common approaches. For this reason, the acknowledgement of the movement recognition and movement following are talked about. These projects, not successive autonomous moreover. As of late, Field-Programmable Gate Array (FPGA) is wide, particularly in the versatile and installed gadgets have been utilized in equipment quickening agent for the execution of Convolutional Neural Network (CNN). A CNN dependent on FPGA has been proposed. It is intended to assemble a neural organization convolution with the streamlining and advancement of the memory of the profoundly reusable quickening agent work is low equipment asset utilization. Movement, position, speed, and key data of the camera's objective can catch any ideal data from the caught casing can be shipped off the framework's investigation parts. To follow the moving objects by recognizing movement location is one of these smart frameworks. Even though there is another technique for identifying a moving there, these strategies, there are a few impediments for constant applications. Hence, to give precise outcomes with this strategy, the foundation deduction technique is reasonable for constant applications.