Finally, the presentation poster is shown in Figure 1. The main objectives of this project are building a gesture recognition system based on FPGA board and using FPGA board to increase the image processing speed because FPGA can have 10 times higher processing speed compared with desktop CPU [1]. Then, the actual implementation of this project is shown as flow chart. Moreover, the result of FPGA and CPU can both be seen in result part to represent the actual visible difference between these two platforms. After that, future enhancement can be done on different camera module and more functions of this system.

Figure 1. Poster of presentation

After that, the final demo of this project can be seen in following video all the video processing and recognition result can be seen in this part, then applications of the recognition result can also be seen in this part.

Reference:

[1] S. Asano, T. Maruyama and Y. Yamaguchi, "Performance comparison of FPGA, GPU and CPU in image processing," 2009 International Conference on Field Programmable Logic and Applications, Prague, 2009, pp. 126-131.
doi: 10.1109/FPL.2009.5272532