FPGA-based video gesture recognition smart home control

Abstract

In this paper, a video gesture recognition intelligent home control system based on FPGA is proposed. The system can realize the control of intelligent home devices by recognizing user gestures. The system adopts the latest FPGA technology and deep learning algorithm, which can realize the real-time analysis and processing of gestures, and convert them into the command control of smart home devices. The program is developed by using Pango Design Suite software. The simulation results verify the correctness of the system. The system not only has a broad application prospect, but also provides a new technical route and solution for the development of smart home.