Application of Computer Vision to Intelligent Reflective Surface Beam Steering
2022 Sixteenth International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials)（2022）
Abstract
The paper presents a system for the Intelligent Reflective Surface beam steering using a computer vision algorithm based on TinyYOLOv4 neural network. It is implemented using a low-power single-board computer NVIDIA Jetson Nano. We demonstrate that combination of reconfigurable antenna arrays and computer vision algorithms (including detection, recognition and tracking of objects) can be used to find beam patterns that optimally redirects the base station signal to the mobile user equipment.
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Key words
computer vision algorithm,TinyYOLOv4 neural network,beam patterns,intelligent reflective surface beam steering,reconfigurable antenna arrays,base station signal,mobile user equipment,low-power single-board computer NVIDIA Jetson Nano
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