Abstract: A novel approach for motion sensing using Raspberry Pi's Wi-Fi signals. The system leverages the fact that Wi-Fi signals reflect and scatter off objects in their environment, causing slight variations in their characteristics. By analyzing the changes in the received Wi-Fi signal strength over time, the system can detect the presence and movement of objects within its range. The proposed solution utilizes the Raspberry Pi's built-in Wi-Fi module to transmit and receive Wi-Fi signals, and a custom software program to process the signals and perform the motion detection. The system is cost-effective, easy to deploy, and can be used for a wide range of applications, including home security, occupancy sensing, and environmental monitoring. The experimental results demonstrate the effectiveness and accuracy of the proposed system, making it a promising solution for motion sensing in various scenarios.

Keywords: – Raspberry Pi, Channel State Information, Motion Sensing, InfluxDB

| DOI: 10.17148/IARJSET.2023.10580