Blind Eye: Motion and Obstacle Detection Leveraging Wi-Fi

TL;DR

This paper introduces a novel method that uses Wi-Fi signal variations caused by obstacles and motion to detect movement in enclosed spaces, eliminating the need for extra hardware.

Contribution

It presents a new approach leveraging existing Wi-Fi signals for motion and obstacle detection, enabling applications in robotics and security without additional sensors.

Findings

Wi-Fi signal variances can indicate movement and obstacles.

The method works with existing Wi-Fi infrastructure.

Potential applications include robotics and security systems.

Abstract

Wireless Fidelity or Wi-Fi, has completely transfigured wireless networking by offering a smooth connection to the internet and networks, particularly when dealing with enclosed environments. As with the majority of wireless technology, it functions through radio communication. This makes it possible for Wi-Fi to operate effectively close to an Access Point. However, a device's ability to receive Wi-Fi signals can vary greatly. These discrepancies arise because of impediments or motions between the device and the access point. We have creatively used these variances as unique opportunities for applications that can be used to detect movement in confined areas. As this approach makes use of the current wireless infrastructure, no additional hardware is required. These applications could potentially be leveraged to enable sophisticated robots or enhance security systems.