Project Idea
This project presents a low-cost passive human detection system using WiFi signals to provide a privacy-friendly detection method without the need for cameras or wearable devices. The main objective of the project is to detect human presence by analyzing changes in RSSI values caused by human presence using two ESP32 devices. The key findings across three different scenarios showed a signal attenuation of 13.2 dBm when a person was standing and 4.6 dBm during movement, which confirms the possibility of using WiFi signals for passive human detection.
01
The Beginning
The idea started from the need to detect human presence in a privacy-friendly way without using cameras. The project therefore uses changes in WiFi signals caused by human presence for detection.
02
The Idea
The project provides a low-cost system using two ESP32 devices to analyze RSSI and detect human presence through WiFi signals, without cameras or wearable devices.
03
The Experience
The project progressed from the concept of using WiFi for human detection to building a prototype with two ESP32 devices to measure RSSI. The system was then tested under three different scenarios, demonstrating the feasibility of passive human detection using WiFi signals.
A visual tour documenting the manufacturing stages, laboratory testing, and live tracking experiments in the field.
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