WaveVision (Visualizing Invisible Wi-Fi Fields in 2.5ghz Range)

WaveVision

See the Wi-Fi. Feel the Invisible.

Wi-Fi is everywhere. You just can’t see it. Until now.

soo welcome guys

WaveVision is an interactive project that turns invisible Wi-Fi signals into live visuals using real data, motion, and your smartphone. No screens. No LEDs. No internet. Just raw electromagnetic reality.

What is WaveVision?

WaveVision is a Wi-Fi field visualizer built with an ESP32. It scans the air around you, rotates in space, and sends live signal data to your phone — where invisible radio waves become graphs, radar sweeps, colors, and patterns.

This is not a simulation. This is real Wi-Fi energy being mapped in real time.

Features

Live Wi-Fi scanning (real RSSI data) Radar-style directional visualization Angle vs signal-strength graphs Color-coded Wi-Fi channels Security-type classification (Open / WPA / WPA2 / WPA3) Live network table (SSID, RSSI, Channel, MAC) Export data as CSV and JSON Smartphone-based dashboard (no app install) No LEDs. No external display. No internet needed

Why This Is Cool

You’re seeing electromagnetic waves

You’re interacting with something normally invisible

Your phone becomes a scientific instrument

It mixes art, physics, and tech

It makes Wi-Fi feel physical

Judges don’t just watch it. Hey experience it!!!!!!!

Tech Stack

ESP32 – Wi-Fi scanning + web server

HTML / CSS / JavaScript – live visualization

Canvas API – radar & graphs

Smartphone Browser – display & interaction

How It Works

ESP32 creates its own Wi-Fi hotspot

Wi-Fi networks are scanned

Signal strength, channel & security are recorded

Data is sent live to a web dashboard

Your phone visualizes the invisible

Simple. Clean. Powerful.

How to Use

Power the ESP32

Connect your phone to the ESP32 Wi-Fi

Open 192.168.4.1

Watch the invisible come alive

No downloads. No setup pain.

What You Can Explore

Where Wi-Fi signals are strongest

How walls affect signal direction

Channel congestion

Network overlap

Wi-Fi isn’t magic. It’s physics — happening all around us.

WaveVision lets you see it, understand it, and feel it.

Hidden patterns in everyday spaces

Your room becomes a data landscape.

| Built to explore the unseen. | Designed to make waves visible.|

ANDD YOU CAN DOWNLOAD THE DATA ON THE SPOT

Supplies

1. Hardware
2. ESP32 Dev Module
3. B-Type Data Cable
4. A Smartphone with WiFi Connection
5. Software
6. Arduino IDE

We start the making by making a high point for our ESP-32 to do so i have used a fiber rectangular piece to stick the ESP-32 on it and attach my USB cable with the ESP-32 and covering the outer cable with sticks to give the flexible cable some strength to hold the antenna high above as shone in image i have placed the cable on a cubic base to give it support from ground

After fixing the ESP-32 on that spot shown in figure connect to USB cable and provide the power to ESP-32 by 5v Dc from any Smartphone adapter and make sure the light on ESP-32 glows red and blink for blue as soon as you make the connection right your led glows as shown in image

By opening our Arduino IDE software we add our code in it and Compile the code by clicking on the top left side corner with a Tick button after compiling the code we flash it into our ESP-32 module to do that make sure you have selected the correct board look in top menu TOOLS there you select the board type and after selection of correct board you need to connect to correct COM port and you are done now come back on top left corner and click on arrow button to flash the code into module and you are all done !!!!!!

Now open your Wi-Fi settings on your smartphone and connect to the Network (WaveVision)there is no password after the successful connection open your Internet browser and type (192.168.4.1) and wait for it to load as soon as it loads you find a familiar interface as shown in the image above there are specific control buttons to get every type of info you need you can also download them you get three different file types to download live data from thin air

You successfully scan the networks and your data is shown in a way from high (RED) to low (Blue) the signals vary

APPRICIATE YA For getting down here ;)

ENJOYY