photo of outer space

The Future of Accessibility: How iLLume is Transforming Everyday Interactions

Hand Tracking

iLLume uses Mediapipe, an open-source computer vision library, to detect and track your hand in real time through a webcam. It identifies key landmarks and counts how many fingers are extended, recognizing specific gestures with high accuracy.

Processing & Detection

The data is processed using Python and OpenCV, which translate your hand gesture into a digital signal. Each gesture corresponds to a specific action, like turning a light or fan on or off.

Arduino Control

The processed signal is sent to an Arduino UNO microcontroller. Based on the gesture detected, it activates the connected device — for example, showing three fingers turns on three LEDs.

Instant Action

The response happens instantly, offering contactless, hygienic, and effortless control — no switches, no voice commands, just simple hand gestures.

Components

An Arduino Uno board.

Arduino UNO

Controls connected devices by processing gesture signals instantly.

Opal C1 Webcam

Webcam

Captures real-time hand movements for gesture detection.

a computer screen with a bunch of code on it

Python and Arduino Libraries

Detects, tracks, and processes hand gestures from video frames.

You can see the process of creating such illustrations here https://studio.youtube.com/channel/UCb0YjomGqqDPcSVITu--fDA

All right reserved - Antipolygon, 2022

Appliances

Visually show device response to recognized gestures.