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
Arduino UNO
Controls connected devices by processing gesture signals instantly.
Webcam
Captures real-time hand movements for gesture detection.
Python and Arduino Libraries
Detects, tracks, and processes hand gestures from video frames.
Appliances
Visually show device response to recognized gestures.