Computer Vision

A collection of vision-based tools that enable machines to interpret and respond to visual input in real-time. From hand gesture recognition to motion-controlled interfaces, this suite explores practical applications of modern computer vision powered by MediaPipe and OpenCV.

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Cursor Control

Control your mouse with your hand. Point. Move. Click. Just need your webcam, this code, and your intent.

Code

Finger Counter

Counts how many fingers you’re holding up in real-time. That’s it. Built to test raw detection accuracy and gesture logic. Simple, sharp, essential.

Code

Gesture-based Volume Control

Pinch to turn it up. Pinch to shut it down. Natural gesture mapped to system volume. Smooth, fast, oddly satisfying.

Code

Hand Tracking

The backbone of all gesture recognition systems, this real-time hand tracker uses MediaPipe to locate and map hand joints with precision, serving as the core module in various CV-based interfaces.

Blog

Code

The Hand Canvas

Play your hands like puppets.

This one tracks all 21 hand landmarks and connects them like constellations. No clicking. No touching. Just motion turned into art.

Code

Cursor Control

Control your mouse with your hand. Point. Move. Click. Just need your webcam, this code, and your intent.

Code

Finger Counter

Counts how many fingers you’re holding up in real-time. That’s it. Built to test raw detection accuracy and gesture logic. Simple, sharp, essential.

Code

Gesture-based Volume Control

Pinch to turn it up. Pinch to shut it down. Natural gesture mapped to system volume. Smooth, fast, oddly satisfying.

Code

Hand Tracking

The backbone of all gesture recognition systems, this real-time hand tracker uses MediaPipe to locate and map hand joints with precision, serving as the core module in various CV-based interfaces.

Blog

Code

The Hand Canvas

Play your hands like puppets.

This one tracks all 21 hand landmarks and connects them like constellations. No clicking. No touching. Just motion turned into art.

Code

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