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Real-time AI Hand & Finger tracking for Unity. Detect 22 finger joints per hand using webcams, images, or videos. Supports 2D and 3D landmark tracking. Supported runtimes: macOS, Unity Editor.

Render pipeline compatibility

The Built-in Render Pipeline is Unity’s default render pipeline. It is a general-purpose render pipeline that has limited options for customization. The Universal Render Pipeline (URP) is a Scriptable Render Pipeline that is quick and easy to customize, and lets you create optimized graphics across a wide range of platforms. The High Definition Render Pipeline (HDRP) is a Scriptable Render Pipeline that lets you create cutting-edge, high-fidelity graphics on high-end platforms.

Unity Version	Built-in	URP	HDRP
2022.3.31f1	Compatible	Compatible	Compatible

Description

✌️ Unlock the full potential of hand and finger tracking in your Unity applications with the LightBuzz Hand & Finger Tracking package. Powered by AI, this plugin ensures high-performance and low latency for real-time applications. 🚀

👉 Key features

Real-time tracking: Track 22 finger joints per hand in real time - wrist, plam, thumb, index, middle, ring, and pinky finger joints.
Multiple input sources: Use the live camera feed or existing video/image files.
3D & 2D visualization: Choose from 3D visualization to enhance spatial understanding, or 2D visualization for overlay applications on images and video streams.
Hand type recognition: Automatically distinguish between left and right hands.
Built-in demos: Get started with our built-in demos in seconds.
Powerful API: Simple, robust, and well-documented C# API for seasoned devs.
NO-CODE SUPPORT: Drag-and-drop our prefabs to create finger-tracking apps with no code!

Runtime platform

The asset supports runs on Mac computers, as well as the Unity Editor.

macOS 12 Monterey or later

Use the following assets to support more runtime platforms:

Unity Editor

Unity 2020.3 or later

📦 Demos & Samples

The package includes the following demos:

Webcam: Shows how to track finger landmarks on a webcam feed (phone cameras, laptop cameras, etc) and display the results on a Canvas or in the 3D world space.
Video: Demonstrates how to track finger landmarks on a video file (MP4, MOV, AVI, etc).
Picture: Shows how to track finger landmarks on a picture (PNG, JPEG file).

📖 Documenation

handtracking.lightbuzz.com

⁉ Help & Support

lightbuzz.com/support

Technical details

Hand & Finger landmarks

Wrist - 1 landmark
Palm - 1 landmark
Thumb - 4 landmarks
Index - 4 landmarks
Middle - 4 landmarks
Ring - 4 landmarks
Pinky - 4 landmarks

Key features

Real-time tracking: Track 22 finger joints per hand in real time - wrist, plam, thumb, index, middle, ring, and pinky finger joints.
Multiple input sources: Use the live camera feed or existing video/image files.
3D & 2D visualization: Choose from 3D visualization to enhance spatial understanding, or 2D visualization for overlay applications on images and video streams.
Hand type recognition: Automatically distinguish between left and right hands.
Built-in demos: Get started with our built-in demos in seconds.
Powerful API: Simple, robust, and well-documented C# API for seasoned devs.
NO-CODE SUPPORT: Drag-and-drop our prefabs to create finger-tracking apps with no code!

Documenation

handtracking.lightbuzz.com

Help & Support

lightbuzz.com/support

Related keywords

2D mediapipe 3D Ultraleap index thumb AI hand tracking hands finger tracking fingers