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: Android, Unity Editor.
Hand & Finger Tracking [Android] v1.2 (Latest version)
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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 Android devices, as well as the Unity Editor.
Android 13 (API level 33) or later
Use the following assets to support more runtime platforms:
Android + iOS bundle ➡️
iOS ➡️
Windows ➡️
macOS ➡️
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).
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!
