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: Windows x64, Unity Editor.
✌️ 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 Windows computers, as well as the Unity Editor.
- Windows 10 64-bit or later
Use the following assets to support more runtime platforms:
- iOS + Android bundle ➡️
- iOS ➡️
- Android ➡️
- macOS ➡️
Unity Editor
- Unity 2020.3 or later
📦 Demos & Samples
The package includes the following demos:
Picture: Shows how to track finger landmarks on a picture (PNG, JPEG file).
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).
Original_Link: https://assetstore.unity.com/packages/tools/ai-ml-integration/hand-finger-tracking-windows-284692
![Hand & Finger Tracking [Windows] v1.2 Hand & Finger Tracking [Windows] v1.2](https://gfx-station.com/wp-content/uploads/2024/12/b5743d40-b959-4d91-8f07-8b7633c7b89d-675x450.webp)





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