Hand & Finger Tracking [Windows]
Real-time AI Hand & Finger tracking for Unity, detecting 22 finger joints per hand using webcams, images, or videos, with 2D and 3D landmark tracking.
![Hand & Finger Tracking [Windows] Asset Image](/public/image/4/c/7/d/7/4c7d7e068cf51caa64736ef5966ed088.webp)
Real-time AI Hand & Finger tracking for Unity, detecting 22 finger joints per hand using webcams, images, or videos, with 2D and 3D landmark tracking.* This page contains affiliate links, meaning we may earn a small commission if you purchase something through them, at no extra cost. $99
- Category:
- Tools › Ai-ml-integration
- Developer:
- LightBuzz
- Price:
- $99
- Favorites:
- 52
- Supported Unity Versions:
- 2022.3.31 or higher
- Current Version:
- 1.2
- Download Size:
- 122.52 MB
- Last Update:
- Oct 23, 2024
- Description:
- Unlock the full potential of hand and finger tracking in your Unity applications with the LightBuzz Hand & Finger Tracking package. This plugin is powered by AI, ensuring high-performance and low latency for real-time applications.
Key features:
* Real-time tracking: Track 22 finger joints per hand in real time - wrist, palm, 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
* 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:
- The package supports 2D and 3D landmark tracking, with the ability to use live camera feeds, video files, or images as input. It also includes built-in demos and a powerful C# API for developers.
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