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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
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).
利用 LightBuzz 手部和手指跟踪软件包，在您的 Unity 应用程序中释放手部和手指跟踪的全部潜能。该插件采用人工智能技术，可确保实时应用的高性能和低延迟。
主要功能
- 实时跟踪： 实时跟踪每只手的 22 个手指关节--手腕、拇指、食指、中指、无名指和小指关节。
- 多种输入源： 使用实时摄像头馈送或现有视频/图像文件。
- 三维和二维可视化 可选择三维可视化以增强空间理解，或选择二维可视化以在图像和视频流上叠加应用。
- 手型识别： 自动区分左手和右手。
- 内置演示 只需几秒钟即可开始使用我们的内置演示。
- 强大的应用程序接口（API）： 为经验丰富的开发人员提供简单、强大且文档齐全的 C# API。
- 无代码支持：拖放我们的预制板，无需代码即可创建手指跟踪应用程序！
运行平台
该资产支持在 Windows 计算机以及 Unity 编辑器上运行。
使用以下资产可支持更多运行平台：
Unity 编辑器
演示与示例
软件包包含以下演示：
- 网络摄像头： 演示如何在网络摄像头（手机摄像头、笔记本电脑摄像头等）上跟踪手指地标，并将结果显示在画布或三维世界空间中。
- 视频： 演示如何在视频文件（MP4、MOV、AVI 等）上跟踪手指地标。
- 图片 ： 显示
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