The 3D Face SDK (Android Version) is a professional software development toolkit built for Android mobile devices, purpose-built for mobile application scenarios involving 3D facial recognition. It encapsulates core functions including face detection, 3D modeling, facial keypoint localization, liveness detection and facial feature extraction. Powered by computer vision, deep learning and 3D reconstruction technologies, the SDK is compatible with Android hardware configurations (depth cameras, RGB cameras included) and mainstream software environments running Android 8.0 and higher. Developers can rapidly embed high-precision, highly stable 3D facial processing capabilities into Android apps with simple API invocations. There is no requirement to build low-level algorithms from the ground up, which drastically lowers the technical barrier and shortens development lead times for mobile 3D face applications.
The 3D Face SDK for Linux Platform is a software development toolkit designed for Linux operating systems (Ubuntu, CentOS, Debian), compatible with architectures including x86_64 and ARM64. It integrates core algorithms: 3D face detection, modeling, recognition, liveness detection, and point cloud analysis. The SDK is delivered as static libraries (.a), dynamic libraries (.so), or source code (for partially open-source SDKs). It supports major Linux programming languages: native C/C++, Python, and Go. Developers can rapidly deploy 3D facial capabilities onto Linux servers, embedded hardware, industrial PCs and other end devices. The SDK is optimized to match Linux’s attributes: multithreading, low resource footprint, and open-source ecosystem.
The 3D Face SDK is a software development toolkit tailored for Windows operating systems (Windows 10/11, Windows Server). It integrates core algorithms and interfaces for 3D face capture, modeling, detection, recognition, and analysis.
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