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3DiVi Face SDK & API

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3DiVi Face SDK & API provides configurable face recognition components and APIs for developers building biometric applications across mobile, edge and server environments. It helps software vendors, OEMs and system integrators add face detection, identity verification, identification, liveness checks, deepfake detection and facial image quality assessment to their products. Built on NIST top-ranked face recognition technology, 3DiVi participates in the NIST FRTE 1:1 Verification evaluation through a technology partner. Teams can choose between two integration approaches: • Face SDK: software libraries and language APIs embedded directly into an application or device. Suitable for mobile applications, embedded hardware, edge processing and server-based solutions, including offline configurations. • Image API: REST services deployed within the customer’s infrastructure. Applications send images to configurable processing services and receive structured results through HTTP interfaces. Individual services can be combined into processing pipelines and scaled according to workload. Core capabilities include: • Face detection and tracking: locate faces in images and track faces in video streams using Face SDK. • Face verification (1:1): compare two faces to assess whether they belong to the same person. • Face identification (1:N): search a database of biometric templates for matching identities. • Liveness detection: evaluate signs of presentation attacks. Face SDK offers active and passive liveness components; available methods depend on the selected configuration and capture environment. • Deepfake detection: identify signs of AI-generated or digitally manipulated facial content. • Facial image quality assessment: evaluate image characteristics that affect biometric processing, including face position, lighting, sharpness and other quality parameters. • Facial analysis: extract facial landmarks and estimate supported facial attributes. • Biometric template processing: create and compare face templates for verification and identification workflows. Face SDK supports Windows, Linux, Android and iOS. Available language APIs and frameworks include C++, C#, Python, Java, Kotlin, Flutter, Swift, Go and Node.js, depending on the target platform. Image API provides language-independent REST integration for applications that communicate with biometric services over HTTP. Deployment remains under the customer’s control. Face SDK can run directly on devices, at the edge, on-premises or in customer-managed cloud infrastructure. Offline operation is available for SDK configurations. Image API can be deployed on-premises or in the customer’s cloud environment

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