LUNA SDK accurately identifies faces across images and video.
LUNA SDK offers highly efficient and accurate processing of images and live video streams of faces. LUNA SDK supports multiple platforms and is available in two editions. The Complete Edition includes face descriptor extraction and matching functionality, while the Frontend Edition caters to lightweight solutions that do not need to implement extraction and matching functions.
Contains various face detector implementations and factories to create a precise detection score.
Build precise estimations of images (such as blurriness, exposure, transformation, etc.) and depicted faces (such as age, gender, emotions, etc.).
Extract and match a wide set of features that describe the face (including size, angle and other measurements) to determine if two face images belong to the same person.
Luna SDK is powered by two core engines
The Liveness Engine is a wrapper library with added functionality, which utilizes LUNA SDK building blocks to produce different solutions for liveness detection problems.
The Liveness Engine determines whether a detected face is a still image or in an image sequence i.e. a video stream from a camera or a video file.
The Track Engine is a tool for face detection and tracking on multiple sources. It allows the user to pick the face images most suitable for facial recognition from a sequence of video frames.
Track Engine itself does not perform any facial recognition. Its purpose is to prepare required face data for LUNA solutions.
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We have developed contactless identification for both security and access control purposes, enabling multiple-use face recognition and identification cases under practically any EA framework.
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