Luxand releases FaceSDK 6.2 with improved real-time recognition, live facial filters on mobiles

September 19, 2016 - 

Luxand Inc. released the latest version of its face recognition and facial feature detection suite FaceSDK, which features several improvements and enhancements to enable developers to build mobile apps implementing live facial filters.

FaceSDK 6.2 features a newly improved facial feature detection and tracking engine is now based on 70-point detection of facial features (up from 66 facial features in the last release), improved tracking of open mouth, and significantly improved speed on major mobile platforms.

The new engine can achieve a rate of 30 frames per second on iPhone 6 when detecting facial features on live video streams captured by the phone’s camera in landscape orientation.

“We’re making it better with each iteration,” says Alex Konoplev, Luxand CEO. “The new build packs numerous improvements in different areas allowing developers to implement smoother experience and increasingly lifelike animations never imaginable before. The massive performance improvements in the newly announced iPhone 7 are highly welcome, yet we are fully committed to supporting developers targeting other popular iOS devices.”

The new version features more detailed detection, which enables lifelike facial transforms and animations.

The improved tracking of open mouth provides an even more lifelike experience. Additionally, the new version maintains full backwards compatibility with previous versions of the SDK.

FaceSDK targets mobile developers, adding Android and iOS samples for detecting the person’s emotions and gender. The SDK also targets developers of Windows platform with samples for Android Studio and Visual Studio 2015.

Luxand built several apps and services to demonstrate the platform’s capabilities, including youmask and MirrorReality SDK.

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About Justin Lee

Justin Lee has been a contributor with Biometric Update since 2014. Previously, he was a staff writer for web hosting magazine and website, theWHIR. For more than a decade, Justin has written for various publications on issues relating to technology, arts and culture, and entertainment. Follow him on Twitter @BiometricJustin.