Press Release / Computer / FaceSDK 6.0: 60-FPS Benchmark for Facial Feature Detection and Tracking in Video Streams

FaceSDK 6.0: 60-FPS Benchmark for Facial Feature Detection and Tracking in Video Streams

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FaceSDK 6.0: 60-FPS Benchmark for Facial Feature Detection and Tracking in Video Streams

Luxand Inc. releases a major update to FaceSDK, a leading face recognition and facial feature detection suite. FaceSDK 6.0 makes use of a new, highly optimized Facial Feature Detection and Tracking engine to deliver smooth facial recognition in high-FPS video streams on both desktop and mobile platforms. In addition, the new release further improves recognition quality and includes new samples for .NET, iOS and Android developers. New customers are eligible for a time-limited two-for-one deal, while existing users can upgrade to the new release at a 20% discount. Sale ends on September 30, 2015.

Benchmark 60-FPS Facial Feature Detection and Tracking

The lower latency and improved performance of the new Facial Feature Detection engine help deliver true 60-fps performance on desktops and 15 FPS on mobile platforms such as iPhone 6. The low-latency engine now allows creating mirror-like augmented reality projects for applications such as virtual makeup, face morphing, animating or aging.

Watch stunning augmented reality effects achievable with the newest facial feature detection:

https://youtu.be/8QMLXFKo-0g

Improved Precision and Reduced Jitter

FaceSDK 6.0 improves precision and reduces jitter while detecting and tracking facial features in video streams. In addition, FaceSDK 6.0 improves face recognition in video streams, allowing to track faces located near the edge of the frame. Faces that only partially appear in the frame can now be recognized and tracked.

The lower latency of the updated engine used in FaceSDK 6.0 greatly reduces jitter on video streams, enabling smooth, jitter-free appearance of processed videos.

Reduced False Acceptance Rate

With every new iteration, FaceSDK improves recognition quality. In terms of benchmarks, the new SDK makes advances in recognition quality on motion streams, improving False Acceptance Rate by up to 20% when using Tracker API. FaceSDK 6.0 achieved the new low False Rejection Rate of 6.1% on still images (compared to 6.7% in the last release of the SDK; lower is better) as measured in FRCG test with False Acceptance Rate set to 0.1%.

Additional Samples

New sample code is made available to Java, iOS and Android developers. The new samples demonstrate how to use real-time facial feature detection and tracking on mobile platforms. A sample to search for similar pictures in Java is added, and buffer functionality (for saving and copying) for Java and .NET development platforms is now available.

FaceSDK 6.0 is available at http://www.luxand.com/facesdk/