Deploying face identification, anti-spoofing and low-power wakeup.
Accurate face verification has long been considered a challenge due to the number of variables, ranging from lighting to pose and facial expression.
This white paper looks at a new approach—combining classic and modern machine learning (deep learning) techniques—that achieves 98.36% accuracy, running efficiently on Arm ML-optimized platforms, and addressing key security issues such as multi-user verification, as well as anti-spoofing.
Read more here.
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