It's the sort of thing Galgon sees working as a lightweight form of authentication: Not as secure as a password or fingerprint but useful as one signal to see if someone is who they say they are.
Put together, speaker recognition and face detection could be used as part of the foundation of a security system similar to Google's Project Abacus, which authenticates a user based on a variety of signals including voice and facial recognition. Abacus is still in development.
All the processing for these services is handled in Microsoft's cloud, which means applications using Project Oxford APIs have to be connected to the Internet. Galgon said the company has heard from plenty of developers asking to use Project Oxford's capabilities offline but Microsoft wants to keep them online-only for now.
Releasing the tools to the public could help attract users to the company's Azure cloud platform, which features three Project Oxford services as part of the Cortana Analytics Suite. Developers can try out all features for free and talk to Microsoft if they need to use more than what's available through Project Oxford's free usage tier.
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