Qnap QVR Face NAS-Based Smart Facial Recognition Solution
Integrating AI imaging technology
This is a Press Release edited by StorageNewsletter.com on February 27, 2020 at 2:27 pmQnap Systems, Inc. launched QVR Face, a NAS-based smart facial recognition solution that integrates advanced AI imaging technology.
The NAS application, QVR Face, integrates RTSP streaming cameras and third-party systems through API enabling users to build a cost-efficient high-performing facial recognition system for corporate offices, residential communities, research institutions, and retail stores.
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The QVR Face smart facial recognition solution features real-time video analytics of any RTSP video streams from IP cameras or recordings saved on a NAS. Video analytics provided by QVR Face can then be used for configuring profiles, groups, and event notifications for instant facial recognition. QVR Face is for automatic door access management, attendance management, and smart retail services.
“The QVR Face smart facial recognition system only requires one NAS for setup and does not require additional cloud computing services or extra computing accelerator cards,” said Jason Tsai, product manager, Qnap. “QVR Face also provides a comprehensive licensing plan for flexible deployment. QVR Face’s video analytics and registered profiles are saved directly on the NAS with a data protection mechanism to secure facial recognition data’s privacy and security.“
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Third-party partners in industries including surveillance systems, door access systems or digital signage systems can leverage QVR Face’s facial analytics data (including ‘Event, Metadata Notify, and Result’) through the application API to automate service management to secure the safety of the premises while creating more flexible smart retail management.
Availability:
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The QVR Face smart facial recognition solution can be downloaded from QTS App Center.
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The app’s Basic Plan allows users to create an analytics task or purchase the license plan to expand analytics tasks and add facial recognition profiles. (Note: One profile supports up to 10 image entries of the same individual.)