Real-Time Facial Recognition and Analytics

QVR Face is a smart facial recognition solution featuring real-time live streaming video analytics from connected cameras. You can use video analytics to set profiles, groups, and event notifications for instant facial recognition. Third-party partners can use the QNAP API to leverage data from QVR Face to build intelligent door access systems, member identification systems, or smart digital signage for applications including automatic door access management, attendance management, and smart retail services.

Mask detection and facial recognition in one solution

QVR Face supports AI facial recognition technology, which requires only one full face image to complete a profile. QVR Face recognizes faces even when obscured by masks and applies to a profile, providing a new contactless monitoring and clocking services for hospitals and various facilities where masks are required.

Build A Smart Facial Recognition System with One NAS

Simply install the QVR Face solution on a QNAP NAS to analyze RTSP video streams from IP cameras, USB cameras or video recordings saved on a NAS. Facial recognition and video analytics are performed on the NAS, making it easier and more cost-effective to build a facial recognition system.

Real-Time Video Analytics

QNAP NAS features powerful computing power for performing on-premise video analytics. No need for cloud computing services or extra computing accelerator cards to achieve real-time video analytics, hence lowering the overall system deployment costs. Detection accuracy has also been enhanced. By using a pre-processing algorithm, QVR Face effectively filters 70% of the faces that are unsuitable for recognition (including blurred, fast-moving, or non-human faces).

Simultaneous Multi-Channel Analytics

QVR Face can simultaneously analyze multiple video streams and identify multiple registered profiles and unknown faces at the same time. You can use the video analytics results to create blacklists or VIP lists.

Private Cloud Data Storage

QVR Face’s video analytics and registered profiles (including identified person's names and photos) are directly saved to on-premise storage. QNAP NAS also provides efficient data protection mechanism to ensure the privacy and security of the facial recognition data.

Easy API Integration

Third-party partners can leverage QVR Face’s facial analytics data (including Event, Metadata Notify and Result) via API to enable automated service management, such as door access systems, member identification systems, or digital signage system.

Identity Authentication Made Easy with Profile Database

You can create facial recognition analytic tasks of live streams from cameras or recordings saved on the NAS in QVR Face. With the video analytics results, you can create profiles of identified persons, set groups (such as VIP groups, unregistered faces, or blacklists) and event notifications. The system will send alert notifications when a person meeting the configured facial identification rules is detected. (Facial identification rule conditions include a person’s gender, age, and group category.) You can also check the video analytics report for history video analytics results.

Enhance your face recognition speed with an Edge TPU

Edge TPU empowers QVR Face with real-time video analytics for instant facial recognition with reduced CPU utilization. This enhanced analysis provides many benefits for businesses and security-focused activities that require recognizing tens of thousands of faces, or massive numbers of cameras/video streams in parallel. The power-efficient Edge TPU accelerator can perform 4 TOPS (trillion operations per second) only using 0.5 watts.

What QVR Face version should I use?

QVR Face Insight is balanced in terms of requirements and performance, making it suitable for various environments (such as offices, retail, and residential communities). QVR Face Tiger should be chosen based on special use cases.

QVR Face Insight

• High recognition accuracy
• Fast
• Lower hardware requirements
• Cost-efficient: Free embedded task with 20 profiles
• Suitable for various environments

QVR Face Tiger

• Lower hardware requirements
• Fast recognition speed with relatively lower accuracy
• Suitable for businesses requiring many channels monitored