Real-Time Facial Recognition and Analytics
QVR Face is a smart facial recognition solution featuring real-time live streaming video analytics from connected cameras. Video analytics can be used to set profiles, groups, and event notifications for instant facial recognition. QVR Face recognizes target faces quickly and precisely by supporting multi-face recognition and dynamic face recognition technologies. 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 integrates with CyberLink’s FaceMe® 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.
Note: Only QVR Face Link supports mask detection and recognition.
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.
Note: For security and data privacy concerns, only NAS admin group members have permission to access and use the QVR Face application.
Empowered surveillance feeds with QVR Pro integration
Note: QVR Pro and QVR Pro Client v2.0 are required to use these features.
Supports live video streams from RTSP or QVR Pro
QVR Face analyzes live video streams from QVR Pro, allowing you to easily leverage QVR Pro’s settings with QVR Face for video analytics. Analysis results are saved to QVR Pro’s Metadata Vault for future usage. You can also use RTSP streaming, including the use of the QNAP QUSBCam2 app to enable RTSP on a USB camera.
The facial recognition solution, QVR Face, can be integrated into smart offices, residential communities, research institutions, and retail stores to provide intelligent attendance management, door access control management, VIP welcome systems and smart retail services.
- Use facial recognition for attendance management to reduce clock-in and clock-out time during rush hours.
- Non-contact clock-in and clock-out even faces are partially covered by masks.
- Set VIP groups and notifications. When high-level managers are identified, the system will automatically send out alerts.
- Event reports are generated and enable event screenshot reviews.
- Use Face Search feature to find and play all of the videos containing a target face image.
- Set VIP groups and notifications. When an important person or regular customer visits, the system will send notifications to remind you about welcome preparations.
- Integrate QVR Face with digital signage solution to provide tailored promotion information based on age and gender.
- Retailers can group and rank unregistered faces, or register them as regular profiles for further market promotion. Create customized sales strategies by further integrating flow statistics, POS sales records and heat map data.
Door Access Management
- Replace key or ID card-based door access systems with facial recognition technology by integrating QVR Face with door access systems.
- Set a stranger list or blacklist. When a person on the list is nearby, the security guard will be alerted to take immediate action, thus securing the safety of the premises.
- Find and play all the videos of unexpected visitors with the Face Search feature.
Learn more: QVR DoorAccess
QVR Face: Choosing the Right Version
You can choose the most suitable QNAP NAS and QVR Face version based on your application scenarios, required functions, and available budgets.
|Version||QVR Face Insight||QVR Face Tiger||QVR Face Link|
|Face register and stranger detection|
|Gender, Age and Emotion (Beta) identification|
|Application scenarios|| General (default): Suitable for door access control management or for retail.
Restrict: Suitable for sensitive door access control management or attendance records.
Can identify registered faces wearing a mask.
|System memory requirement|| Minimum 8 GB RAM
(For facial recognition databases with over 50,000 profiles, 16 GB RAM is required)
|Recommended NAS and performance||NAS CPU||Maximum number of tasks||Maximum number of tasks||Maximum number of tasks|
|Intel® Celeron® 4-core||1||1||–|
|Intel® Pentium® Gold 2-core||2||2||–|
|Intel® Core™ i3 4-core||6||6||–|
|Intel® Core™ i5 6-core||8||8||–|
|AMD Ryzen™ 7 8-core||Unavailable||8||–|
|Project Requirement||Please fill out the requirement form|
* The maximum number of profiles comprise of registered profiles and unknown faces are based on the purchased license plan. One profile supports up to 10 facial images of the same person.
Based on the following settings with NAS CPU usage less than 85%:
One facial image per profile.
Analytics task settings: H.264, 720p, 5fps, maximum one face per frame
Try QVR Face Link Now!
Download QVR Face from the QTS/QuTS hero/QVP App Center now to experience a hassle-free, automated, real-time facial recognition solution. You can also upgrade your solution at anytime by buying a more advanced license plan.
QVR Face Link: A license plan starting from USD 15.99 per month (the creation of 1 analytics task). You can purchase additional licenses for adding profiles starting from USD 0.99.
Note: QNAP reserves the right to modify and end the QVR Face basic license plan.
Easy API Integration
With QVR Face API, you can easily integrate a wide range of applications, such as attendance management, door access control, VIP welcome systems, and digital signage. QVR Face’s data includes profiles, groups, age and gender for automating your applications and systems to improve premise security or help create innovative smart retail services.
Note: The API is available in the QVR Face system interface. The APIs only support the same functions as the respective QVR Face versions, for example, QVR Face Insight API only supports QVR Face Insight functions.