Face RecognitionFace RecognitionUse Synology Surveillance Station video management system combined with facial recognition tools in schools, businesses, and other industries to improve the overall level of security through a new monitoring method.Get deployment advice

Transform your surveillance with Synology Face Recognition

Pre-define a watchlist; when a person on that list has been detected, an event notification will be sent to alert the administrator to take appropriate action.

Utilizes a unique deep learning algorithm, proven to reach 97.04% accuracy in NIST’s Face Recognition Vendor Test under its WILD category (using faces extracted from real-world footage)

Enhance surveillance efficiency

Do an image search among your videos using facial photos, then register previously identified people into your database. When that person appears again, the system will immediately issue an alert for you to take action.

Efficiently track suspicious persons

Detect whether or not people are wearing a mask, and send an alert notification to your security personnel to take action if necessary.

Covered face detection

Smart Office Applications

  • Monitor heavily trafficked areas of the office, such as entrances and exits. When non-employees enter the office, the system can automatically issue a notification to alert the administrator.
  • Easily manage employee information using Synology Face Recognition;  administrators can import employee information into the face database in batches either manually, or from the local DSM or the domain/LDAP.
Smart Office Applications

Improve Campus Security

  • Record faces as they appear onsite. Security personnel can use facial photos to find identity matches and view information in the database.
  • Create a watchlist of prohibited persons. Set alerts for security personnel to be notified immediately once blacklisted people are identified onsite.
Improve Campus Security

Optimize Smart Retail

  • Register profiles of VIPs (names, preferences,etc.) to inform service personnel when they arrive.
  • Faces of shoplifters can be registered in the database and blacklisted, so that an alert system can notify employees when they are detected.
Optimize Smart Retail

Worry-free privacy and security with local analysis

Synology provides complete solutions that keeps sensitive personal data safe.

All sensitive videos kept locally

All sensitive videos kept locally

All recordings, database, and analysis are stored and processed locally; there is no need to worry about the outflow of sensitive information or non-compliance with regulations.

Ensure the safety of personal data

Ensure the safety of personal data

Only allow authorized operator to view the personal information of identified persons (e.g. name and phone number).

Full control over data activity

Full control over data activity

The system log will record all data operations (e.g., user modification or the export of personal files from the database).

Highly integrated and comprehensive NVR solution

Synology Deep Learning NVR has the following features:

One-time expense

Only pay once for the hardware and camera licenses; all video analysis functions and software updates are free of additional costs.

Automatic response to events

When a custom event has been detected, a command can be issued by the system. For example, when a blacklisted person is detected, an alarm can be sounded to deter them.

Cross-platform integration

View the monitoring system at any time in a web browser or with Surveillance Station's exclusive desktop software.

API ready

Easily integrate third-party products or services with Surveillance Station with the API files we provide.

Effortless Integration

Compatible with 8700 types of IP cameras; easily add video analysis function to your existing cameras.

Highly integrated and comprehensive NVR solution
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Notes:

  1. Testing done by National Institute of Standards and Technology (NIST) under their Face Recognition Vendor Test (FRVT).
  2. Please go to this page for more information about Deep Learning NVR.
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