Face Mask Detection by Facial Recognition

Face mask detection by facial recognition

Through Facial Recognition technology – SAFR it is possible to detect the use of masks for COVID-19 through video analysis in real time, guaranteeing that all those who access a room or area use it and in the correct way.


  • Face mask detection.

Application environments

  • Buildings.
  • Schools.
  • Hospitals.
  • Banks.
  • Supermarkets.
  • Stadiums.
  • Etc.

Face Mask Detection - Facial Recognition

What is face mask detection using facial recognition?

With the expansion of the coronavirus since the end of 2019 and the COVID-19 pandemic, it is necessary for all people to comply with the health security measures in place and, among them, the use of masks. Wearing a hygienic face mask during this pandemic is a critical preventive measure and vital in circumstances where social distancing is difficult to maintain. Wearing a mask is essential, especially for those at higher risk of developing serious illness from COVID-19. Studies indicate that the spread of COVID-19 occurs mainly between people who are in immediate contact with each other and that it can be transmitted by people who have no symptoms and do not know they are infected.

The work of controlling this obligation becomes complicated when the transit of people in a facility is massive, or when this work is carried out by means of video surveillance systems. However, real-time video analysis through facial recognition and AI enables the exhaustive detection of people who do not use a sanitary mask or who do so incorrectly.

Facial Recognition technology – SAFR for mask detection allows to optimally control that the flow of visualized people are wearing a mask and activate the required alerts or alarms in real time.

Automate Recognition of Known Persons

Automate Recognition of Known Persons

Matches faces appearing on live video feeds in real-time with 98.87% accuracy so registered individuals are always spotted despite challenging real-world conditions. More accurate and faster than manual monitoring.

24/7 Monitoring, Centralized Knowledge Bank

24/7 Monitoring, Centralized Knowledge Bank

Provides a central knowledge bank of known faces and monitoring activity that’s always up to date. Consistent across distributed locations, simple to update to ensure records are correct, and easy to search to perform post-event analysis.

Custom Real-Time Alerts & Notifications

Custom Real-Time Alerts & Notifications

Get instant notifications when persons of interest are spotted. Customize notifications and alarms based on a variety of detection or recognition events and program automated security response workflows and SMS and email notifications.

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Why choose Facial Recognition - SAFR?

  • Not all facial recognition systems are created equal: Facial Recognition – SAFR can instantly detect and accurately match millions of faces in real time — even in challenging real-world conditions where faces are in motion, at difficult angles, under poor lighting conditions or partially obscured.
  • Fast & Accurate: Facial Recognition – SAFR is 99.87% accurate and can detect and match a face in a live video feed in under 100 milliseconds — 3-5 times faster than competing facial recognition algorithms.
  • Actionable: Facial Recognition – SAFR provides live security analytics with rich metadata. View traffic volumes, demographic composition, dwell times and more. Configure custom reports, alerts and auto-actions based on detection and recognition events — from sending a message to security guards to initiating a building lockdown.

  • Secure & Private: Facial Recognition – SAFR uses bank-level encryption on all face signatures and images in transit or at rest. If run on premises or embedded on device, Facial Recognition – SAFR passes no data over the internet. Built with privacy by design principles, Facial Recognition – SAFR makes it easy to configure data retention settings and manage opt-in/opt-out lists.
  • Deployment Neutral: Facial Recognition – SAFR can be deployed on a single computer to monitor a handful of video feeds, or scaled to thousands of cameras. The software can be hosted on premises or in the cloud, or deployed on even the most constrained camera-equipped devices with Facial Recognition – SAFR SDKs.
  • Distributed & Flexible: Facial Recognition – SAFR uses a distributed architecture to consume bandwidth more efficiently than many facial recognition providers. With the Facial Recognition – SAFR system’s edge intelligence for detection, recognition on the server, compatibility with off-the-shelf hardware and ability to leverage inexpensive GPUs, adding face recognition to your security tools is easier and more cost effective than you might think.

VMS / Integrated platforms

Face Mask Detection by Facial Recognition - Grekkom
Download the spec sheet

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