One of the main restrictions caused by the COVID-19 pandemic is the need to limit the capacity of the different public spaces (terraces, establishments, businesses, trains, busses, etc.) and the necessary counting of people to guarantee that said limited capacity is respected.
People who enter.
People who stay.
People who leave.
What is capacity control through facial recognition?
Facial Recognition technology – SAFR for capacity control applies video analysis in real time by means of AI to determine the number of people who enter, stay and leave a certain venue. It is capable of issuing the alerts or alarms arranged when the capacity is complete, and also makes it possible, among others, to increase security through access control or the hygienic-sanitary measures in place to combat COVID-19 such as the detection of masks.
On the other hand, this agile analytical video solution for capacity control by means of facial recognition enables the identification of peaks of influx, the identification of slots in which it would be convenient to extend the opening hours and makes it possible to carry out comparisons that help a better understanding of consumption for proper planning and business enhancement.
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
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
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.