Facial Recognition technology – SAFR offers several advantages in casino management, and not only in terms of security. On the one hand, of course, it allows real-time alerting of the access of unwanted people from the black list without drawing the attention of customers or even the identification of criminals and, on the other, notifying of the arrival of VIP by facilitating a more personalized and exclusive reception and treatment.
What advantages does facial recognition bring to casino management?
As in other establishments where the management of amounts of cash can be high and critical, our facial recognition software provides greater security to access control by employees, streamlines it and eliminates contact points thanks to its contactless technology.
With all this, therefore, facial recognition allows creating safer scenarios within casinos, preventing fraud and designing personalized customer experiences, up to the most demanding, from the first minute.
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.
Request a demo
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.
Perimeter Lockout AI is a perimeter surveillance video-analytics solution for professional users that, thanks to Deep Learning, can discriminate the usual false alarms produced by camera movement, animals, shadows, lights or rain, among others. The implementation of artificial intelligence algorithms in video analytics increases its efficiency The implementation of artificial intelligence algorithms in video-analytic solutions […]