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Identification of Criminals through Facial Recognition

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Identification of criminals through facial recognition

Thanks to the application of AI, Facial Recognition technology – SAFR can identify the people visualized by comparing a database of previous records. This makes it a top-notch tool for identifying criminals in real time by analyzing CCTV footage.

Characteristics

  • Identification of criminals.

Application Environments

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

Criminal Identification - Facial Recognition

What is the identification of criminals through facial recognition?

Law enforcement agencies can generate and receive alerts when an individual claimed by the authorities is identified by our technology, speeding up their arrest and preventing new crimes.

Since facial recognition technology is powered by artificial intelligence, it can provide excellent results in identifying criminals. Even considering that most people, when committing an illicit activity, try to hide their identity: hiding their faces or covering their faces with scarves, masks, etc. In such cases, AI uses deep learning methods to identify the individual. The method involves mapping the face with some facial points, allowing the true identity of the individual to be revealed.

Compared to other criminal identification technologies, such as fingerprints or DNA, which require the criminal to leave a physical trace, the identification of criminals through facial recognition could be able to issue an alert more quickly (both from the point of view of detection and analysis of different image sources), which makes more and more police authorities in the world incorporate it.

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

Identification of Criminals through Facial Recognition - Grekkom
Download the spec sheet

Download the spec sheet for our Facial Recognition - SAFR analytics.

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