Criminal Identification System

Criminal Identification System

Revolutionise Criminal Identification With
Real Time Tracking

Facia introduces a groundbreaking criminal identification system, designed to provide law enforcement agencies with real-time, accurate, and efficient solutions for identifying suspects.

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Advanced ABIS for Law Enforcement

Our system is engineered with precision and efficiency, incorporating the latest advancements in biometric technology

  • 1:1 Face Matching
  • Face to Video Matching
  • 1:N Face Identification
  • Video to Video Matching

Challenges in Modern Law Enforcement

Law enforcement agencies face numerous challenges in identifying and tracking individuals, especially in dynamic and complex environments

  • Difficulty in rapidly identifying individuals in crowded spaces.
  • Challenges in tracking suspects with limited physical evidence.
  • The use of emerging technologies by criminals to fool security systems.
Challenges in Modern Law Enforcement and ABIS

Why Choose Facia

Enhanced Security

Real-Time Identification

Facia’s advanced algorithms enable rapid suspect identification, significantly speeding up criminal investigations.

Improved User Experience

Deployment Options

It can be deployed on-premises, in the cloud, or even integrated easily with existing systems and workflows.

Platform Quality

Cross-Border Collaboration

Facia’s system is designed for cross-border collaboration, aiding coordination among countries to prevent major criminal activities.

Reliable Face Identification System for Criminal Investigation

Reliable Face Identification System for Criminal Investigation

Facia excels in both speed and accuracy. It can scan 3 million faces in under 4 seconds with with unparalleled accuracy. Our technology has a False Acceptance Rate (FAR) of 0% at less than 1% False Rejection Rate (FRR).

System Scalability

Our system is designed for scalability, adeptly handling increasing data volumes and user numbers without compromising performance.

Facia’s technology is interoperable, seamlessly integrating with existing law enforcement databases and legacy biometric systems for efficient data synchronisation and management.

Facial Recognition Access Control systems
Face Recognition Kiosks and terminals

Web-Based Interface and Comprehensive Enrollment

Facia offers an intuitive, easy to use interface, allowing easy access and operation, including features like case overview, hitlists, and system administration.

Our comprehensive enrollment options support a wide range of biometric data collection, ensuring high-quality data capture for accurate identification.

Advanced Identification With Customisable Workflows

Our system includes sophisticated features like face-in-video identification, accelerating investigations with advanced facial biometrics.

Facia’s customisable workflows adapt to the specific needs of different agencies, enhancing operational efficiency.

Cloud-Based Access Control System

Frequently Asked Questions

What is an Automated Biometric Identification System (ABIS)?

An Automated Biometric Identification System (ABIS) is a computer system that uses biometric data, such as fingerprints, facial features, or iris patterns, to identify individuals. ABIS is used by law enforcement agencies to identify suspects and criminals, border control agencies to identify travellers, and other organizations to verify the identity of individuals.

How does an ABIS work?

An ABIS works by comparing biometric data from an unknown individual to a repository of biometric data from known individuals. The system uses algorithms to extract and compare features from the biometric data, and it assigns a score to each comparison. If the score is high enough, the system determines that the unknown individual is a match for a known individual.

How are ABIS used in criminal identification systems?

ABIS are used in a variety of criminal identification systems, including:

  • Fingerprint identification systems: ABIS are used to compare fingerprints from crime scenes to fingerprints from criminal suspects.
  • Facial recognition systems: ABIS are used to compare facial features from surveillance footage to facial images of criminal suspects.

ABIS are a powerful tool for identifying individuals, and they are increasingly being used in criminal identification systems

What is the next generation identification system?

The Next Generation Identification (NGI) system, an initiative by the FBI, represents an advanced, integrated biometric identification system. It encompasses multiple modalities like Automated Fingerprint Identification System (AFIS), Integrated Automated Fingerprint Identification System (IAFIS), facial recognition, and Iris Recognition Integrated System (IRIS), enhancing the scope and accuracy of criminal identification.

Do US police use facial recognition?

Yes, numerous U.S. law enforcement agencies employ facial recognition technology. They utilize systems like Facial Analysis, Comparison, and Evaluation (FACE) and state-level databases for suspect identification, missing persons cases, and crime-solving. The application of this technology is governed by varying state laws and national guidelines to ensure ethical usage and privacy protection.

NIST & iBeta Compliant: Advance
Advanced Automatic Facial Identification System

Facia's certification badge showcasing iBeta compliance, ensuring the highest level of accuracy and reliability in facial recognition technology. Facia's compliance with GDPR (General Data Protection Regulation) regulations for data protection and privacy. NIST Facia's ISO 9001 certification for quality management, ensuring high standards in operations and customer satisfaction. Facia's ISO 14001 certification for environmental management, demonstrating the company's commitment to sustainability. Facia's compliance with CCPA (California Consumer Privacy Act) regulations, protecting consumer data and privacy rights ICAO (International Civil Aviation Organization) logo, representing Facia's compliance with aviation security standards and biometric technology.

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