Face Matching (1:1)

Accurate 1:1 Face Matching

Revolutionise Onboarding with Frictionless Facial Verification

Reduce fraud risk by 80% and streamline user experiences with our industry-leading 1:1 face matching solution, proven to achieve 99.5% verification accuracy in under 4 seconds.

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1:1 Face Matching

Experience our AI driven face matching service that prevents your business from being attacked by fraudsters and cyber-criminals. We are an iBeta certified organisation and provide customised face matching solutions to our clients

Facia’s Matching_Services

Facia’s Matching Services

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Image-to-Image Matching

1:1 matching matches a single image with another image in real-time. This technology is ideal for applications that require accurate identification of a person based on a single image, such as verifying a person’s identity document.

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Image-to-Database Matching

1:N matching system scans over 1 million images in under a second. Our service is scalable and can handle databases of millions of images, making it an ideal solution for large-scale industries.

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Image-to-Video Matching

Image-to-video matching system is designed to match an image with a real-time video feed to detect fraud. This technology is ideal for applications that require tracking a person’s movements in real-time.

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Video-to-Video Matching

The video-to-video mechanism matches a video with another video feed in real time. This is ideal for applications that require tracking a person’s movements across different locations.

Benefits of Face Matching Technology

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Stop Repeated Scams

Our AI-driven face matching service alerts you in case of any fraudulent biometric activity and highlights additional information about the attackers.

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Advanced Security

Face matching adds an extra layer of security to protect your business from fraudulent activities. It can compare a live individual’s facial biometric to an existing image (such as an identity document) or a database of images.

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Boost Your Customers’ Trust

Increase the trust of your customers by incorporating our advanced face matching service for 1:1 and 1:N solutions.

Facia Blogs

Addressing the Challenge of Partial Occlusion Detection in Facial Recognition System
Is Gait Recognition the Next Big Thing in Biometric Identity Verification?
Security Beyond the Surface: Thermal Imaging in Liveness Detection

Frequently Asked Questions

What is 1:1 Face Matching?

1:1 Face Matching refers to the process of comparing a probe image of a face with a specific image in a database to determine if they are same individuals. It's primarily used for verification purposes, such as during logins or access controls, ensuring that the person is real.

1:1 Verification vs 1:N Identification?

While 1:1 Verification (or Authentication) involves confirming the identity of a subject by comparing their face with a known image, 1:N Authentication (Identification) compares the subject's face against multiple images in a database to identify who they might be. In essence, verification confirms identity, while identification determines it.

How Does 1:N Matching Work?

1:N (or one-to-many) matching involves comparing a probe image with multiple images in a database to find potential matches. It's especially useful in identification scenarios, like identifying a person of interest in surveillance footage by comparing their face against a database of known individuals.

What Are False Negatives?

False negatives occur when the facial recognition system fails to match a probe image to a similar image in the database, even though they represent the same individual. This can lead to genuine users being denied access. But systems like Facia, minimizes such occurrences for optimal user experience.

How To Address False Positives?

False positives arise when a system incorrectly matches a probe image to a different person's image in the database. Facia's advanced 1:1 algorithms are designed to reduce false positives, ensuring that unauthorized individuals don't gain access to secure systems or areas.

What is FRVT?

FRVT, or Facial Recognition Vendor Test, is a series of evaluations conducted by NIST (National Institute of Standards and Technology) to assess the performance of facial recognition algorithms. It provides an industry-standard benchmark, helping users gauge the accuracy and reliability of different facial recognition solutions.

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Fastest Liveness Detection Technology

Contact us today to learn more about Facia’s facial recognition technology