Single Frame Liveness Detection

Single frame liveness detection refers to the process of determining whether a facial image or video frame represents a genuine live person or a spoof attempt, all within a single frame or image. This technology is often used in face recognition systems as an additional security measure to prevent unauthorized access or fraudulent activities.

With single frame liveness detection, various techniques are employed to detect signs of liveness, such as eye blinking, natural facial movement, and texture analysis. These techniques aim to distinguish between real faces and fake presentations, including printed photos, screen displays, or even 3D masks. By analyzing individual frames or images, algorithms can identify irregularities and inconsistencies that are indicative of spoofing attempts, helping to ensure the reliability and trustworthiness of facial recognition systems.

Try it yourself

Take a firsthand look at our our tried-and-true AI-powered products.

See demos

Discover Our Solutions

Exploring our solutions is just a click away. Try our products or have a chat with one of our experts to delve deeper into what we offer.

LATEST FROM MICROBLINK

Unlock More Insights

News

2022 Deloitte Technology Fast 500™ Ranks Microbl…

Esteemed group includes global, award-winning, SaaS company with industry-leading number of custome…

Read more
Blog

3 ways automated document verification software sp…

Automated document verification software speeds up onboarding by reducing manual effort, improving …

Read more
Industry Use Case

A guide to getting remote identity verification ri…

We live in an age where we have dozens, if not hundreds, of online accounts. They form a core link…

Read more
Explore resources