Single Image Liveness Detection Single Image Liveness Detection Liveness detection in just a single frame Get the most friction-less liveness detection experience using a single image. Talk to an expert Try Now What is Single Image Liveness Detection? Single Image Liveness is a biometric security mechanism that uses machine learning algorithms to verify whether a captured image was taken on the spot from the live person, or is a spoof (such as a photograph, video, or mask). This allows for much less user-friction compared to other forms of liveness, increasing the pass rate of genuine customers. Liveness Detection The Single Image Liveness Detection Process The system captures a single image from the user, then analyzes multiple metrics, including but not limited to: Edge Detection Images printed on paper can have sharp transitions or changes in pixel intensity, which can be detected. Color Spectrum Analysis Non-real faces can have color inaccuracies, limited ranges, or unnatural hues due to different limitations. Light Pattern Analysis Images captured form a screen can produce reflections and/or glares, detectable through light pattern analysis. Why Use Single Image Liveness? Higher Pass Rates Highly reduced user friction means a much lower user drop-off rate, leading to more customers. Cost Effective Eliminating the cost of processing video footage and other overheads means lower overall costs. More Revenue As you get more customers for your business, that means that a lot more potential revenue. Related Blogs 08 Aug 2025 8 minutes read Top 5 Deepfake Incidents You Must Know Deloitte’s 2025 Cybercrime Outlook puts AI-facilitated fraud potentially costing... View More View More 05 Aug 2025 9 minutes read What is the Role of Facial Recognition in Predictive Policing? The Illinois Biometric Information Privacy Act (BIPA) requires explicit... View More View More 01 Aug 2025 8 minutes read Reimagining Mobile App Security with Facia Mobile SDKs According to TransUnion’s Global Fraud Trends Report, mobile apps... View More View More Trusted and Certified for Compliance Fastest Liveness Detection Technology Frequently Asked Questions What is Single-Image Liveness Detection? Single-image liveness detection is a biometric technique that utilizes a single retained image to check if the person is real or fake. However, it examines the visual sample to distinguish the real faces from spoofed attacks. How Does Single-Image Liveness Detection Work? It depends on the artificial intelligence algorithms to check image aspects, for instance, texture, lighting, alongside facial symmetry. Also, these features assist in recognizing the irregularities in spoofed images or deepfakes. Can Single-Image Liveness Detection Handle Deepfake Attacks? Definitely, latest single-image liveness detection can disclose the irregularities in deepfake-generated photos. It highlights slight changes or mismatches that don't appear in the live image. What Types of Spoof Attacks Can It Prevent? Spoof attacks with digital screens, 2D masks, and printed photos can be avoided with single image liveness detection. It distinguishes between real and fake faces by detecting texture, lighting, and depth cues. What are the Accuracy Rates of Facia's Single-Image Liveness Detection? With just one selfie, Facia's single-image liveness detection can distinguish real users from spoof attacks with up to 98.8% accuracy. Without requiring user movement, it successfully recognizes printed images, 2D/3D masks, and screen replays.
