Core Technologies
Facial Recognition is a biometric technology that verifies or identifies individuals by analyzing the distinctive geometry of their facial features. From the spacing between the eyes to the shape of the jawline, each face contains a set of measurable traits that can be transformed into a digital identity marker.
At Gekonova, we use these natural identifiers to authenticate users quickly and securely, providing seamless identity verification across industries and platforms.
Our approach to facial recognition moves beyond outdated manual methods. Gekonova’s technology leverages intelligent automation and precision algorithms to deliver fast, accurate results—without compromising personal privacy.
Rather than storing facial photographs, our software identifies key reference points on a person’s face—like the edges of the nose, eyes, and lips—and converts them into a unique mathematical signature. This data is then turned into an encrypted digital code using advanced AES-256 encryption, making it unusable without authorized access credentials.
This encrypted facial signature supports both one-to-one identity checks and one-to-many database searches. Whether used on local devices or through cloud-based systems, our solution adapts intelligently to different lighting conditions and subtle changes in facial appearance to ensure robust and reliable authentication.
To deliver accurate facial recognition across environments, Gekonova supports two primary sensor categories:
These are standard imaging sensors that work with visible light to capture flat, two-dimensional images of the face. They’re effective in environments with good lighting and controlled positioning, like office buildings or retail kiosks.
Using high-speed processing, the facial image is analyzed, transformed into a secure template, and compared against a database for verification. While cost-effective and fast, 2D systems perform best with frontal-facing subjects under consistent conditions.
3D sensors elevate the capabilities of facial recognition by capturing depth, shape, and contour through technologies like infrared mapping or structured light. These sensors build a full spatial model of the face, enhancing accuracy in diverse lighting conditions or when the face is viewed at an angle.
The result is a secure, AES-256-encrypted profile that significantly reduces vulnerability to spoofing attempts such as printed photos or 3D masks—making 3D systems the preferred option in environments where security is non-negotiable.
With more than a decade of innovation in biometrics, Gekonova offers one of the most trusted and future-ready facial recognition platforms on the market. Here’s what sets us apart:
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