3D Depth Sensing: The Future of Liveness Detection
Blog post from Didit
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3D depth sensing is presented as an advancement over traditional 2D liveness detection because it measures facial depth, contours, movement, and light interactions to distinguish live people from spoofing attempts such as printed photos, replayed videos, masks, and deepfakes. The technology can also incorporate signals such as infrared-based material analysis, potentially improving detection of nonhuman surfaces. Its applications include identity verification in financial services, gaming, healthcare, e-commerce, and government portals, where it may help reduce fraud, support regulatory compliance, streamline onboarding, and limit manual reviews. Didit describes its platform as offering configurable passive and active liveness detection, including an iBeta Level 1-certified active option that uses 3D action and flash anti-spoofing modes, which can be integrated into broader KYC and identity-verification workflows.
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