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At its core, the system identifies individuals by their unique facial features, converting these into digital templates for precise and immutable verification. This method offers a significant leap beyond traditional punch cards, manual sign-in sheets, or even older biometric approaches like fingerprint scanning, primarily due to its non-contact nature and inherent efficiency. The technology relies on sophisticated algorithms that can detect and map numerous nodal points on a human face, such as the distance between the eyes, the shape of the cheekbones, and the contours of the jawline, creating a distinctive biometric signature for each enrolled individual.
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