The invention describes a robot that can identify a specific person to grant them access or control. It does this by comparing what it perceives, such as facial features from a camera, a voice, or biometric data, against previously stored information for that user. The method for recognizing faces specifically involves analyzing individual pixel values or changes in pixel values within an image.
Why it matters: Filed before the widespread maturity of deep learning models for robust facial, voice, and biometric recognition. These advancements now make the core authentication tasks significantly more performant and accessible for integration into robotic systems.
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