Automated facial recognition detection

This invention describes a way to improve automated facial recognition. An Internet of Things (IOT) device detects a user's face and extracts features from it using a convolutional neural network (CNN) model that has been converted into a hybrid cloud system. It then classifies the user as male or female based on attributes like hair and eye color, facial hair, and shape, before sending this information to a server to determine the user's identity.

Why it matters: Filed before significant advancements in edge AI and hybrid cloud deployment tools. The specific conversion of CNN models for hybrid cloud architectures, as claimed, is now more streamlined and efficient.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedDistributed software system, AI model, cloud integration

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