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Today’s systems are cloud-based and AI-driven. They use facial recognition to tell the difference between a family member and a stranger, infrared sensors to see in total darkness, and high-gain microphones to capture whispers. While these features make us safer, they also mean our most private moments—conversations in the kitchen, routines in the hallway—are being digitized, uploaded to servers, and processed by algorithms. The Risks: Data Breaches and "The Eye in the Cloud"

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, operate on a cloud-based model where video is streamed to a remote server for processing. Today’s systems are cloud-based and AI-driven

Moreover, the integration of facial recognition technology and artificial intelligence in some advanced home security systems further complicates privacy considerations. These features can automate the identification of individuals captured on camera, raising significant concerns about data protection and the potential for mass surveillance. The storage and management of the data collected by these systems also present challenges, as ensuring the security of this data is crucial to preventing its exploitation. The Risks: Data Breaches and "The Eye in

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