Person tracking and privacy and acceleration of data using autonomous machines

This invention describes a system for tracking people using cameras and other sensors on autonomous machines. It focuses on securely processing the collected tracking data, especially sensitive personal information, using specialized parts of a computer's processor called secure enclaves for neural network operations. Less secure hardware accelerators handle other tasks, ensuring privacy for data like images or audio.

Why it matters: Since 2019, the demand for privacy-preserving AI on edge devices has grown significantly, driven by evolving regulations. Advances in specialized hardware, including more capable secure enclaves and AI accelerators, now make implementing this on-device secure processing more practical for autonomous systems.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSecure enclaves, neural networks, hardware accelerators, software

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