This invention describes a system that uses sensors to track a person's interactions with surfaces in a property. It then predicts which specific surfaces are most likely to harbor bacterial infections based on how frequently and intensely the person touched them. Finally, it instructs a robotic device to sterilize those identified surfaces.
Why it matters: The ability to accurately identify specific human-surface interactions and predict infection likelihood in real-time has greatly improved since 2022. Advances in computer vision and edge AI now make the granular activity monitoring and predictive analytics described in the claims more feasible and efficient.
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