Vehicular in-cabin sensing using machine learning

This invention describes a way to monitor people inside a car using cameras and other sensors. It uses machine learning to spot occupants by their upper torsos, figure out where they are, and analyze their mood, along with the car's mood. This data can then be used by other applications, like an autonomous vehicle.

Why it matters: Filed before widespread real-time edge AI and robust visual mood detection became common. Improved machine learning efficiency and accuracy now make in-cabin perception more practical for autonomous vehicle integration.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedMachine learning, multiple cameras, sensor integration.

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