Image analysis for two-sided data hub

This invention describes a system that uses a camera, like a webcam, to collect facial data from a person inside a vehicle. This facial data, along with potential physiological data, is fed into a neural network to analyze their cognitive state and facial expressions. The system then creates a profile of the individual's cognitive state within that vehicle.

Why it matters: Since 2018, the capabilities of edge AI and embedded processors have dramatically increased, making real-time in-vehicle facial analysis and driver monitoring systems more feasible and cost-effective. Regulatory and safety pushes for advanced driver-assistance systems (ADAS) have also driven the demand and development of such technologies.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware system, neural network training, vehicle integration.

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