Adhd detection and safety system for vehicles

This system for vehicles uses multiple sensors, such as cameras, microphones, and seat pressure sensors, to gather data about a driver. It then employs a machine learning model to analyze this information, specifically looking at cues like eye movements, to predict if the driver has ADHD. If a prediction is made, the system triggers an audible alert to the driver.

Why it matters: Filed in 2023, the rapid advancements in edge AI processing and the increasing sophistication of multi-modal machine learning models since then could make real-time ADHD detection more accurate and feasible within a vehicle's embedded systems.

Status: Not in forceListed as no longer active.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

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