Episode 93 of Mobile Development with Fexingo explores how on-device AI is turning smartphones into driver drowsiness detectors. Lucas and Luna break down the specific sensors and models involved: the forward-facing camera, infrared flood illuminator, and a lightweight convolutional neural network that tracks eye aspect ratio and head pose in real time. They discuss the technical challenge of running inference under 20 milliseconds while preserving battery life, and how Apple's Core ML and Google's ML Kit enable this. The episode also touches on the regulatory push from the EU's General Safety Regulation and how automakers like Volvo are integrating phone-based alerts with in-car systems. A concrete look at the intersection of mobile development, computer vision, and road safety.

#DriverDrowsiness #OnDeviceAI #ComputerVision #CoreML #MLKit #MobileDevelopment #iOSDev #AndroidDev #SafetyTech #AutomotiveAI #RoadSafety #EUGeneralSafetyRegulation #Volvo #SmartphoneSensors #NeuralNetworks #Technology #FexingoBusiness #BusinessPodcast

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