Proposes a systems-architectural model in which multiple Akida-powered smart sensors feed Akida AI SoC accelerators, capturing and analyzing inference data within designated regions of interest rather than processing every pixel of every frame. Shows how distributing neuromorphic processing across the vehicle supports advanced driver assistance and safety functions within automotive power and real-time response budgets.

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