AI in In-Cabin Systems: Real-Time Safety at the Edge
As in-cabin systems evolve from passive monitoring tools to active safety and decision-making layers, AI is fundamentally reshaping how vehicles interpret occupant state, behaviour, and intent. No longer limited to detecting isolated signals, modern systems are beginning to contextualise what is happening inside the vehicle in real time- enabling faster, more intelligent responses to critical scenarios. Drawing on over a decade of experience across safety-critical automotive systems, Vamsi Krishna Konka explores how AI is driving this shift, alongside the technical and ethical challenges that come with deploying real-time, privacy-conscious intelligence at the edge.