For decades, surveillance intelligence meant faster detection, more cameras, sharper resolution, and quicker alerts. That equation is now being rewritten. As video systems move from recognising objects to understanding context, the real differentiator is no longer accuracy in ideal conditions, but reliability amid chaos: monsoon distortion, fluctuating crowds, inconsistent infrastructure.
In this conversation, Tuhin Bose, Senior Vice President and CTO at Videonetics, unpacks what “True AI” actually demands from an engineering standpoint: explainability built into the architecture, resilience designed in from day one, and lifecycle management at scale across 150+ cities and 80+ airports. He discusses why India’s unpredictable operating conditions have become an unlikely engineering advantage, and where video intelligence is headed next toward semantic convergence, multimodal fusion, and AI systems organisations can genuinely trust.”
