Agentic AI makes video surveillance active in the control center

Agentic AI Video Systems: From Observer to Active Assistance System

2026-04-13 From Barry Norton, Fellow at Milestone Systems | Translated by AI 6 min Reading Time

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A new generation of so-called agentic AI systems has the potential to develop video systems from passive observers into active assistance systems for decisions in industrial processes.

Agentic AI refers to systems that not only evaluate information, but can also derive action steps from it and support operational processes.(Picture: © GamePixel - stock.adobe.com) — Agentic AI refers to systems that not only evaluate information, but can also derive action steps from it and support operational processes.
(Picture: © GamePixel - stock.adobe.com)

Production plants generate enormous amounts of data from cameras, sensors and machine control systems. Monitoring this information and quickly deriving operational decisions from it is one of the central tasks of modern control centers. For a long time, however, video surveillance remained reactive: systems recorded events, alarms were triggered and employees then decided on the next steps. With the progress of generative and multimodal AI, this principle is beginning to change fundamentally.

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