Factories accumulate large volumes of video and event data every day, but finding the relevant moment and identifying its cause still takes time. Factory Vision AI Agent connects video analysis with operational context through natural-language queries, allowing users to ask questions and review answers alongside supporting footage.
Turning Detection Results into Queryable Information
Conventional video analytics systems focus on detecting an object or event and sending an alert. Operators, however, need to understand not only what was detected, but why a delay occurred and which areas were affected.
Vision AI Agent connects detected incidents with process zones and timestamps, then organizes the information around the operator's question.
Answers Accompanied by Video Evidence
A natural-language answer alone is not enough to support decisions on the shop floor. When the relevant video segment, incident type, and affected process are presented together, operators can review the result quickly and decide what to do next.
Providing explainable evidence is essential for increasing trust in AI results and making them useful in real operations.
Connecting Site Data in One Workflow
When camera footage, edge inference, event logs, and operational information are separated, teams must move between multiple screens and systems to identify a cause.
Probotics is designing a unified interface that connects this data and shortens the time from site review to cause analysis and response.
