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Advanced Detection Using Video Analytics and Integration with Other Technologies
Presented by: Rick Jeffress ARM, CET, CFPS, Director of Business Development, Fike Corporation
Significant progress in computer processing, video imaging devices and video analytics provide a prolific context for new methods of flame, smoke and atmospheric oil mist detection.
Video analytics for fire detection identify flame, smoke, oil mist, reflected flame and motion events based on patterns of movement through video analysis of monitored environments. Detection methods may be of the listed/approved type or supplemental using server based analytics to monitor off the shelf IP cameras.
New IR3 and UV/IR flame detectors include embedded IP cameras, allowing server based analytics to also monitor for oil mist, reflected flame, smoke and motion virtually with a single device. The reflected flame algorithm supplements radiant energy detectors that require line of sight to flame. Live/recorded video is also available from environments that would normally require a specially rated camera or housing.
This presentation will provide an overview of video analytics detection technology, how to apply in various hazards as well as considerations to avoid false alarms and allow earliest detection with available settings. Integration of video analytics with IP cameras available with flame and thermal radiometry systems offers multiple methods of detection, allowing earlier detection, possibly prior to fire or explosion.