DOE OSTI · 2530609
Hydra: computer vision for data quality monitoring
Abstract
Hydra, initially developed for Hall-D in 2019, is a system that utilizes computer vision to perform near real time data quality monitoring. Since then, it has been deployed across all experimental halls at Jefferson Lab, with the CLAS12 collaboration in Hall-B being the first outside of GlueX to fully utilize Hydra. The system comprises back end processes that manage the models, their inferences, and the data flow. Finally, the front-end components, accessible via web pages, allow detector experts and shift crews to view and interact with the system.
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Britton, Thomas [Thomas Jefferson National Accelerator Facility (TJNAF), Newport News, VA (United States)], Jeske, Torri [Thomas Jefferson National Accelerator Facility (TJNAF), Newport News, VA (United States)], Lawrence, David [Thomas Jefferson National Accelerator Facility (TJNAF), Newport News, VA (United States)], Rajput, Kishansingh [Thomas Jefferson National Accelerator Facility (TJNAF), Newport News, VA (United States)]. 2024-12-12. Hydra: computer vision for data quality monitoring. https://doi.org/10.1088/1748-0221%2F19%2F12%2Fc12005
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