Hydra: Computer Vision for Data Quality Monitoring
Thomas Britton Torri Jeske David Lawrence Kishansingh Rajput
Hydra is a system which utilizes computer vision to perform near real time
data quality management, initially developed for Hall-D in 2019. 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. The front-end components, accessible via
web pages, allow detector experts and shift crews to view and interact with the
system. This talk will give an overview of the Hydra system as well as
highlight significant developments in Hydra's feature set, acute challenges
with operating Hydra in all halls, and lessons learned along the way.