Hydra: Computer Vision for Data Quality Monitoring

arXiv:2403.00689v1 Announce Type: new
Abstract: 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 …

abstract arxiv collaboration computer computer vision cs.cv data data quality experimental hydra lab management monitoring near physics.ins-det quality real time data time data type vision