Speaker
Description
REM produces an average of 1500 images per night through its Optical (ROS2) and IR (REMIR) cameras. The observation log, images and other data are managed via DB (MySQL) oriented s/w. All the collected images are transferred in real time by a three nodes client/server communication system from La Silla to OAS-Bologna. The REM DB system stores not only information available from the FITS header, but also computed parameters, like the images footprint on sky. It also automatically manages proprietary/public data access and keep tracks of its usage. A PHP-JavaScript web interface allows the users not only to retrieve images based on search criteria, but also to inspect them interactively and perform a number of actions like objects detection and reference catalogs overplot. Custom and public tools are used to this aim, e.g. AladinLite and JS9. Further capabilities are being implemented. I will describe the various components of the REM archive system and show how its architecture is perfectly suitable to manage multi-telescope/camera images.