searched using dedicated data mining tools.\
Searching for fixed objects (like stars or galaxies) in image archives is straightforward, because only the position of the target is needed to compare with the known telescope pointing and instrument field. The largest astronomical observatories or their collaborating institutions provide simple web searching tools or more sophisticated services which allow searches of fixed objects in their image archives. In 2009 P. Erwin released the TELARCHIVE Python code[^1] (which requires Linux installation) allowing searches of fixed objects by querying a few remote collections of image archives. Data mining of moving objects and especially those having less accurate orbits becomes more complex, requiring the intersection in space and time of the orbit with the searched archives.\
Thanks to their large field, few major photographic plate archives started to be used two decades ago in the first NEA data mining projects by D. Steel in Australia (AANEAS)[^2], A. Boattini in Italy (ANEOPP, [@Boattini2001]) and G. Hahn in Germany (DANEOPS)[^3]. Due to their initial tiny sizes, CCD cameras have been less appealing to the astronomical community for data mining. Only few major NEA surveys such as NEAT and Spacewatch (whose archives were integrated in SkyMorph[^4]) or the 