I read in a couple of papers about asteroid hunting that they used artificially implemented asteroids in real images to see if their detection algorithms could find them. This way, the scientists determined their asteroid survey efficiency in real data. As I don't have the resources to work so extensively with images, implement artificial stuff, and have a dedicated survey algorithm, I would like to know if there's another accurate way to determine the asteroid survey efficiency? You may well ask, WHAT FROM would I like to determine its efficiency if not from a survey algorithm. Well, that's the second question: using a telescope, CCD, typical calibration files to reduce noise, known celestial coordinates, time, etc. , a survey software like "Astrometrica", and a square-degree worth of images, how can I characterise the survey efficiency? After all, Astrometrica only shows already known objects, and has the ability to blink-compare images and mark presumably new objects. But it doesn't search for objects by itself so that a search efficiency could be characterised. What would be ways to characterise the search efficiency in a personal asteroid survey?