The conception of a prototype combining two hyperspectral cameras, one ranging from visible to near-infrared and the other covering short-wave infrared, is presented. The prototype aims at the characterization of millimeter-sized metallic alloys particles, originating from end-of-life vehicles and waste electrical and electronic equipment recycling. This paper is meant to serve as a support for a similar project by presenting difficulties encountered and available solutions. The calibration steps necessary to obtain quality reflectance data are also described. Classification results obtained on 100 metallic fragments dataset are finally presented.