The aim of the project is to design the technical vision system for automation of microassembly and micromanufacturing processes. One of the principal problems is connected with the recognition of work pieces and detection of their positions. For this purpose we use neural Random Subspace Classifier (RSC) called LIRA Gray Scale. This classifier was developed for wide range of image recognition tasks. Here we describe some results of application of LIRA to recognition of micro work pieces and their positions. Experimental results are reported.