Computer Vision Based Manufacture of Solar Concentrator

Recently we developed flat facet solar concentrators that have low material cost. Each concentrator contains hundreds of components. To obtain low labor cost it is necessary to develop automated methods of components manufacture and assembly. In this paper we consider the problems of the concentrator manufacture. To make the automation algorithms more efficient we use computer vision methods based on neural networks. We developed these methods for handwritten digits and face recognition. Here we apply them to automated manufacture of solar concentrators. Several years ago we developed an algorithm of automatic placement of a pin in a hole. Later a visual based algorithm of component measurement was developed. In this paper we consider the possibilities of application of computer vision algorithms in solar concentrator manufacture.