IMPROVING THE EFFICIENCY OF THE SOFTWARE IMPLEMENTATION OF IMAGE RECOGNITION ALGORITHMS WITH A DETAILED ASSESSMENT OF THE STATUS OF THE MASSIVE NUMBER OF OBJECTS
A computing experiment with software implementation of computer vision system (CVS) algorithms has been performed for identification and detailed condition assessment of objects of natural origin and their mass number, with high variability within classes and an affinity of the classes. An accuracy of the operating mode was assessed. The article also shows possibilities of decreasing of video frame processing in CVS operating mode through an optimization of sequential computation and organization of parallel computation