This article is dedicated to the objects detection and recognition problem. The article presents the improvements that may be applied to one of the most perspective recent models R-CNN. Most of today's efficient models are not designed to work in real time, it is a great problem to the robotic systems development. The main purposes of the article are speed-up of the algorithm and the use of higher-order convolutional neural networks. In the article described improvement of selective search algorithm for reducing the number of object proposals, the experimental results on the use of high-order neurons in neural network layers, and the method of convolution neural networks speed-up with the use of vector-matrix processors. The article provides information on the possible improvements of the R-CNN model, accelerating its work without losing the object recognition quality
