The urgency of developing a method of automated assessment of technical condition of the mobile mixer. The method for assessing the technical state of the mixer, which is based on its image analysis of thermograms, was developed. Characterized by its main stages. The neural network architecture for image recognition thermograms mixers was proposed. The results of functioning of neural networks was described.
neural network, multilayer perceptron, mixer termograms, image recognition