Algorithm for the automated identification of the accuracy requirements set in the detail drawing

Abstract

The article develops an approach to automated identification of the accuracy requirements set in the detail drawing. A technique for recognizing accuracy requirements based on image analysis is proposed. The algorithm for identifying tolerances on linear sizes is based on classical text recognition algorithms. The advantage of the developed approach is its versatility. The effectiveness of recognizing tolerances on linear sizes does not depend on the options for setting and orientation of text entries in the drawing. A database of tolerances on linear sizes has been developed, which makes it possible to increase the efficiency of identifying accuracy requirements by comparing recognition results with standard values. The structure of a convolutional neural network for identify the symbols of tolerances of form, orientation, location and run-out, roughness, is proposed. This makes it possible to determine with high accuracy the area of requirements and improve identification performance