DEVELOPMENT OF AN APPLICATION FOR QUALITY CONTROL OF PARTS FOR REJECTS

Abstract

This article describes the development of software code for quality control of parts. To solve this problem, an application for comparing products for defects was developed with the help of Python programming environment and OpenCV computer vision library. The goal is to develop an effective program for comparing two parts, a template of a correct part and a made image of the part in a program to compare it to this template. Methodology. This article discusses a program for collecting and storing data, as well as processing them for quality control. Results. We developed an application in a Python programming environment that collects information in the form of an image and processes it using the OpenCV computer vision library to compare two images. Practical implications. This application can be used in industry to monitor and control the quality of parts, because quality is an important part of creating precision products.

Keywords

• computer vision library
• features
• opencv
• python
• image comparison