Quality guarantor digital platform

The paper presents a “Quality Guarantor” digital platform, designed to build intelligent quality gates based on the active use of machine vision technologies. The proposed hardware and software solution implements the modern principles of a rational combination of an algorithmic approach, knowledge bases and artificial intelligence elements to improve the production organization system. The quality guarantor contains components that provide visual control of product compliance with specified parameters, identification of inconsistencies, defects and deviations, collection and processing of information about the current quality of manufactured products within a specialized situational center integrated with PDM and ERP systems of the enterprise. Designing a new visual quality control system consists in planning the control track and designing quality samples in such a way that the key bottlenecks are covered with minimal toolset of machine vision. To build and configure individual control tracks and quality samples, statistical data and the results of video filming of production operations performed by highly professional performers can be used. The implementation of the platform in practice is illustrated by two hardware and software systems for monitoring the results of machining in mechanical engineering and monitoring internal holes using an endoscope video camera. The digital platform “Quality Guarantor” allows you to expand the scope of machine vision systems based on artificial neural networks for quality control of production processes.