Abstract
Application of technologies based on information communication systems, internet networks, embedded systems, data storage in the cloud, computer vision, machine learning within manufacturing industry leads to a number of advantages in the quality control process. The goal of the work is the development of the system for quality control within production industry with the application of computer vision and algorithms for comparison and analysis. The secondary goal of the work refers to the storage of data on product quality and the control of production machines based on the analyzed data. The result of the application of the mentioned system is reflected in the identification of non-compliant products, which will lead to a reduction of the company's losses.
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