Print Error Detection using Convolutional Neural Networks

04/11/2021

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by   Suyash Shandilya, et al.

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This paper discusses the need of an automated system for detecting print errors and the efficacy of Convolutional Neural Networks in such an application. We recognise the need of a dataset containing print error samples and propose a way to generate one artificially. We discuss the algorithms to generate such data along with the limitaions and advantages of such an apporach. Our final trained network gives a remarkable accuracy of 99.83% in testing. We further evaluate how such efficiency was achieved and what modifications can be tested to further the results.