Tag: quality control (QC)

Deep Learning algorithms were used to automate the quality control of printing processes. The developed model can automatically classify and detect some printing defects with an accuracy rate of 98.4%. This approach makes it easier to persuade business leaders to think of deep architecture as a possible solution for their challenges.