Capacity Constraint Analysis Using Object Detection for Smart Manufacturing

The increasing popularity of Deep Learning (DL) based Object Detection (OD) methods and their real-world applications have opened new venues in smart manufacturing. Traditional industries struck by capacity constraints after Coronavirus Disease (COVID-19) require non-invasive methods for in-depth operations' analysis to optimize and increase their revenue. In this study, we have initially developed a Convolutional Neural Network (CNN) based OD model to tackle this issue. This model is trained to accurately identify the presence of chairs and individuals on the …

analysis applications capacity constraints coronavirus covid covid-19 cs.cv deep learning detection disease industries manufacturing operations revenue smart study world