Improving Accuracy in Face Mask Detection based on Artificial Intelligence Compared with Viola-Jones Method for Pandemic Control

Abstract

Aim:This project aims to improve accuracy in Face Mask detection based on Artificial Intelligence compared with Viola-Jones method for Pandemic Control. Materials And Methods: Artificial Intelligence based method and Viola-Jones method are chosen as two groups and each group with 15 samples respectively, which are collected using the training image datasets. G Power =0.8. Result: The independent sample t-test result shows that the Accuracy in (%) is improved for Artificial Intelligence-based method with a mean (98.82) when compared with the Viola-Jones method (89.61) with a two tailed significance (p=0.000). Conclusion: The analysis shows that the accuracy in Artificial Intelligence-based Facemask detection is significantly better compared to the Viola-Jones method.