Detection system implementation in streaming video with High standard Accuracy Using Single-Shot Multi-Box Detector system with CNN

The purpose of this study is to compare the Single Shot Multi box Detector with the CNN algorithm approach for detecting face masks (SSD). The study consists of two groups: SSD and CNN algorithm approach, each with a sample size of 20. The pretest power used in the simulation was 0.8. accuracy values are computed to assess how well the SSD and CNN algorithm's function. The accuracy of the CNN algorithm technique and SSD was 92.65% and 81.76%, respectively. Given that the model's p (2-tailed) value is 0.000, the two groups differ significantly from one another. Inthis study, it was discovered that the CNN algorithm approach outperformed SSD substantially in terms of accuracy.