Application of Object Mask Detection Using the Convolution Neural Network (CNN)

The spread of Coronavirus Disease (Covid-19) is still a serious problem that we are currently facing. Spread occurred very quickly through the face-to-face interaction process. process occurs both in public spaces and closed has great risk transmitting Covid-19 virus. One efforts to deal with virus increase use masks spaces. On basis this, this study aims develop an object detection image processing techniques. Object development using convolution neural network (CNN) method provide optimal output. CNN can input image, which converted into pixel matrix then sent layer. research data set consists 2000 images not masks. were obtained from open sources, github.com kaggle.com. results present system capable detecting real time. provides good performance accuracy rate 99.05%. With these results, contribution be used monitoring services for community masks.