Design of Intelligent Mosquito Nets Based on Deep Learning Algorithms

An intelligent mosquito net employing deep learning has been one of the hotspots in field Internet Things as it can reduce significantly spread pathogens carried by mosquitoes, and help people live well mosquito-infested areas. In this study, we propose an that produce transmit data through Medical Things. our method, decision-making is controlled a model, proposed method uses infrared sensors array pressure to collect data. Moreover ZigBee protocol used map which formed with perception determining automatically intention user open or close net. We optical flow extract features, they were fed 3-dimensional convolutional neural network (3D-CNN) classification model subsequently. achieved expected results using nested cross-validation evaluate model. Deep better adaptability than traditional methods also anti-interference different bodies users. This research potential be medical protection large-scale sensor environment.