Research On Wearing Recognition Of Workers’ Helmets On The Construction Site Based On Video Stream

Wearing helmets is one of an effective way to prevent construction worker from head injuries.The computer vision method is applied to identify helmets worn by construction workers,which strengthens the external supervision of construction workers,and thus reducing the incidence of head-related safety accidents.However,there exists some problems in previous method based on the supervised training of the sample,like occlusion of single image,low accuracy of small target recognition,and inability to adapt to the complex environment of the scene,etc.Therefore,this paper proposes a semi-supervised learning safety helmet wearing recognition algorithm based on YOLO which matches video and environmental characteristics of construction site.Besides,a helmet wearing identification system is designed in this paper.Firstly,a construction worker identification network and a helmet recognition network are established by improving the YOLO network.Secondly,these networks are pre-trained and offline trained using the public data set and the real environment image data set,and then the generalized model is obtained.After that,the generalized model starts to going on a semi-supervised learning.which accordingly improves the algorithm’s recognition accuracy and generalization ability in specific scenarios.Lastly,the helmet wearing identification system is designed by transplanting the semi-supervised learning helmet wearing recognition algorithm based on YOLO into the development kit.To verify the recognition performance of the helmet wearing identification system,the video stream sequence of the subway system construction project was randomly selected as a case study.The data shows that the identified accuracy of construction workers and helmets in the video stream sequence under general scene conditions is between 85.7.% and 93.7%,which shows that the system has a high accuracy and recall rate.The results show that the helmet wear identification system can be effectively applied to the helmet wearing and identification work in the complex environment construction site,and provides a new research perspective and technical method for the construction industry information security monitoring.