TY - GEN
T1 - Safety Helmet Monitoring System Based on Improved YOLOv5
AU - Yuan, Yu
AU - Chen, Wenjie
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In construction site, it is necessary to ensure that everyone wears helmet. Using object detection methods to do the supervising work is much more efficient than any other ways. First, this paper proposes a new helmet detection method based on improved YOLOv5 that can get better detection results in construction site. Second, this paper designs an automatically tracking and monitoring system to implement the real-time detection of the input. Third, this paper designs a UI interface to show all the details of the detection process. The monitoring system mainly includes the image processing module and the helmet detection module which are based on PyTorch framework and OpenCV image processing library. The dataset that we used for training and validation is SHWD.
AB - In construction site, it is necessary to ensure that everyone wears helmet. Using object detection methods to do the supervising work is much more efficient than any other ways. First, this paper proposes a new helmet detection method based on improved YOLOv5 that can get better detection results in construction site. Second, this paper designs an automatically tracking and monitoring system to implement the real-time detection of the input. Third, this paper designs a UI interface to show all the details of the detection process. The monitoring system mainly includes the image processing module and the helmet detection module which are based on PyTorch framework and OpenCV image processing library. The dataset that we used for training and validation is SHWD.
KW - Convolutional neural network
KW - helmet detection
KW - helmet monitoring system
KW - object detection
UR - http://www.scopus.com/inward/record.url?scp=85151136813&partnerID=8YFLogxK
U2 - 10.1109/CAC57257.2022.10055941
DO - 10.1109/CAC57257.2022.10055941
M3 - Conference contribution
AN - SCOPUS:85151136813
T3 - Proceedings - 2022 Chinese Automation Congress, CAC 2022
SP - 5351
EP - 5355
BT - Proceedings - 2022 Chinese Automation Congress, CAC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 Chinese Automation Congress, CAC 2022
Y2 - 25 November 2022 through 27 November 2022
ER -
