Actual detection effects.
Abstract:
The complex environmental influences often complicate the detection of longitudinal tears in conveyor belts, resulting in insufficient detection accuracy, overlooked dete...Show MoreMetadata
Abstract:
The complex environmental influences often complicate the detection of longitudinal tears in conveyor belts, resulting in insufficient detection accuracy, overlooked detection, and elevated false detection rates. In this study, we propose a new depth learning method specifically designed for detecting longitudinal tears in conveyor belts. This method employs a linear Charge-Coupled Device (CCD) camera to capture images of the conveyor belt. These images are subsequently processed with a modified version of You Only Look Once (YOLO)v7 model to identify instances of longitudinal tearing. The modified YOLOv7 model features Efficient Intersection over Union (EIoU) loss function as a substitute for the original loss function. Furthermore, a Simple Parameter-Free Attention Module (SimAM) is introduced in the detection head to improve detection accuracy. In this method, we introduced the SimSPPFCSPC module as a new spatial pyramid pooling model. This module enhances detection speed while maintaining detection accuracy. Experiment results demonstrate the effectiveness of the proposed method, achieving an impressive precision of 94.6% and a detection speed of approximately 110 Frames Per Second (FPS). Such accuracy and speed meet the requirements for online detection of longitudinal tearing in belt conveyors.
Actual detection effects.
Published in: IEEE Access ( Volume: 12)
Funding Agency:
School of Mechanical Engineering, Tiangong University, Tianjin, China
Yimin Wang received the B.S. and M.S. degrees from Tiangong University, Tianjin, China, in 2011 and 2014, respectively, where he is currently pursuing the Ph.D. degree with the School of Mechanical Engineering. His main research fields are fault detection and digital image processing.
Yimin Wang received the B.S. and M.S. degrees from Tiangong University, Tianjin, China, in 2011 and 2014, respectively, where he is currently pursuing the Ph.D. degree with the School of Mechanical Engineering. His main research fields are fault detection and digital image processing.View more
School of Mechanical Engineering, Tiangong University, Tianjin, China
Yuhong Du received the Ph.D. degree. She is a Distinguished Faculty Member with Tiangong University. She is also a mentor of doctoral students. Her research expertise lies in the fields of mechanical engineering and pattern recognition, where she has contributed significantly through her extensive academic work.
Yuhong Du received the Ph.D. degree. She is a Distinguished Faculty Member with Tiangong University. She is also a mentor of doctoral students. Her research expertise lies in the fields of mechanical engineering and pattern recognition, where she has contributed significantly through her extensive academic work.View more
School of Electronics and Information Engineering, Tiangong University, Tianjin, China
Changyun Miao is a renowned Professor with Tiangong University. With the Ph.D. degree and a role as a doctoral advisor, his research direction focuses on information technology and telecommunications engineering. His work has made considerable impacts on the advancement of his field.
Changyun Miao is a renowned Professor with Tiangong University. With the Ph.D. degree and a role as a doctoral advisor, his research direction focuses on information technology and telecommunications engineering. His work has made considerable impacts on the advancement of his field.View more
School of Electronic Engineering, Tianjin University of Technology and Education, Tianjin, China
Di Miao received the B.S. and Ph.D. degrees from Beijing Jiaotong University, Beijing, China, in 2009 and 2016, respectively. She is currently a Professor with the Tianjin University of Technology and Education, Tianjin, China. Her main research fields are digital image processing and networks.
Di Miao received the B.S. and Ph.D. degrees from Beijing Jiaotong University, Beijing, China, in 2009 and 2016, respectively. She is currently a Professor with the Tianjin University of Technology and Education, Tianjin, China. Her main research fields are digital image processing and networks.View more
School of Mechanical Engineering, Tiangong University, Tianjin, China
School of Electronics and Information Engineering, Tiangong University, Tianjin, China
School of Mechanical Engineering, Tiangong University, Tianjin, China
Contents School of Mechanical Engineering, Tiangong University, Tianjin, China
Yimin Wang received the B.S. and M.S. degrees from Tiangong University, Tianjin, China, in 2011 and 2014, respectively, where he is currently pursuing the Ph.D. degree with the School of Mechanical Engineering. His main research fields are fault detection and digital image processing.
Yimin Wang received the B.S. and M.S. degrees from Tiangong University, Tianjin, China, in 2011 and 2014, respectively, where he is currently pursuing the Ph.D. degree with the School of Mechanical Engineering. His main research fields are fault detection and digital image processing.View more
School of Mechanical Engineering, Tiangong University, Tianjin, China
Yuhong Du received the Ph.D. degree. She is a Distinguished Faculty Member with Tiangong University. She is also a mentor of doctoral students. Her research expertise lies in the fields of mechanical engineering and pattern recognition, where she has contributed significantly through her extensive academic work.
Yuhong Du received the Ph.D. degree. She is a Distinguished Faculty Member with Tiangong University. She is also a mentor of doctoral students. Her research expertise lies in the fields of mechanical engineering and pattern recognition, where she has contributed significantly through her extensive academic work.View more
School of Electronics and Information Engineering, Tiangong University, Tianjin, China
Changyun Miao is a renowned Professor with Tiangong University. With the Ph.D. degree and a role as a doctoral advisor, his research direction focuses on information technology and telecommunications engineering. His work has made considerable impacts on the advancement of his field.
Changyun Miao is a renowned Professor with Tiangong University. With the Ph.D. degree and a role as a doctoral advisor, his research direction focuses on information technology and telecommunications engineering. His work has made considerable impacts on the advancement of his field.View more
School of Electronic Engineering, Tianjin University of Technology and Education, Tianjin, China
Di Miao received the B.S. and Ph.D. degrees from Beijing Jiaotong University, Beijing, China, in 2009 and 2016, respectively. She is currently a Professor with the Tianjin University of Technology and Education, Tianjin, China. Her main research fields are digital image processing and networks.
Di Miao received the B.S. and Ph.D. degrees from Beijing Jiaotong University, Beijing, China, in 2009 and 2016, respectively. She is currently a Professor with the Tianjin University of Technology and Education, Tianjin, China. Her main research fields are digital image processing and networks.View more
School of Mechanical Engineering, Tiangong University, Tianjin, China
School of Electronics and Information Engineering, Tiangong University, Tianjin, China
School of Mechanical Engineering, Tiangong University, Tianjin, China