The research on the monitoring system for conveyor belt based on pattern recognition

Currently, the measures for monitoring the conveyor belt from tearing are all in contact-type, therefore, the recognition would only be valid while the leakage of material occured or the belt dropt, since the belt has been torn with a certain length. Then, at that time, the economic losses would be caused. Furthermore, the related devices for monitoring belt would cause abrasion due to contact friction, which is harmful for belt. In this research, a contactless monitoring method based on image processing and pattern recognition would be discussed, which is able to provide an effecient way to monitor conveyor belt in real time and with non-blind area. While the tearing occurs, the system enables to generate the signal for shutting off, then to protect the belt maximumly.