The level detection of cooling bed splitter plate is an important link in the construction and production of medium and thick plates,and its quality can directly affect the production quality of medium and thick plates.Taking the cold bed shunt plate position detection as the research object and combining artificial intelligence technology,a machine vision-based cold bed shunt plate position detection system is designed.After experimental testing,the system can achieve an interval accuracy of less than 10 meters in long-distance scenarios,and at the same time achieve a 100%success rate of steel plate tracking.In addition,the system has relatively good technical performance in terms of cost control,communication delay,etc.,and can provide certain technical support for full-process tracking and manufacturing quality improvement of the cooling bed system.
关键词
机器视觉/冷床分流板位检测/系统设计/系统实现
Key words
machine vision/cold bed diversion plate position detection/system design/system implementation
维普
万方数据