首页|基于AI视频识别的煤炭铁路装车车厢信息识别系统的建设

基于AI视频识别的煤炭铁路装车车厢信息识别系统的建设

扫码查看
针对现有煤炭铁路装车站车号识别系统存在的不足,提出了基于AI视频识别的煤炭铁路装车车厢信息识别的新方法,即利用一种基于YOLOv5的视频识别系统,以有效解决RFID损坏、漏检等问题.结果表明,该系统在车厢信息识别方面具有较高的识别准确率和较快的处理速度,能够对车厢的编号、车型等信息进行准确的识别和分类.
Construction of Coal Railway Loading Carriage Information Recognition System Based on AI Video Recognition
Aiming at the shortcomings of the existing coal railroad loading station vehicle number recognition system,a new method of coal railroad loading vehicle information recognition based on AI video recognition is proposed,i.e.,utilizing a system based on the Yolov5 video recognition system,in order to effectively solve the problems of RFID damage and leakage detection.The results show that the system has high recognition accuracy and fast processing speed in carriage information recognition,and can accurately recognize and classify carriage numbers,vehicle types,and other information.

railway loadingAIcarriage information recognitionintelligent loading

白龙、宋万军、李震宇

展开 >

国家能源集团国神公司上榆泉煤矿,山西 忻州 036500

铁路装车 人工智能 车厢信息识别 智能装车

2024

自动化应用
重庆西南信息有限公司

自动化应用

影响因子:0.156
ISSN:1674-778X
年,卷(期):2024.65(17)