【摘要】 矿用卡车装载体积检测是露天矿运输工作的重要内容，本文针对目前卡车装载体积检测方法精度较低、成本较高的问题，提出了融合VGG16和最小二乘法的卡车装载体积检测模型。首先采集图像作为模型的训练和测试样本，并经过图像预处理进行装载率类别分类；然后采用VGG16网络模型对卡车装载图像进行预分类，显示分类结果并确定每种类别的可能性大小；最后利用分类结果以及最小二乘算法计算卡车装载率。采用Python开发了相应的系统，实验结果表明模型具有较好的准确性与稳定性。更多还原

【Abstract】 Mining truck loading volume detection is an important part of open-pit transportation. Aiming at the problems of low accuracy and high cost of current truck loading volume detection methods, this paper proposes a truck loading volume detection model integrating VGG16 and least square method. Firstly, images are collected as training and test samples of the model, and the loading rate classification is carried out after image preprocessing; Then the VGG16 network model is used to pre-classify the truck loading images, display the classification results and determine the possibility of each category; Finally, the classification results and the least squares algorithm are used to calculate the truck loading rate. The corresponding system is developed using Python. The experimental results show that the model has relatively high accuracy and stability.更多还原