文献类型：期刊文献

英文题名：Automatic Drug Box Recognition Based on Depth Camera

作者：Zhang, Changzheng[1]; Xia, Qiaoyang[1]; Li, Shenghao[1]; Zhong, Simeng[1]; Liu, Shuang[1]

机构：[1] East China University of Science and Technology, Shanghai, China

年份：2021

起止页码：589

外文期刊名：2021 IEEE 11th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2021

收录：EI(收录号：20214711201912)

语种：英文

摘要：Automatic drug box recognition is crucial in the construction of automatic pharmacy. Complex patterns and variable sizes make it difficult to detect the drug box. Besides, a large number of highly similar drug boxes lead to a low recognition rate. This paper proposes an automatic drug box recognition method. This method utilizes the depth information and color information from the depth camera to detect drug boxes and calculate the size of the drug boxes, which improves the success rate of the detection. Then, the drug boxes are recognized by the ensemble learning of the lightweight neural network and the attention module is added to the ensemble learning to improve accuracy. A refinement scheme of size and region convolution neural network (SR-CNN) is proposed to further improve the accuracy of detection and recognition. Experiments show that the proposed method can effectively detect and recognize the drug boxes. ? 2021 IEEE.