Autonomous garbage detection for intelligent urban management

摘要：

　　With the development of smart city in major cities at home and abroad,especially the management of smart city,how to improve the intelligence level of urban environment monitoring and evaluation has become an important research topic.It is of great value to rapidly and accurately detect garbage from urban images in the application of intelligent urban management.This paper aims to adopt a deep learning strategy for automatic garbage detection.By training a Faster R-CNN open source framework with region proposal network and ResNet network algorithm,we look over garbage detection results on garbage images.In addition,to improve the accuracy of the method,a data fusion and augmentation strategy is proposed.As a result,experiments show that the method has favorable generalization ability and high-precision detection function.

作者: Ying Wang Xu Zhang

作者单位: School of Mechatronic Engineering and Automation,Shanghai University,Shanghai 200444,China

会议类型: 国际会议

会议名称: 2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)(2018第二届电子信息技术与计算机工程国际会议)(EITCE2018)

会议地点: 上海

会议语种:英文

页码: 1-5

在线出版日期: 2018-10-12（万方平台首次上网日期，不代表论文的发表时间）