基于图像识别的分类垃圾桶设计与仿真
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引用本文:张 爽1,路 坦2,杨 光3,孙 凤2.基于图像识别的分类垃圾桶设计与仿真[J].计算技术与自动化,2022,(2):108-112
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张 爽1,路 坦2,杨 光3,孙 凤2 (1.沈阳工业大学 电气工程学院辽宁 沈阳 1108702.沈阳工业大学 工程实训中心辽宁 沈阳 1108703.沈阳航空航天大学 机电工程学院辽宁 沈阳 110135) 
中文摘要:垃圾分类是保护生态环境、促进经济发展的有效措施。以Arduino和Raspberry Pi为控制板结合Inception V3垃圾图像识别算法,针对厨余、可回收、其他、有害四类垃圾设计出垃圾识别准确率可达97%的分类垃圾桶。为验证该分类系统的可行性,进行了垃圾分类仿真实验,结果表明,编写的分类程序满足设计要求,系统可稳定运行,垃圾识别精准度高。
中文关键词:垃圾分类  Arduino控制板  Raspberry Pi控制板  舵机  图像识别
 
Design and Simulation of Classified Trash Can Based on Image Recognition
Abstract:Waste classification is an effective measure to protect the ecological environment and promotes economic development. This paper designs a classified garbage can which takes Arduino and Raspberry Pi as control boards, combined with the Inception V3 garbage image recognition algorithm,the classified garbage can has an accuracy of 97% for identifying kitchen waste, recyclable, other and harmful garbage. In order to verify the feasibility of the classification system, waste classification simulation experiments are carried out. The results show that the classification program meets the design requirements, the system can run stably and the accuracy of waste identification is high.
keywords:refuse classification  Arduino control board  Raspberry Pi control board  steering engine  image recognition
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