To solve the problems of low efficiency and insufficient classification accuracy in the utilization of household waste,this paper designs an automatic recognition and classification garbage bin based on Raspberry Pi.The system uses Raspberry Pi as the computing core,MobilenetV2 transfer learning as the image recognition module,and two servos as the automatic classification module.At the same time,ThingsBoard IoT platform is added for personnel backend management.The test results show that the design can classify the four common types of garbage in daily life,with accuracy rates of over 87%and 81%under good and weak lighting conditions,respectively,indicating certain application value.
万方数据
维普
