Garbage Classification System Based on Image recognition and Sensor Network technology

Abstract:
With the development of computer science and technology, the advent of the internet age has promoted the development of the entire society, but it is accompanied by the serious problem of garbage pollution in people's production and life. However, at this stage, low recycling efficiency and traditional recycling methods limit economic development and environmental protection. This paper designs an intelligent recycling system based on image recognition and multi-sensor coordination, which has the functions of real-time detection of garbage classification, cellphone and voice interaction, the remaining volume of the recycling bin detection. The machine vision is used to obtain the recognition confidence of the object, and the main control unit gets the data of the sensor. Under the comprehensive judgment of the recognition confidence and the detection data, the recycling bin classifies the renewable resources which contain plastic bottles, glass bottles and cans.