Abstract
Aiming at solving the waste sorting problems of smart environmental sanitation, this paper proposes a novel smart waste sorting system, which consists of two sub-systems including a hardware system and a software system. The hardware system is of a trash bin framework based on the core module Raspberry Pi and the software one is of an image classification algorithm platform based on SURF-BoW algorithm and multi-class SVM classifier. In our experiment, the images produced during training and testing are both obtained from webcam in our system and extra processing with affine transformation and noise-adding operation. The experimental results show that among the five categories of waste, the battery waste performs best with 100% classification accuracy. Besides, the average classification accuracy is up to 83.38%. Therefore, our system has reliable practicability and robustness, which is expected to be applied to deal with the waste sorting problems in our daily life.
Highlights
As an important part of a smart city, smart environmental sanitation relies on the Internet of Things (IoT) and mobile Internet of Things to realize real-time sanitation management, involving the aspects of human beings, cars and almost everything
The above problems should be solved with an effective waste sorting method
Through literature research and data collection, we found that most of current automated waste sorting systems rely on hardware devices such as infrared sensor, metal sensor, etc. (Feng et al, 2014; Fan et al 2017; Chen et al, 2014; Ye et al 2017)
Summary
As an important part of a smart city, smart environmental sanitation relies on the Internet of Things (IoT) and mobile Internet of Things to realize real-time sanitation management, involving the aspects of human beings, cars and almost everything. It provides rational plans for sanitation management modes and utilizes digital technology to improve sanitation operations (Wang & Cao,2016). It is known that nowadays most of the urban waste around China is disposed by composting, landfilling or incineration.
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